Movatterモバイル変換


[0]ホーム

URL:


CN109987092A - A kind of determination method on vehicle obstacle-avoidance lane-change opportunity and the control method of avoidance lane-change - Google Patents

A kind of determination method on vehicle obstacle-avoidance lane-change opportunity and the control method of avoidance lane-change
Download PDF

Info

Publication number
CN109987092A
CN109987092ACN201711460191.XACN201711460191ACN109987092ACN 109987092 ACN109987092 ACN 109987092ACN 201711460191 ACN201711460191 ACN 201711460191ACN 109987092 ACN109987092 ACN 109987092A
Authority
CN
China
Prior art keywords
vehicle
lane
change
obstacle
speed
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
CN201711460191.XA
Other languages
Chinese (zh)
Other versions
CN109987092B (en
Inventor
吴光耀
苏常军
杨学青
刘振楠
王辉
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.)
Yutong Bus Co Ltd
Original Assignee
Zhengzhou Yutong Bus 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 Zhengzhou Yutong Bus Co LtdfiledCriticalZhengzhou Yutong Bus Co Ltd
Priority to CN201711460191.XApriorityCriticalpatent/CN109987092B/en
Publication of CN109987092ApublicationCriticalpatent/CN109987092A/en
Application grantedgrantedCritical
Publication of CN109987092BpublicationCriticalpatent/CN109987092B/en
Activelegal-statusCriticalCurrent
Anticipated expirationlegal-statusCritical

Links

Classifications

Landscapes

Abstract

The present invention relates to intelligent automobile automation fields, the determination method on especially a kind of vehicle obstacle-avoidance lane-change opportunity and the control method of avoidance lane-change, the determination method on the lane-change opportunity is by obtaining obstacles around the vehicle information and traffic information, judge whether impose a condition between obstacles around the vehicle and vehicle, determine that vehicle can carry out avoidance lane-change when meeting and imposing a condition, simultaneously, it is carried out curve fitting according to starting point coordinate, coordinate of ground point and road course angle, the path from starting point coordinate to coordinate of ground point is obtained, which is lane-change path;By Vehicular intelligent environment sensing ability, guarantees the planning avoidance lane-change path of intelligence while vehicle safe driving, solve the problems, such as that automatic obstacle-avoiding or lane-change control strategy are unreasonable in intelligent automobile automatic Pilot.

