Movatterモバイル変換


[0]ホーム

URL:


CN115593414A - A driving assistance method, vehicle, computer and storage medium based on V2X perception fusion technology - Google Patents

A driving assistance method, vehicle, computer and storage medium based on V2X perception fusion technology
Download PDF

Info

Publication number
CN115593414A
CN115593414ACN202211053199.5ACN202211053199ACN115593414ACN 115593414 ACN115593414 ACN 115593414ACN 202211053199 ACN202211053199 ACN 202211053199ACN 115593414 ACN115593414 ACN 115593414A
Authority
CN
China
Prior art keywords
vehicle
main
driving assistance
assistance method
target
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202211053199.5A
Other languages
Chinese (zh)
Other versions
CN115593414B (en
Inventor
周玉祥
周欣
王志刚
潘定海
原诚寅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing National New Energy Vehicle Technology Innovation Center Co Ltd
Original Assignee
Beijing National New Energy Vehicle Technology Innovation Center Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing National New Energy Vehicle Technology Innovation Center Co LtdfiledCriticalBeijing National New Energy Vehicle Technology Innovation Center Co Ltd
Priority to CN202211053199.5ApriorityCriticalpatent/CN115593414B/en
Publication of CN115593414ApublicationCriticalpatent/CN115593414A/en
Application grantedgrantedCritical
Publication of CN115593414BpublicationCriticalpatent/CN115593414B/en
Activelegal-statusCriticalCurrent
Anticipated expirationlegal-statusCritical

Links

Images

Classifications

Landscapes

Abstract

The invention relates to the technical field of automatic driving, in particular to a driving assistance method, a vehicle, a computer and a storage medium based on a V2X perception fusion technology; according to the auxiliary method, when the vehicles are converged into the main road from the ramp, the pre-judgment of the main vehicle replaces the driver to observe the road condition state of the main road in advance to make the pre-judgment in advance, so that the speed can be reduced or the vehicle can be parked to avoid the target vehicle of the main road, the warning can be given, and the traffic accident caused by vehicle collision due to the fact that the collision risk cannot be effectively pre-judged in time once the attention of the driver is not concentrated is avoided.

Description

Translated fromChinese
一种基于V2X感知融合技术的驾驶辅助方法、车辆、计算机以及存储介质A driving assistance method based on V2X perception fusion technology, vehicle, computer andand storage media

技术领域technical field

本发明涉及自动驾驶技术领域,具体涉及一种基于V2X感知融合技术的驾驶辅助方法、车辆、计算机以及存储介质。The present invention relates to the technical field of automatic driving, in particular to a driving assistance method based on V2X perception fusion technology, a vehicle, a computer and a storage medium.

背景技术Background technique

在智能网联汽车领域,车、路、智慧城市网联融合一体化是当前跨行业的发展趋势,“智能”+“网联”+“大数据”云平台技术发展和成熟是实现”智能汽车+”的技术基础和保障。In the field of intelligent networked vehicles, the integration of vehicles, roads, and smart city networks is the current cross-industry development trend. +” technical basis and guarantee.

智能驾驶技术是智能网联汽车的核心技术领域之一。其中,环境感知和控制决策是智能驾驶系统的核心技术瓶颈。当前在智能驾驶技术领域,系统环境感知能力远不成熟,是技术瓶颈中的瓶颈,也是实现智能驾驶的关键制约因素。单车感知(车载传感器)和车路协同(V2X)各有其局限性,两者的组合才能实现智能感知技术的突破和飞跃,是智能驾驶目前最可行系统解决方案和技术路线和方向。也就是说,实现为汽车智能驾驶赋能的环境感知能力,需要通过车载传感器和车路协同信息技术的融合,从而大大增强汽车的感知能力,最终达到大幅度增强汽车智能驾驶的功能、性能和安全可靠度。同时,车路协同应用普及后可以大大降低单车智能感知的成本。Intelligent driving technology is one of the core technical fields of intelligent networked vehicles. Among them, environmental perception and control decision-making are the core technical bottlenecks of the intelligent driving system. At present, in the field of intelligent driving technology, the system environment perception ability is far from mature, which is the bottleneck of the technical bottleneck and the key restricting factor for the realization of intelligent driving. Bicycle perception (on-board sensors) and vehicle-to-road coordination (V2X) have their own limitations. The combination of the two can achieve breakthroughs and leaps in intelligent perception technology. It is currently the most feasible system solution and technical route and direction for intelligent driving. That is to say, to realize the environmental perception ability that empowers the intelligent driving of automobiles, it is necessary to integrate vehicle-mounted sensors and vehicle-road collaborative information technology, thereby greatly enhancing the perception ability of automobiles, and finally greatly enhancing the functions, performance and capabilities of intelligent driving of automobiles. Safety and reliability. At the same time, the popularization of vehicle-road collaborative applications can greatly reduce the cost of single-vehicle intelligent perception.

开发基于车路协同的智能网联汽车,实现智能驾驶技术,解决场景超级复杂多变的问题是一个漫长的道路和过程。尽管实现全自动驾驶是智能网联汽车技术发展方向,但这是一个长远目标,实现普遍的商业化应用还需要很长的路要走。市场需求是推动技术进步和落地的决定因素。最近行业开始形成共识,通过V2X技术,解决关键危险场景的行车安全、交通拥堵和提高交通效率等问题,是最重要的市场第一刚需,也是交通出行中安全行车的最大痛点问题,这是今后几十年内需要逐步解决的问题。也就是说,解决关键危险场景的行车安全问题为当前最关键的目标,并促进技术的产业化落地。It is a long road and process to develop intelligent networked vehicles based on vehicle-road coordination, realize intelligent driving technology, and solve the problem of super complex and changeable scenarios. Although the realization of fully automatic driving is the development direction of intelligent networked vehicle technology, it is a long-term goal and there is still a long way to go to achieve universal commercial application. Market demand is the decisive factor to promote technological progress and implementation. Recently, the industry has begun to form a consensus. Using V2X technology to solve the problems of driving safety, traffic congestion, and improving traffic efficiency in key dangerous scenarios is the most important first demand in the market, and it is also the biggest pain point of safe driving in traffic travel. This is the future. A problem that needs to be solved step by step over decades. That is to say, solving the driving safety problem in key dangerous scenes is the most critical goal at present, and promoting the industrialization of technology.

ADAS是解决行车安全的典型系统驾驶员辅助系统,也是实现自动驾驶的技术基础,最近正在迅速发展,并且市场巨大。然而,尽管ADAS系统产品在市场上应用已经多年,但其技术还远不够成熟,ADAS的功能和性能也是严重受制于系统的感知能力。尤其在一些特殊的危险场景下,ADAS无法实现有效避撞功能。通过V2X技术,车载系统与路侧感知信息实现融合感知,可以突破系统在一些高风险场景中在感知和决策算法上的技术瓶颈,开发在功能得到拓展和和在性能上得到加强的ADAS+系统。本技术发明,目的是解决传统ADAS系统技术无法解决的高危场景之一,即基于V2X感知融合技术的高级驾驶辅助系统(ADAS+)在前方车辆突然切入场景下的驾驶辅助控制决策技术。ADAS is a typical driver assistance system that solves driving safety and is also the technical basis for automatic driving. It is developing rapidly recently and has a huge market. However, although ADAS system products have been used in the market for many years, its technology is far from mature enough, and the function and performance of ADAS are also severely restricted by the perception ability of the system. Especially in some special dangerous scenarios, ADAS cannot achieve effective collision avoidance. Through V2X technology, in-vehicle systems and roadside perception information can achieve fusion perception, which can break through the technical bottleneck of the system in perception and decision-making algorithms in some high-risk scenarios, and develop ADAS+ systems with expanded functions and enhanced performance. The purpose of this technical invention is to solve one of the high-risk scenarios that cannot be solved by traditional ADAS system technology, that is, the advanced driver assistance system (ADAS+) based on V2X perception fusion technology in the scene where the vehicle in front suddenly cuts into the driving assistance control decision-making technology.

安全行使是汽车用户的第一刚性需求。在行使过程中,车辆碰撞是造成交通事故的主要因素,譬如车辆由匝道汇入主路时,需要驾驶员提前观察主路路况状态,提前做出预判,减速或停车避让主路车辆,一旦驾驶员注意力不集中未能及时有效的预判碰撞风险,将导致车辆碰撞发生交通事故。Safe driving is the first rigid demand of car users. During driving, vehicle collision is the main factor causing traffic accidents. For example, when a vehicle merges into the main road from a ramp, the driver needs to observe the road conditions of the main road in advance, make a prediction in advance, and slow down or stop to avoid vehicles on the main road. If the driver's inattention fails to predict the collision risk in a timely and effective manner, it will lead to vehicle collisions and traffic accidents.

尽管现有技术试图解决这一问题,如前车碰撞报警(FCW)和紧急制动辅助(AEB)等传统辅助驾驶系统,但由于传统辅助驾驶系统普遍采用摄像头或毫米波等传感器,受传感器探测角度、探测范围等物理因素以及现有目标行为预测算法的限制,系统只能在有限范围内发现目标车辆,风险的预判能力大打折扣。Although existing technologies try to solve this problem, such as traditional assisted driving systems such as front collision warning (FCW) and emergency brake assist (AEB), because traditional assisted driving systems generally use sensors such as cameras or millimeter waves, they are subject to sensor detection. Due to physical factors such as angle and detection range, as well as the limitations of existing target behavior prediction algorithms, the system can only detect target vehicles within a limited range, and the ability to predict risks is greatly reduced.

总之,实现智能驾驶,核心技术瓶颈很多,其中环境感知技术和车辆控制策略是核心的核心,也是智能驾驶系统落地的制约因素。In short, to realize intelligent driving, there are many core technical bottlenecks, among which environmental perception technology and vehicle control strategy are the core core, and they are also the restrictive factors for the implementation of intelligent driving system.

发明内容Contents of the invention

本发明所要解决的技术问题是:提供一种降低匝道并入风险的基于V2X感知融合技术的驾驶辅助方法、车辆、计算机以及存储介质。The technical problem to be solved by the present invention is to provide a driving assistance method based on V2X perception fusion technology, a vehicle, a computer and a storage medium that reduce the risk of on-ramp merging.

为了解决上述技术问题,本发明采用的第一种技术方案为:In order to solve the problems of the technologies described above, the first technical solution adopted in the present invention is:

一种基于V2X感知融合技术的驾驶辅助方法,包括A driving assistance method based on V2X perception fusion technology, comprising

步骤一、主车进入匝道并道场景后并判断主道最右侧是否存在目标车辆,若否则记为事件A并正常行使,若是则判断主车是否先到达碰撞点,若是则判断主车进入主道后是否满足TTC大于第一预设值且THW大于第一设定阈值,若是则记为事件C并正常驾驶,若否则执行步骤二;若主车未能先到达碰撞点则预测主车进入主道后是否满足TTC大于第一预设值且THW大于第二设定阈值;若是则记为事件B并正常驾驶,若否则执行步骤二;Step 1. After the main vehicle enters the ramp merge scene, judge whether there is a target vehicle on the far right side of the main road. If not, record it as event A and drive normally. If so, determine whether the main vehicle has reached the collision point first. If so, determine whether the main vehicle entered After the main road, whether TTC is greater than the first preset value and THW is greater than the first set threshold, if so, record it as event C and drive normally, if not, perform step 2; if the main vehicle fails to reach the collision point first, predict the main vehicle After entering the main road, whether TTC is greater than the first preset value and THW is greater than the second set threshold; if so, record it as event B and drive normally, if not, go to step 2;