Description

A kind of determination method on vehicle obstacle-avoidance lane-change opportunity and the control method of avoidance lane-change
Technical field
The present invention relates to intelligent automobile automation field, the determination method on especially a kind of vehicle obstacle-avoidance lane-change opportunity andThe control method of avoidance lane-change.
Background technique
Intelligent vehicle ordinary circumstance is exactly to increase advanced sensor, controller in the foundation structure of common vehicle and holdLuggage is set, and the intelligent information exchange of vehicle, road and driver etc. are realized by vehicle-mounted sensor-based system and information system, has vehicleStandby certain intelligent environment sensing capability, identifies path, analyzes present road situation, in conjunction with vehicle location, detects barrier, realExisting real-time early warning stops, avoidance in time according to reality, improves the safety of traveling and according to path and driver's wishThe reasonable traveling strategy of configuration.
Having Chinese patent notification number is that the patent document of CN104407613B discloses a kind of avoidance path smooth optimization sideMethod, this method obtain barrier region range first;Then the start node and destination node of avoidance searching route are obtained, and justBegin to define start node to be label starting point, destination node is label terminal;It obtains and is connected between label starting point and label terminal againThe each point coordinate of line;Then by judging to obtain whether coordinate is located within the scope of barrier region, after judgement redefinesWhether label starting point is equal to label terminal, carries out corresponding operating to obtain smooth paths;Finally by the path start node of acquisitionIt is defined as label terminal, destination node is defined as label starting point, re-starts judgement operation, keeping away after finally obtaining smooth optimizationHinder path.This method can reduce the accumulative turnover number in avoidance searching route, reduce accumulative turn in avoidance searching routeDog-ear degree effectively reduces the length of avoidance searching route.But the target point of vehicle can not be determined according to real-time traffic informationCoordinate is set, meanwhile, the although less length of avoidance searching route in the avoidance path that is obtained by above method smooth optimization, butFor vehicle driving, reasonability is poor, has certain influence to driving safety.
Summary of the invention
The object of the present invention is to provide a kind of determination method on vehicle obstacle-avoidance lane-change opportunity and the control method of avoidance lane-change,To solve the problems, such as that automatic obstacle-avoiding or lane-change control strategy are unreasonable in intelligent automobile automatic Pilot.
To achieve the above object, the present invention provides a kind of determination method on vehicle obstacle-avoidance lane-change opportunity, including identified belowMethod and technology scheme:
Determine method scheme one: a kind of determination method on vehicle obstacle-avoidance lane-change opportunity, method includes the following steps:
1) whether detection vehicle front has barrier, if so, judging whether the distance of vehicle front barrier and speed are fullFoot first imposes a condition, if satisfied, detection vehicle right side or left-hand lane obstacle information;
2) judge whether the lateral distance of vehicle front barrier and its right side or left side barrier is greater than set distance;
3) if more than then judging whether there is barrier within the scope of vehicle right side or at least one lane width of left side;
If 4) judge whether the distance at vehicle right side rear or left side rear obstacle and speed meet without barrierSecond imposes a condition, if satisfied, then to the right or left side lane-change.
Beneficial effect is that this determination method scheme one is determined by obtaining obstacles around the vehicle information and traffic informationWhether vehicle carries out lane-change maneuver, by the intelligent environment sensing capability of vehicle, guarantees intelligence while vehicle safe drivingIt plans avoidance lane-change, solves the problems, such as that automatic obstacle-avoiding or lane-change control strategy are unreasonable in intelligent automobile automatic Pilot.
Determine method scheme two: on the basis of determining method scheme one, described first imposes a condition are as follows: vehicle front barrierThe speed of object is hindered to be less than the 1/2 of this vehicle speed, and front obstacle is more than or equal to two this vehicle vehicle bodies at a distance from this vehicle.
Determine method scheme three: on the basis of determining method scheme one or determining method scheme two, second settingCondition are as follows: vehicle right side rear or left side rear obstacle at a distance from this vehicle rear end not less than 1 this vehicle vehicle body and speed it is smallIn this vehicle speed;Or vehicle right side rear or left side rear obstacle speed are greater than this vehicle speed, and at a distance from this vehicle rear endGreater than 2 this vehicle vehicle bodies.
Determine method scheme four: on the basis of determining method scheme three, the set distance is 1 lane width.
The present invention provides a kind of control method of vehicle obstacle-avoidance lane-change, including following control method technical solution:
Control method scheme one: a kind of control method of vehicle obstacle-avoidance lane-change, method includes the following steps:
1) whether detection vehicle front has barrier, if so, judging whether the distance of vehicle front barrier and speed are fullFoot first imposes a condition, if satisfied, detection vehicle right side or left-hand lane obstacle information;
2) judge whether the lateral distance of vehicle front barrier and right side or left side barrier is greater than set distance;
3) if more than then judging whether there is barrier within the scope of vehicle right side or at least one lane width of left side;
If 4) judge whether the distance at vehicle right side rear or left side rear obstacle and speed meet without barrierSecond imposes a condition, if satisfied, then to the right or left side lane-change;
5) when vehicle is to the left or when the lane-change of right side, the starting point coordinate, coordinate of ground point and road course of lane-change are determinedAngle;
6) it is carried out curve fitting, is obtained from starting point coordinate according to starting point coordinate, coordinate of ground point and road course angleTo the path of coordinate of ground point, which is lane-change path.
Control method scheme two: on the basis of control method scheme one, described first imposes a condition are as follows: vehicle front barrierThe speed of object is hindered to be less than the 1/2 of this vehicle speed, and front obstacle is more than or equal to two this vehicle vehicle bodies at a distance from this vehicle.
Control method scheme three: on the basis of control method scheme one or control method scheme two, second settingCondition are as follows: vehicle right side rear or left side rear obstacle at a distance from this vehicle rear end not less than 1 this vehicle vehicle body and speed it is smallIn this vehicle speed;Or vehicle right side rear or left side rear obstacle speed are greater than this vehicle speed, and at a distance from this vehicle rear endGreater than 2 this vehicle vehicle bodies.
Control method scheme four: on the basis of control method scheme three, the set distance is 1 lane width.
Control method scheme five: on the basis of control method scheme one, control method scheme two or control method scheme fourOn, the method for the curve matching is B-spline method.
Control method scheme six: on the basis of control method scheme five, the B-spline method is B-spline Curve method.
Control method scheme seven: on the basis of control method scheme six, there is maximum in the B-spline curves planning processThe calculating of boundary's curvature is as follows: the shape of B-spline curves is determined by control point completely, for the determining Duan Sanci in three control pointsB-spline curves increase the midpoint of two line segments as new control point, and B-spline shape depends on lesser line in two line segmentsThe angle α of segment length L and two line segments obtain the Curvature varying of B-spline curves are as follows:
It enablesIt can be in the hope of as u=0.5, κ has maximum value;Curvature maximum substitute into above formula, thus obtain L andThe relationship of α between the two:
Wherein, any two adjacent control wires section meets above-mentioned relation, that is, can guarantee the curvature of B-spline curves.
Control method scheme eight: in control method scheme one, control method scheme two, control method scheme four, controlling partyOn the basis of method scheme six or control method scheme seven, before vehicle reaches target point, also judge whether vehicle meets return itemPart, if satisfied, then being returned according to setting return path control vehicle;If not satisfied, then controlling vehicle straight trip;
The return condition is specific as follows: 1, clear within the scope of vehicle returning direction side setting safe distance;2,The rear clear of vehicle returning direction side, or there are barrier but apart from this tailstock portion be greater than set it is safe when away from;3, the front clear of vehicle returning direction side, or there is barrier but speed to be greater than this vehicle speed.
Detailed description of the invention
Fig. 1 is a kind of avoidance lane-change system schematic of intelligent automobile;
Fig. 2 is a kind of control method flow chart of vehicle obstacle-avoidance lane-change;
Fig. 3 is the convex closure schematic diagram of B-spline curves;
Fig. 4 is the variable of two influence B-spline Curve shapes;
Fig. 5 is a kind of B-spline curves planning schematic diagram of the control method of vehicle obstacle-avoidance lane-change.
Specific embodiment
The present invention will be further described in detail with reference to the accompanying drawing.
The present invention provides a kind of control method of vehicle obstacle-avoidance lane-change, can be applied in pilotless automobile, such as Fig. 1 instituteShow, which includes crosswise joint module, longitudinally controlled module, information Fusion Module and decision-making module, wherein letterIt ceases Fusion Module setting and is received for sampling connection ZigBee, a line laser radar, ultrasonic radar, red street lamp signal RFDevice, inertial navigation GPS, Lane detection video camera and millimetre-wave radar, and sampled signal is handled or parsed;Decision-making moduleInput terminal link information Fusion Module, for acquiring the output signal of information Fusion Module, while carrying logic judgment and outputSignal is controlled to crosswise joint module and longitudinally controlled module;Crosswise joint module controls the acceleration and deceleration of vehicle, longitudinal to controlMolding block controls steering wheel angle, to control vehicle obstacle-avoidance, lane-change.
The present invention provides a kind of control method of vehicle obstacle-avoidance lane-change, as shown in Fig. 2, when including a kind of vehicle obstacle-avoidance lane-changeThe determination method of machine, the specific steps are as follows:
1, obstacles around the vehicle and traffic information are obtained.
Vehicle front obstacle, rear obstacle, left and right front obstacle, left and right rear are acquired by radar or cameraThe information and traffic information of barrier, for example, with barrier spacing, barrier speed, lane width etc..
2, by the determination method on vehicle obstacle-avoidance lane-change opportunity, judge whether to meet lane-change condition.
Lane-change condition needs to guarantee vehicle safety and passenger comfort, and the generation of lane-changing intention needs to carry out multi-group dataComparison, judgment and detection repeatedly just carry out steering operation when thinking to meet lane-change condition, meanwhile, when the intention of lane-change generatesIntelligent vehicle is as human driver, and preset turn signal provides temporal guarantee before steering, keeps intelligent vehicle smoothGround incorporates normal traffic flow.But the width value for turning to intention time cannot be excessive, spends the opportunity that senior general misses lane-change;Also notCan be too small, it is too small, reduce the driving safety of vehicle.The determination method on vehicle obstacle-avoidance lane-change opportunity, specific steps include:
1) whether detection vehicle front has barrier, if so, judging whether the distance of vehicle front barrier and speed are fullFoot first imposes a condition, if satisfied, detection vehicle right side or left-hand lane obstacle information;
2) judge whether the lateral distance of vehicle front barrier and right side or left side barrier is greater than set distance;
3) if more than then judging whether there is barrier within the scope of vehicle right side or at least one lane width of left side;
If 4) judge whether the distance at vehicle right side rear or left side rear obstacle and speed meet without barrierSecond imposes a condition, if satisfied, then to the right or left side lane-change.
It wherein first imposes a condition are as follows: the speed of vehicle front barrier is less than the 1/2 of this vehicle speed, and preceding objectObject is more than or equal to two this vehicle vehicle bodies at a distance from this vehicle;Second imposes a condition are as follows: vehicle right side rear or left side rear barrierHinder object at a distance from this vehicle rear end not less than 1 this vehicle vehicle body and speed is less than this vehicle speed;Or vehicle right side rear or left sideRear obstacle speed is greater than this vehicle speed, and is greater than 2 this vehicle vehicle bodies at a distance from this vehicle rear end;Set distance is 1 vehicleRoad width.
Above-mentioned Rule of judgment can also optimize configuration according to experimental data:
For example, simulation mankind's driving habit, when vehicle front barrier speed be less than this vehicle speed 1/2, and with it is precedingThe distance of square barrier is more than two vehicle bodies;If lane-change to the right, width of the front obstacle apart from another barrier in right sideDegree is greater than 1 lane width, and its speed is greater than this vehicle speed, and similarly, if wanting Zuo Huandao, front obstacle distance is leftThe width of another barrier in side is also greater than a lane width, and its speed is greater than this vehicle speed;
It is to be not allow for any barrier within the scope of one lane width in right side meanwhile when vehicle determines lane-change to the rightInformation;It is the information for being not allow for any barrier within the scope of one lane width in left side when vehicle determines lane-change to the left;
Furthermore the same with mankind's driving vehicle, the mankind are after generating lane-changing intention, after also being looked over by rearview mirrorSquare barrier situation, judges whether lane-change, it is also necessary to meet distance of the rear obstacle apart from this vehicle rear end will 2 vehicle bodies withOn or distance of the rear obstacle apart from this vehicle rear end will be more than 1 vehicle body, and the speed of rear obstacle is less thanThis vehicle speed.
If 3, meeting above-mentioned condition, according to setting avoidance path clustering vehicle lane-changing.
When meeting lane-change condition, i.e., controllable vehicle carries out lane-change, and intelligent automobile needs to be carried out according to the path of settingLane-change, it is therefore desirable to which the path of vehicle obstacle-avoidance lane-change is planned.
When vehicle carries out lane-change, the starting point coordinate, coordinate of ground point and road course angle of lane-change are determined;According to startingPoint coordinate, coordinate of ground point and road course angle carry out curve fitting, and obtain the path from starting point coordinate to coordinate of ground point,The path is lane-change path.
Wherein, starting point coordinate is that the geodetic coordinates of current vehicle position or the earth after vehicle heading 0.2m are satMark;Coordinate of ground point be front obstacle endpoint to lane-change direction deviate half body width of this vehicle and set safe lateral distance itKnown with the information of the geodetic coordinates at place, front obstacle endpoint by laser radar;Road course angle is to be obtained by high definition map.
The essence of path planning is to calculate the curve of connection an initial position and final position, the requirement of path computingWith it is critical that curve wants continuous and derivable and curvature bounded.There are many curve is available at present: polynomial curve, shellfishSai Er curve and B-spline curves etc., wherein B-spline is relatively easy for the control and calculating of curvature, the method is as follows:
Pass through n+1 control pointAnd n+k+1 Parameter nodes vectorDetermine k rank,That is k-1 B-spline curves, expression formula are as follows:
Wherein Bi,k(u) it is known as Un,kUpper k rank B-spline basic function, the basic function are determined by deBoox-Cox recurrence relation, are closedIt is that formula is as follows:
And the property of B-spline curves according to the present invention has:
1) continuity: in r multiple knot uiC is at least at (k-1≤i≤n)k-1-r, the continuity of whole curve is not less thank-1-rmax, wherein rmaxIndicate node uiThe maximum value of tuple.
2) locality: Bi,k(u) only in section [ui,ui+1) on take positive value, be 0 on other sections, therefore B-spline curvesIn parameter section [ui,ui+1) part line segment on (k-1≤i≤n) only andTotal k control vertex is related.
3) convex closure: B-spline curves are in parameter section [ui,ui+1) part on (k-1≤i≤n) is located at this k controlIn the convex closure on vertex, as shown in Figure 3.
According to the constraint of auto model, curve continuity and maximum curvature bounded are the requirements that path curve must satisfy.Other types curve is compared, the Boundary Condition for Solving of polynomial curve generally requires to find out analytic solutions using numerical method, solvesProcess is cumbersome;The control points and order of a curve number of Bezier correspond, if required path is longer, are not increasing songIn the case where line order, the control ability of dominating pair of vertices curve shape weakens;B-spline curves are general Beziers,It controls points and curve order does not have positive connection, and boundary condition and curvature limitation can be suitable by selectingControl point meets, and does not need to solve complicated numerical value and calculates, since cubic B-spline is sufficient for C2Continuity, to meetThe requirement of vehicle movement, therefore select B-spline Curve as path curve.The maximum bounded curvature estimation of B-spline is as follows:
As shown in figure 4, the shape of B-spline curves is determined by control point completely, one section three determined for three control pointsSecondary B-spline curves increase the midpoint of two line segments as new control point, and B-spline shape depends on lesser in two line segmentsThe angle α of line segment length L and two line segments, wherein it is assumed that two lines segment length is equal, be so that length is lesser when reality calculatesStandard is certain when wherein a line segment length increases if the line segment calculating with smaller length can satisfy curvature requirementAlso meet curvature requirement, obtain the Curvature varying of B-spline curves are as follows:
It enablesIt can be in the hope of as u=0.5, κ has maximum value;Curvature maximum substitutes into above formula, to obtain L and αRelationship between the two:
Wherein, any two adjacent control wires section meets above-mentioned relation, that is, can guarantee the curvature of B-spline curves.
The path that B-spline curves are cooked up is global path, as shown in figure 5, including avoidance path 2 and the setting of settingReturn path 4, wherein when vehicle obstacle-avoidance lane-change, travelled from avoidance origin coordinates point 1 to avoidance according to the avoidance path 2 of settingCoordinates of targets point 3;When vehicle returns, travelled from avoidance coordinates of targets point 3 to final position coordinate according to the return path 4 of settingPoint 6.
4, judge whether to meet return condition.
If satisfied, then being returned according to setting return path control vehicle;If not satisfied, then controlling vehicle straight trip.
It is specific as follows wherein to return to condition: 1, clear within the scope of vehicle returning direction side setting safe distance;2,The rear clear of vehicle returning direction side, or there are barrier but apart from this tailstock portion be greater than set it is safe when away from;3, the front clear of vehicle returning direction side, or there is barrier but speed to be greater than this vehicle speed.
In conclusion a kind of control method of vehicle obstacle-avoidance lane-change provided by the invention, as shown in figure 5, intelligent vehicle changesRoad is intended to after generating, and path planning, including avoidance origin coordinates point 1, avoidance coordinates of targets point 3 will be carried out according to B-spline curvesWith final position coordinate points 6 and road course angle;Vehicle reach avoidance origin coordinates point when start along setting avoidance path 2 intoRow form, vehicle reach avoidance coordinates of targets point 3 when, judged whether to meet return condition according to the instruction of decision-making module, ifMeet return condition, then controls setting return path 4 that vehicle is obtained according to B-spline curves from avoidance coordinates of targets 3 to end of pointStop bit is set coordinate points 6 and is returned, if being unsatisfactory for return condition, controls vehicle and keeps straight on from avoidance coordinates of targets point 3 along avoidancePath 5 is travelled.
Specific embodiment of the present invention is presented above, but the present invention is not limited to described embodiment.Under the thinking that the present invention provides, to the skill in above-described embodiment by the way of being readily apparent that those skilled in the artArt means are converted, are replaced, are modified, and play the role of with the present invention in relevant art means it is essentially identical, realizeGoal of the invention it is also essentially identical, the technical solution formed in this way is to be finely adjusted to be formed to above-described embodiment, this technologyScheme is still fallen in protection scope of the present invention.