步骤二、判断安全线与主车的距离是否小于紧急制动的第三设定阈值,若是则紧急制动并执行步骤三,若否则判断安全线与主车的距离是否小于温和制动的第四设定阈值,若是则温和制动并执行步骤三,若否则判断安全线与主车的距离是否小于预警的第五设定阈值,若否则正常行使,若是则进行预警并执行步骤三;Step 2. Determine whether the distance between the safety line and the main vehicle is less than the third set threshold for emergency braking. If so, perform emergency braking and perform step 3. Otherwise, determine whether the distance between the safety line and the main vehicle is less than the third threshold for gentle braking. 4. Set the threshold, if yes, perform gentle braking and perform step 3, if otherwise, judge whether the distance between the safety line and the main vehicle is less than the fifth set threshold of the warning, if not, proceed normally, if so, perform the warning and perform step 3;

步骤三、当事件A、事件B、事件C至少满足的一个时,系统退出警报或制动,若主车已经停止,则提醒驾驶员及时驶入主道;Step 3. When at least one of event A, event B, and event C is satisfied, the system exits the alarm or brakes, and if the main vehicle has stopped, reminds the driver to drive into the main road in time;

所述TTC为主车与目标车辆发生碰撞的时间,若主车先到达碰撞点,则TTC的计算公式为:The TTC is the time when the main vehicle collides with the target vehicle. If the main vehicle arrives at the collision point first, the calculation formula of TTC is:

Figure BDA0003824540510000031
Figure BDA0003824540510000031

若主车未能先到达碰撞点,则TTC的计算公式为:If the main vehicle fails to reach the collision point first, the calculation formula of TTC is:

Figure BDA0003824540510000032
Figure BDA0003824540510000032

THW为车头时距,计算公式为:THW is the time headway, the calculation formula is:

Figure BDA0003824540510000033
Figure BDA0003824540510000033

其中,vSV为主车的行驶车速;vT为目标车辆的行驶速度;aSV为主车的加速度;aT为目标车辆的加速度;dR为车辆进入主道后与目标车辆之间的距离。Among them,vSV is the driving speed of the main vehicle;vT is the driving speed of the target vehicle;aSV is the acceleration of the main vehicle;aT is the acceleration of the target vehicle;dR is the distance between the vehicle and the target vehicle after entering the main road distance.

进一步的,所述第三设定阈值Dstop的计算公式为:Further, the calculation formula of the third set threshold Dstop is:

Figure BDA0003824540510000034
Figure BDA0003824540510000034

其中,tRBR制动系统响应时间。Among them, tRBR braking system response time.

进一步的,所述第四设定阈值dstop的计算公式为:Further, the calculation formula of the fourth set thresholddstop is:

Figure BDA0003824540510000035
Figure BDA0003824540510000035

其中,tSVD为驾驶员反应时间。Among them,tSVD is the reaction time of the driver.

进一步的,所述判断主车是否先到达碰撞点进一步包括Further, the judging whether the host vehicle arrives at the collision point first further includes

先判断目标车辆达到目标点的的时间T1,计算公式为First judge the time T1 when the target vehicle reaches the target point, the calculation formula is

Figure BDA0003824540510000041
Figure BDA0003824540510000041

其中,dT为目标车辆到碰撞点的距离;Among them,dT is the distance from the target vehicle to the collision point;

判断主车达到目标点的的时间T2,计算公式为To judge the time T2 when the main vehicle reaches the target point, the calculation formula is

Figure BDA0003824540510000042
Figure BDA0003824540510000042

其中,dS为主车到碰撞点的距离;Among them,dS is the distance from the main vehicle to the collision point;

若T1大于等于T2,则主车先到达碰撞点,否则目标车辆先到达碰撞点。If T1 is greater than or equal to T2, the host vehicle arrives at the collision point first, otherwise the target vehicle arrives at the collision point first.

进一步的,所述第一设定阈值为4.4。Further, the first set threshold is 4.4.

进一步的,所述第二设定阈值为1.2s。Further, the second set threshold is 1.2s.

进一步的,若目标车辆有多个,则每个目标车辆都进行判断。Further, if there are multiple target vehicles, each target vehicle will make a judgment.

为了解决上述技术问题,本发明采用的第二种技术方案为:In order to solve the above technical problems, the second technical solution adopted by the present invention is:

一种车辆,包括控制器,所述控制器执行上述的基于V2X感知融合技术的驾驶辅助方法。A vehicle, including a controller, the controller executes the above-mentioned driving assistance method based on V2X perception fusion technology.

为了解决上述技术问题,本发明采用的第三种技术方案为:In order to solve the above technical problems, the third technical solution adopted by the present invention is:

一种计算机,包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序,所述处理器执行所述计算机程序时实现上述的基于V2X感知融合技术的驾驶辅助方法。A computer, including a memory, a processor, and a computer program stored in the memory and operable on the processor, when the processor executes the computer program, the above-mentioned driving assistance based on V2X perception fusion technology is realized method.

为了解决上述技术问题,本发明采用的第四种技术方案为:In order to solve the problems of the technologies described above, the fourth technical solution adopted in the present invention is:

一种存储介质,所述存储介质计算机可读并存储有计算机程序,所述计算机程序被处理器执行时实现如上述的基于V2X感知融合技术的驾驶辅助方法。A storage medium is readable by a computer and stores a computer program. When the computer program is executed by a processor, the above-mentioned driving assistance method based on the V2X perception fusion technology is realized.