Claims (10)

CN201711460191.XA2017-12-282017-12-28Method for determining vehicle obstacle avoidance and lane change time and method for controlling obstacle avoidance and lane changeActiveCN109987092B (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN201711460191.XACN109987092B (en)2017-12-282017-12-28Method for determining vehicle obstacle avoidance and lane change time and method for controlling obstacle avoidance and lane change

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN201711460191.XACN109987092B (en)2017-12-282017-12-28Method for determining vehicle obstacle avoidance and lane change time and method for controlling obstacle avoidance and lane change

Publications (2)

Publication NumberPublication Date
CN109987092Atrue CN109987092A (en)2019-07-09
CN109987092B CN109987092B (en)2020-10-30

Family

ID=67108272

Family Applications (1)

Application NumberTitlePriority DateFiling Date
CN201711460191.XAActiveCN109987092B (en)2017-12-282017-12-28Method for determining vehicle obstacle avoidance and lane change time and method for controlling obstacle avoidance and lane change

Country Status (1)

CountryLink
CN (1)CN109987092B (en)

Cited By (26)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN110389589A (en)*2019-07-262019-10-29阿尔法巴人工智能(深圳)有限公司Intelligent driving vehicle obstacle-avoidance system and method
CN110614999A (en)*2019-09-252019-12-27浙江吉利汽车研究院有限公司Automatic lane-changing overtaking control method and system for vehicle
CN111256719A (en)*2020-02-182020-06-09北京九曜智能科技有限公司Obstacle detouring method and device
CN111653113A (en)*2020-04-202020-09-11浙江吉利汽车研究院有限公司 Method, device, terminal and storage medium for determining local path of vehicle
CN111897328A (en)*2020-07-172020-11-06武汉理工大学 A path planning method, device and equipment based on improved artificial potential field method
CN112477864A (en)*2020-11-102021-03-12合肥工业大学Novel control method and system for safe lane change of automatic driving vehicle
CN112498370A (en)*2021-02-082021-03-16中智行科技有限公司Vehicle control method and device and electronic equipment
CN112572424A (en)*2019-09-112021-03-30北京百度网讯科技有限公司Vehicle control method, device, equipment and medium based on obstacle recognition
CN112896152A (en)*2019-12-022021-06-04上海汽车集团股份有限公司Obstacle avoidance method and device for unmanned vehicle
CN113138598A (en)*2021-03-312021-07-20深圳市优必选科技股份有限公司Control method of intelligent trolley and intelligent trolley
CN113916246A (en)*2021-09-262022-01-11江苏徐工工程机械研究院有限公司 A method and system for unmanned obstacle avoidance path planning
CN114120685A (en)*2020-08-272022-03-01郑州宇通客车股份有限公司Channel changing control method and device
CN114115209A (en)*2020-08-112022-03-01郑州宇通客车股份有限公司Vehicle, and vehicle obstacle avoidance method and device
CN114379576A (en)*2021-12-152022-04-22禾多科技(北京)有限公司Lane change information prompting method and device, electronic equipment and computer readable medium
CN114655206A (en)*2022-04-292022-06-24重庆长安汽车股份有限公司Following target decision method, vehicle and storage medium
CN114834483A (en)*2022-05-052022-08-02北京主线科技有限公司Path planning method, device, equipment and storage medium
CN114932906A (en)*2022-06-152022-08-23地平线(上海)人工智能技术有限公司 Vehicle lane change control method, device, electronic device and medium
CN115158308A (en)*2021-04-022022-10-11清华大学Intelligent vehicle active obstacle avoidance control method and device, storage medium and terminal
CN115179970A (en)*2022-09-142022-10-14毫末智行科技有限公司Path planning method and device, electronic equipment and storage medium
CN115489548A (en)*2022-09-202022-12-20重庆大学Intelligent automobile park road path planning method
CN115657684A (en)*2022-12-082023-01-31禾多科技(北京)有限公司 Method, device, device, and computer-readable medium for generating vehicle route information
CN116048087A (en)*2023-02-102023-05-02吉咖智能机器人有限公司Local path planning method and device, electronic equipment and readable storage medium
CN116061940A (en)*2023-03-012023-05-05重庆长安汽车股份有限公司 Method, device, vehicle and storage medium for determining lane change control point
CN116476840A (en)*2023-06-212023-07-25北京斯年智驾科技有限公司 Lane changing driving method, device, equipment and storage medium
CN117270548A (en)*2023-11-232023-12-22安徽领云物联科技有限公司Intelligent inspection robot with route correction function
CN119078808A (en)*2024-10-142024-12-06镁佳(北京)科技有限公司 Method, device, electronic device and readable storage medium for escaping from a narrow scene