本发明的有益效果在于:通过本申请辅助方法,在车辆由匝道汇入主路时,通过主车自身的预判代替驾驶员提前观察主路路况状态而提前做出预判,能够减速或停车避让主路的目标车辆,也能够发出警告,避免了一旦驾驶员注意力不集中未能及时有效的预判碰撞风险,将导致车辆碰撞发生交通事故。The beneficial effect of the present invention is that: through the auxiliary method of the application, when the vehicle merges into the main road from the ramp, the main vehicle can make a prediction in advance instead of the driver to observe the road conditions of the main road in advance through the prediction of the main vehicle itself, so that it can slow down or stop The target vehicle that avoids the main road can also issue a warning, avoiding that once the driver is distracted and fails to predict the collision risk in a timely and effective manner, it will lead to vehicle collision and traffic accidents.

附图说明Description of drawings

图1为本发明具体实施方式的一种基于V2X感知融合技术的驾驶辅助方法的应用场景图;1 is an application scene diagram of a driving assistance method based on V2X perception fusion technology according to a specific embodiment of the present invention;

图2为本发明具体实施方式的一种基于V2X感知融合技术的驾驶辅助方法的应用时各个参与主体的系统图;FIG. 2 is a system diagram of each participating subject during the application of a driving assistance method based on V2X perception fusion technology according to a specific embodiment of the present invention;

图3为本发明具体实施方式的一种基于V2X感知融合技术的驾驶辅助方法的主车的逻辑控制图(图中&&为且的意思,图中TBD为to be determined待定的意思,即对应的第一预设值和第二预设值)。Fig. 3 is a logic control diagram of the main vehicle of a driving assistance method based on V2X perception fusion technology according to a specific embodiment of the present invention (&& in the figure means and, and TBD in the figure means to be determined to be determined, that is, the corresponding first preset value and second preset value).

具体实施方式detailed description

为详细说明本发明的技术内容、所实现目的及效果,以下结合实施方式并配合附图予以说明。In order to describe the technical content, achieved goals and effects of the present invention in detail, the following descriptions will be made in conjunction with the embodiments and accompanying drawings.

请参照图1至图3,一种基于V2X感知融合技术的驾驶辅助方法,包括Please refer to Figure 1 to Figure 3, a driving assistance method based on V2X perception fusion technology, including

步骤一、主车进入匝道并道场景后并判断主道最右侧是否存在目标车辆,若否则记为事件A并正常行使,若是则判断主车是否先到达碰撞点,若是则判断主车进入主道后是否满足TTC大于第一预设值且THW大于第一设定阈值,若是则记为事件C并正常驾驶,若否则执行步骤二;若主车未能先到达碰撞点则预测主车进入主道后是否满足TTC大于第一预设值且THW大于第二设定阈值;若是则记为事件B并正常驾驶,若否则执行步骤二;Step 1. After the main vehicle enters the ramp merge scene, judge whether there is a target vehicle on the far right side of the main road. If not, record it as event A and drive normally. If so, determine whether the main vehicle has reached the collision point first. If so, determine whether the main vehicle entered After the main road, whether TTC is greater than the first preset value and THW is greater than the first set threshold, if so, record it as event C and drive normally, if not, perform step 2; if the main vehicle fails to reach the collision point first, predict the main vehicle After entering the main road, whether TTC is greater than the first preset value and THW is greater than the second set threshold; if so, record it as event B and drive normally, if not, go to step 2;

步骤二、判断安全线与主车的距离是否小于紧急制动的第三设定阈值,若是则紧急制动并执行步骤三,若否则判断安全线与主车的距离是否小于温和制动的第四设定阈值,若是则温和制动并执行步骤三,若否则判断安全线与主车的距离是否小于预警的第五设定阈值,若否则正常行使,若是则进行预警并执行步骤三;Step 2. Determine whether the distance between the safety line and the main vehicle is less than the third set threshold for emergency braking. If so, perform emergency braking and perform step 3. Otherwise, determine whether the distance between the safety line and the main vehicle is less than the third threshold for gentle braking. 4. Set the threshold, if yes, perform gentle braking and perform step 3, if otherwise, judge whether the distance between the safety line and the main vehicle is less than the fifth set threshold of the warning, if not, proceed normally, if so, perform the warning and perform step 3;

步骤三、当事件A、事件B、事件C至少满足的一个时,系统退出警报或制动,若主车已经停止,则提醒驾驶员及时驶入主道;Step 3. When at least one of event A, event B, and event C is satisfied, the system exits the alarm or brakes, and if the main vehicle has stopped, reminds the driver to drive into the main road in time;

所述TTC为主车与目标车辆发生碰撞的时间,若主车先到达碰撞点,则TTC的计算公式为:The TTC is the time when the main vehicle collides with the target vehicle. If the main vehicle arrives at the collision point first, the calculation formula of TTC is:

Figure BDA0003824540510000061
Figure BDA0003824540510000061

若主车未能先到达碰撞点,则TTC的计算公式为:If the main vehicle fails to reach the collision point first, the calculation formula of TTC is:

Figure BDA0003824540510000062
Figure BDA0003824540510000062

THW为车头时距,计算公式为:THW is the time headway, the calculation formula is:

Figure BDA0003824540510000063
Figure BDA0003824540510000063

其中,vSV为主车的行驶车速;vT为目标车辆的行驶速度;aSV为主车的加速度;aT为目标车辆的加速度;dR为车辆进入主道后与目标车辆之间的距离。Among them,vSV is the driving speed of the main vehicle;vT is the driving speed of the target vehicle;aSV is the acceleration of the main vehicle;aT is the acceleration of the target vehicle;dR is the distance between the vehicle and the target vehicle after entering the main road distance.

从上述描述可知,通过本申请辅助方法,在车辆由匝道汇入主路时,通过主车自身的预判代替驾驶员提前观察主路路况状态而提前做出预判,能够减速或停车避让主路的目标车辆,也能够发出警告,避免了一旦驾驶员注意力不集中未能及时有效的预判碰撞风险,将导致车辆碰撞发生交通事故。As can be seen from the above description, through the auxiliary method of this application, when the vehicle merges into the main road from the ramp, the main vehicle itself can make a prediction in advance instead of the driver observing the road conditions of the main road in advance, and can slow down or stop to avoid the main road. The target vehicle on the road can also issue a warning, avoiding that once the driver is distracted and fails to predict the collision risk in a timely and effective manner, it will lead to a vehicle collision and a traffic accident.

进一步的,所述第三设定阈值Dstop的计算公式为:Further, the calculation formula of the third set threshold Dstop is:

Figure BDA0003824540510000064
Figure BDA0003824540510000064

其中,tRBR制动系统响应时间。Among them, tRBR braking system response time.

进一步的,所述第四设定阈值dstop的计算公式为:Further, the calculation formula of the fourth set thresholddstop is:

Figure BDA0003824540510000065
Figure BDA0003824540510000065

其中,tSVD为驾驶员反应时间。Among them,tSVD is the reaction time of the driver.

进一步的,所述判断主车是否先到达碰撞点进一步包括Further, the judging whether the host vehicle arrives at the collision point first further includes

先判断目标车辆达到目标点的的时间T1,计算公式为First judge the time T1 when the target vehicle reaches the target point, the calculation formula is

Figure BDA0003824540510000066
Figure BDA0003824540510000066

其中,dT为目标车辆到碰撞点的距离;Among them,dT is the distance from the target vehicle to the collision point;

判断主车达到目标点的的时间T2,计算公式为To judge the time T2 when the main vehicle reaches the target point, the calculation formula is

Figure BDA0003824540510000071
Figure BDA0003824540510000071

其中,dS为主车到碰撞点的距离;Among them,dS is the distance from the main vehicle to the collision point;

若T1大于等于T2,则主车先到达碰撞点,否则目标车辆先到达碰撞点。If T1 is greater than or equal to T2, the host vehicle arrives at the collision point first, otherwise the target vehicle arrives at the collision point first.

进一步的,所述第一设定阈值为4.4。Further, the first set threshold is 4.4.

进一步的,所述第二设定阈值为1.2s。Further, the second set threshold is 1.2s.

进一步的,若目标车辆有多个,则每个目标车辆都进行判断。Further, if there are multiple target vehicles, each target vehicle will make a judgment.

一种车辆,包括控制器,所述控制器执行上述的基于V2X感知融合技术的驾驶辅助方法。A vehicle, including a controller, the controller executes the above-mentioned driving assistance method based on V2X perception fusion technology.

一种计算机,包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序,所述处理器执行所述计算机程序时实现如上述的基于V2X感知融合技术的驾驶辅助方法。A computer, including a memory, a processor, and a computer program stored in the memory and operable on the processor, when the processor executes the computer program, the driving based on the above-mentioned V2X perception fusion technology is realized helper method.

一种存储介质,所述存储介质计算机可读并存储有计算机程序,所述计算机程序被处理器执行时实现如上述的基于V2X感知融合技术的驾驶辅助方法。A storage medium is readable by a computer and stores a computer program. When the computer program is executed by a processor, the above-mentioned driving assistance method based on the V2X perception fusion technology is realized.

实施例一Embodiment one

一种基于V2X感知融合技术的驾驶辅助方法,A driving assistance method based on V2X perception fusion technology,

使用场景参照图1;Refer to Figure 1 for usage scenarios;

各个参与主体的系统图参照图2;Refer to Figure 2 for the system diagram of each participant;

主车的逻辑控制图参照图3,Refer to Figure 3 for the logic control diagram of the main vehicle.

为方便解释说明匝道并道场景的态势评估及决策判断逻辑,定义相关参数如下:In order to facilitate the explanation of the situation assessment and decision-making logic of the ramp-merging scenario, the relevant parameters are defined as follows:

主道最右侧车辆(以下统称目标车辆)行驶速度为vTThe vehicle on the far right side of the main road (hereinafter collectively referred to as the target vehicle) travels at a speed vT ;

本车SV行驶方向与目标车辆行驶方向交汇点为碰撞点O;The collision point O is the intersection of the traveling direction of the vehicle SV and the traveling direction of the target vehicle;

目标车辆到碰撞点O的距离dTThe distance dT from the target vehicle to the collision point O;

目标车辆加速度为aTThe acceleration of the target vehicle is aT ;

主车行驶车速为vSVThe driving speed of the main vehicle is vSV ;

主车与安全线(主道最右侧车道的右侧车道线与匝道的交线)的距离为dpThe distance between the main vehicle and the safety line (the intersection line between the right lane line of the rightmost lane of the main road and the ramp) is dp ;

主车加速度为aSVThe acceleration of the main vehicle is aSV ;

主车到碰撞点O的距离ds;The distance ds from the main vehicle to the collision point O;

主车驾驶员反应时间为tSVD,主车制动系统响应时间为tRBRThe reaction time of the driver of the main vehicle is tSVD , and the response time of the braking system of the main vehicle is tRBR .

①根据V2I信息、V2V信息、自车摄像头信息、前向毫米波雷达信息、侧向角雷达信息的融合感知结果判断该场景附近主道最右侧车道内是否存在目标车辆的Flag。若无目标车辆,主车可正常并入主道,否则,做进一步风险逻辑判断。① According to the fusion perception results of V2I information, V2V information, self-vehicle camera information, forward millimeter-wave radar information, and side angle radar information, determine whether there is a flag of the target vehicle in the rightmost lane of the main road near the scene. If there is no target vehicle, the main vehicle can merge into the main road normally, otherwise, make further risk logic judgment.

②若主道右侧车道存在目标车辆,根据目标车辆和主车的运动关系及位置关系进一步判断主车在并道中和并道后是否存在发生碰撞的风险。为此,先判断目标车辆和主车到达碰撞点O的先后时间关系。目标车到点O的时间T1的计算公式如下:② If there is a target vehicle in the right lane of the main road, according to the motion relationship and position relationship between the target vehicle and the main vehicle, it is further judged whether there is a risk of collision between the main vehicle during and after merging. To this end, first judge the time relationship between the target vehicle and the host vehicle arriving at the collision point O. The calculation formula of the time T1 for the target vehicle to point O is as follows:

Figure BDA0003824540510000081
Figure BDA0003824540510000081

自车到点O的时间T2的计算公式如下:The calculation formula of the time T2 from the car to point O is as follows:

Figure BDA0003824540510000082
Figure BDA0003824540510000082

若T1≥T2,说明主车先到达碰撞点,否则目标车先到达碰撞点。若主车先到达碰撞点,待主车进入主道后,目标车作为后车对主车有无碰撞风险视二者的相对运动关系及相对位置关系而定,但由于目标车速和本车车速大小逻辑关系未知,故使用TTC和THW(车头时距)联合预测主车在不减速的情况下,进入主道后对目标车干扰的程度:If T1≥T2, it means that the main vehicle arrives at the collision point first, otherwise the target vehicle arrives at the collision point first. If the main vehicle arrives at the collision point first, after the main vehicle enters the main road, whether the target vehicle as the rear vehicle has the risk of collision with the main vehicle depends on the relative motion relationship and relative position relationship between the two, but due to the target vehicle speed and the vehicle speed The size of the logical relationship is unknown, so TTC and THW (time headway) are used to jointly predict the degree of interference to the target vehicle after the host vehicle enters the main road without decelerating:

Figure BDA0003824540510000083
Figure BDA0003824540510000083

Figure BDA0003824540510000084
Figure BDA0003824540510000084

其中,dR为车辆进入主道后与目标车辆之间的距离,若该值为正说明到达点O后,主车在目标车之前,否则,主车则位于目标车之后。其计算公式如下:Among them, dR is the distance between the vehicle and the target vehicle after entering the main road. If the value is positive, it means that after reaching point O, the host vehicle is in front of the target vehicle, otherwise, the host vehicle is behind the target vehicle. Its calculation formula is as follows:

dR=dT-T2*vT (3.5)dR =dT -T2*vT (3.5)

当TTC大于设定阈值(默认为4.4)且THW大于设定阈值(默认为1.2s)时,认为二者无碰撞风险,主车可正常并入主道,反之则存在碰撞风险。When TTC is greater than the set threshold (4.4 by default) and THW is greater than the set threshold (1.2s by default), it is considered that there is no risk of collision between the two, and the main vehicle can merge into the main road normally, otherwise there is a risk of collision.

若T1<T2时,说明目标车先到达碰撞点。考虑传感器延迟误差、测量误差、计算误差等影响,对于目标车先到达碰撞点的情况,不能完全保证二者无碰撞风险,所以必须确保主车进入主道时,目标车已驶过一定距离。同样,使用TTC、THW两个参数共同表征二者存在碰撞风险的级别:If T1<T2, it means that the target vehicle arrives at the collision point first. Considering the effects of sensor delay error, measurement error, calculation error, etc., for the case where the target vehicle arrives at the collision point first, it cannot be completely guaranteed that there is no risk of collision between the two, so it must be ensured that when the host vehicle enters the main road, the target vehicle has already driven a certain distance. Similarly, the two parameters of TTC and THW are used to jointly characterize the level of collision risk between the two:

Figure BDA0003824540510000091
Figure BDA0003824540510000091

Figure BDA0003824540510000092
Figure BDA0003824540510000092

当TTC大于设定阈值时(默认为4.4)且THW大于设定阈值(默认为1.2s),认为二者无碰撞风险,主车可正常并入主道,反之则存在碰撞风险。When TTC is greater than the set threshold (4.4 by default) and THW is greater than the set threshold (1.2s by default), it is considered that there is no risk of collision between the two, and the main vehicle can merge into the main road normally, otherwise there is a risk of collision.

③当主车和目标车存在碰撞风险时,根据碰撞风险的程度控制车辆减速的程度。所以根据主车距离安全线的距离判断发生碰撞的风险等级状态。③ When there is a collision risk between the host vehicle and the target vehicle, the degree of vehicle deceleration is controlled according to the degree of collision risk. Therefore, according to the distance between the main vehicle and the safety line, the risk level state of the collision is judged.

a)系统首先会判断车辆是否处于非常紧急的状态,若通过人为干预已不能避免碰撞,则需要系统自动介入,通过强力紧急刹车来避免碰撞或减轻碰撞。设定系统紧急制动触发阈值,当车辆距安全线的距离dp小于紧急制动触发阈值时,第一时间启动紧急制动。紧急制动阈值就算公式如下:a) The system will first judge whether the vehicle is in a very urgent state. If the collision cannot be avoided through human intervention, the system needs to automatically intervene to avoid or mitigate the collision through strong emergency braking. Set the emergency braking trigger threshold of the system. When the distance dp between the vehicle and the safety line is less than the emergency braking trigger threshold, the emergency braking will be activated immediately. The formula for the emergency braking threshold is as follows:

Figure BDA0003824540510000093
Figure BDA0003824540510000093

b)其次,系统会判断车辆是否处于相对紧急的状态,这时系统会通过缓刹车进行提醒,期待驾驶员主动接管车辆。当车辆距安全线的距离dp小于温和制动触发阈值时,启动温和制动。温和制动阈值的计算公式同紧急制动,区别在于aSV的取值大小,具体取值同斑马线场景保持一致。b) Secondly, the system will judge whether the vehicle is in a relatively urgent state. At this time, the system will remind through slow braking, expecting the driver to actively take over the vehicle. When the distance dp of the vehicle from the safety line is less than the trigger threshold of gentle braking, the gentle braking is initiated. The calculation formula of the gentle braking threshold is the same as that of emergency braking, the difference lies in the value of aSV , and the specific value is consistent with the zebra crossing scene.

c)在该阶段最后,系统会判断车辆是否处于潜在风险状态,这时系统以声音和视觉提醒为主。当车辆距安全线的距离dp小于预警触发阈值时,启动预警功能。预警阈值的计算公式如下:c) At the end of this stage, the system will judge whether the vehicle is in a potential risk state. At this time, the system mainly uses sound and visual reminders. When the distance dp between the vehicle and the safety line is less than the trigger threshold of the warning, the warning function is activated. The formula for calculating the warning threshold is as follows:

Figure BDA0003824540510000094
Figure BDA0003824540510000094

④当A(目标车不存在)、B(主车后到碰撞点且已与目标车保持一定安全距离)、C(主车先到碰撞点且与目标车保持一定安全距离)事件至少有一个满足时,系统退出报警或制动。若车辆已处于刹停状态,通过仪表或声音提醒驾驶员及时驶入主车道。④ When there is at least one event in A (the target car does not exist), B (the main car arrives at the collision point and has kept a certain safe distance from the target car), and C (the main car arrives at the collision point first and keeps a certain safe distance from the target car) When satisfied, the system exits the alarm or brakes. If the vehicle is already in the braking state, the driver will be reminded to drive into the main lane in time through the instrument or sound.

另外,当存在多辆目标车时,每个目标车都要进行安全判断,各目标安全风险需同时考虑,当有至少一个目标存在碰撞风险时,都要进行安全风险等级的判断并执行相应的策略,或紧急制动,或温和制动,或声光提醒。In addition, when there are multiple target vehicles, each target vehicle must make a safety judgment, and the safety risks of each target must be considered at the same time. When at least one target has a collision risk, the safety risk level must be judged and the corresponding Strategy, or emergency braking, or gentle braking, or sound and light reminders.

以上所述仅为本发明的实施例,并非因此限制本发明的专利范围,凡是利用本发明说明书及附图内容所作的等同变换,或直接或间接运用在相关的技术领域,均同理包括在本发明的专利保护范围内。The above description is only an embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent transformations made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in related technical fields, are all included in the same principle. Within the scope of patent protection of the present invention.

Claims (10)

1. A driving assistance method based on a V2X perception fusion technology is characterized by comprising the following steps
Step one, after a main vehicle enters a ramp and road scene, judging whether a target vehicle exists on the rightmost side of a main road or not, if not, marking as an event A and normally driving, if so, judging whether the main vehicle firstly reaches a collision point or not, if so, judging whether TTC is greater than a first preset value and THW is greater than a first set threshold value or not after the main vehicle enters the main road, marking as an event C and normally driving, and if not, executing a step two; if the main vehicle cannot reach the collision point firstly, whether the TTC of the main vehicle is larger than a first preset value and the THW of the main vehicle is larger than a second set threshold value after the main vehicle enters the main road is predicted; if yes, recording as an event B and driving normally, otherwise, executing a step two;
judging whether the distance between the safety line and the main vehicle is smaller than a third set threshold value of emergency braking, if so, performing emergency braking and executing the third step, otherwise, judging whether the distance between the safety line and the main vehicle is smaller than a fourth set threshold value of mild braking, if so, performing mild braking and executing the third step, otherwise, judging whether the distance between the safety line and the main vehicle is smaller than a fifth set threshold value of early warning, and if not, performing normal driving, if so, performing early warning and executing the third step;
step three, when the event A, the event B and the event C are at least satisfied, the system quits the alarm or the brake, and if the main vehicle stops, the driver is reminded to enter the main road in time;
the TTC is the time when the host vehicle collides with the target vehicle, and if the host vehicle reaches the collision point before, the calculation formula of the TTC is as follows:
Figure FDA0003824540500000011
if the main vehicle cannot reach the collision point before, the calculation formula of the TTC is as follows:
Figure FDA0003824540500000012
THW is the headway time interval, and the calculation formula is as follows:
Figure FDA0003824540500000013
wherein v isSV Is the running speed of the host vehicle; v. ofT Is the running speed of the target vehicle; a isSV Is the acceleration of the host vehicle; a isT Is the acceleration of the target vehicle; d is a radical ofR The distance between the vehicle and the target vehicle after the vehicle enters the main road.
2. The V2X perception-fusion technology-based driving assistance method according to claim 1, wherein the third set threshold Dstop The calculation formula of (2) is as follows:
Figure FDA0003824540500000021
wherein, tRBR Brake system response time.
3. The V2X perception-fusion technology-based driving assistance method according to claim 1, wherein the fourth set threshold d is setstop The calculation formula of (2) is as follows:
Figure FDA0003824540500000022
wherein, tSVD The driver reaction time.
4. The V2X perception fusion technology-based driving assistance method according to claim 1, wherein the determining whether the host vehicle has first reached the collision point further includes
Firstly, the time T1 of the target vehicle reaching the target point is judged, and the calculation formula is
Figure FDA0003824540500000023
Wherein, dT Is the distance of the target vehicle to the collision point;
the time T2 of the main vehicle reaching the target point is judged, and the calculation formula is
Figure FDA0003824540500000024
Wherein d isS Is the distance from the host vehicle to the collision point;
if T1 is greater than or equal to T2, the host vehicle reaches the collision point first, otherwise the target vehicle reaches the collision point first.
5. The V2X perception fusion technology-based driving assistance method according to claim 1, wherein the first set threshold is 4.4.
6. The driving assistance method based on the V2X perception fusion technology according to claim 1, wherein the second set threshold is 1.2s.
7. The driving assistance method based on the V2X perception fusion technology according to claim 1, wherein if there are a plurality of target vehicles, each target vehicle makes a determination.
8. A vehicle characterized by comprising a controller that executes the driving assistance method based on the V2X perception fusion technology according to any one of claims 1 to 7.
9. A computer comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the driving assistance method based on the V2X perception fusion technology according to any one of claims 1 to 7.
10. A storage medium computer-readable and having stored thereon a computer program, wherein the computer program when executed by a processor implements the V2X perception fusion technology-based driving assistance method according to any one of claims 1-7.
CN202211053199.5A2022-08-312022-08-31 A driving assistance method, vehicle, computer and storage medium based on V2X perception fusion technologyActiveCN115593414B (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN202211053199.5ACN115593414B (en)2022-08-312022-08-31 A driving assistance method, vehicle, computer and storage medium based on V2X perception fusion technology

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN202211053199.5ACN115593414B (en)2022-08-312022-08-31 A driving assistance method, vehicle, computer and storage medium based on V2X perception fusion technology

Publications (2)

Publication NumberPublication Date
CN115593414Atrue CN115593414A (en)2023-01-13
CN115593414B CN115593414B (en)2025-05-16

Family

ID=84843986

Family Applications (1)

Application NumberTitlePriority DateFiling Date
CN202211053199.5AActiveCN115593414B (en)2022-08-312022-08-31 A driving assistance method, vehicle, computer and storage medium based on V2X perception fusion technology

Country Status (1)

CountryLink
CN (1)CN115593414B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN109272748A (en)*2018-09-062019-01-25东南大学 Method and system for ramping combined approach of vehicle and vehicle communication combined with assisted driving environment
CN112927512A (en)*2021-02-242021-06-08山东科技大学Expressway ramp confluence control system and method
US20210294352A1 (en)*2020-03-202021-09-23Glydways, Inc.Vehicle control schemes for autonomous vehicle system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN109272748A (en)*2018-09-062019-01-25东南大学 Method and system for ramping combined approach of vehicle and vehicle communication combined with assisted driving environment
US20210294352A1 (en)*2020-03-202021-09-23Glydways, Inc.Vehicle control schemes for autonomous vehicle system
CN112927512A (en)*2021-02-242021-06-08山东科技大学Expressway ramp confluence control system and method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
朱西产;魏昊舟;马志雄;: "基于自然驾驶数据的跟车场景潜在风险评估", 中国公路学报, no. 04, 15 April 2020 (2020-04-15)*
秦严严;: "自适应巡航控制系统对交通安全的影响研究", 徐州工程学院学报(自然科学版), no. 04, 30 December 2017 (2017-12-30)*

Also Published As

Publication numberPublication date
CN115593414B (en)2025-05-16

Similar Documents

PublicationPublication DateTitle
CN113593273B (en)No-signal control road intersection collision early warning method based on V2I communication
CN110356377B (en)Decision-making method for automatic emergency braking, vehicle-mounted equipment and storage medium
CN109562760B (en) Predictions for Autonomous Vehicle Testing
CN110395251B (en)Automatic emergency braking decision-making method based on multi-sensor fusion data
CN102971175B (en)The Emergency avoidance device of vehicle
CN114435398B (en)Decision control method of ADAS (advanced automatic analysis system) under front vehicle shielding scene based on V2X
WO2022007655A1 (en)Automatic lane changing method and apparatus, and device and storage medium
CN111051173B (en) Vehicle and its control device and control method
WO2023115987A1 (en)Control decision-making method based on vehicle-infrastructure perception fusion technology in front vehicle cut-in scenario
CN107226089A (en) A collision avoidance strategy for driverless cars
CN113044015A (en)System and method for emergency braking
US12054141B2 (en)Device and method for reducing collision risk
JP6817413B2 (en) Vehicle control device
CN102800214A (en)Vehicle lane change conflict resolution method under vehicle information interaction condition
CN115171413B (en)Control method and system for shielding scene of traffic light based on vehicle road sensing fusion technology
US10807609B2 (en)Vehicle control device
CN111768651B (en)Early warning method and device for preventing vehicle collision
CN115214626B (en)Parking control method, parking control device, vehicle and storage medium
CN105946854A (en)Vehicular automatic power control system and method and car
CN108520639B (en)Early warning method and system for preventing vehicle collision
CN107924615A (en)Information carrying means, electronic control unit, information transmitting apparatus and electronic control system
CN113022560A (en)Vehicle anti-collision control method and device, computer equipment, storage medium and vehicle
CN115158318A (en)Intelligent driving control method and system for bus station
JP5018102B2 (en) Collision prevention device
CN115593414A (en) A driving assistance method, vehicle, computer and storage medium based on V2X perception fusion technology

Legal Events

DateCodeTitleDescription
PB01Publication
PB01Publication
SE01Entry into force of request for substantive examination
SE01Entry into force of request for substantive examination
GR01Patent grant
GR01Patent grant

[8]ページ先頭

©2009-2025 Movatter.jp