Citations (7)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN103386975A (en)*2013-08-022013-11-13重庆市科学技术研究院Vehicle obstacle avoidance method and system based on machine vision
JP2015066956A (en)*2013-09-262015-04-13株式会社デンソーVehicle control system and image sensor
CN106427998A (en)*2016-09-302017-02-22江苏大学Control method for avoiding collision during emergent lane changing of vehicle in high-speed state
CN106527452A (en)*2016-12-302017-03-22广州汽车集团股份有限公司Motion path planning method of pilotless automobile when encountering obstacle and system thereof
CN106681319A (en)*2016-12-092017-05-17重庆长安汽车股份有限公司Automatic lane-changing system and method
CN107215339A (en)*2017-06-262017-09-29地壳机器人科技有限公司The lane-change control method and device of automatic driving vehicle
CN107264531A (en)*2017-06-082017-10-20中南大学The autonomous lane-change of intelligent vehicle is overtaken other vehicles motion planning method in a kind of semi-structure environment

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN103386975A (en)*2013-08-022013-11-13重庆市科学技术研究院Vehicle obstacle avoidance method and system based on machine vision
JP2015066956A (en)*2013-09-262015-04-13株式会社デンソーVehicle control system and image sensor
CN106427998A (en)*2016-09-302017-02-22江苏大学Control method for avoiding collision during emergent lane changing of vehicle in high-speed state
CN106681319A (en)*2016-12-092017-05-17重庆长安汽车股份有限公司Automatic lane-changing system and method
CN106527452A (en)*2016-12-302017-03-22广州汽车集团股份有限公司Motion path planning method of pilotless automobile when encountering obstacle and system thereof
CN107264531A (en)*2017-06-082017-10-20中南大学The autonomous lane-change of intelligent vehicle is overtaken other vehicles motion planning method in a kind of semi-structure environment
CN107215339A (en)*2017-06-262017-09-29地壳机器人科技有限公司The lane-change control method and device of automatic driving vehicle

Cited By (37)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN110389589A (en)*2019-07-262019-10-29阿尔法巴人工智能(深圳)有限公司Intelligent driving vehicle obstacle-avoidance system and method
CN112572424A (en)*2019-09-112021-03-30北京百度网讯科技有限公司Vehicle control method, device, equipment and medium based on obstacle recognition
CN110614999A (en)*2019-09-252019-12-27浙江吉利汽车研究院有限公司Automatic lane-changing overtaking control method and system for vehicle
CN112896152A (en)*2019-12-022021-06-04上海汽车集团股份有限公司Obstacle avoidance method and device for unmanned vehicle
CN111256719A (en)*2020-02-182020-06-09北京九曜智能科技有限公司Obstacle detouring method and device
CN111653113A (en)*2020-04-202020-09-11浙江吉利汽车研究院有限公司 Method, device, terminal and storage medium for determining local path of vehicle
CN111897328A (en)*2020-07-172020-11-06武汉理工大学 A path planning method, device and equipment based on improved artificial potential field method
CN114115209B (en)*2020-08-112023-08-18宇通客车股份有限公司Vehicle, obstacle avoidance method and device for vehicle
CN114115209A (en)*2020-08-112022-03-01郑州宇通客车股份有限公司Vehicle, and vehicle obstacle avoidance method and device
CN114120685B (en)*2020-08-272023-04-07宇通客车股份有限公司Channel changing control method and device
CN114120685A (en)*2020-08-272022-03-01郑州宇通客车股份有限公司Channel changing control method and device
CN112477864A (en)*2020-11-102021-03-12合肥工业大学Novel control method and system for safe lane change of automatic driving vehicle
CN112498370A (en)*2021-02-082021-03-16中智行科技有限公司Vehicle control method and device and electronic equipment
CN113138598A (en)*2021-03-312021-07-20深圳市优必选科技股份有限公司Control method of intelligent trolley and intelligent trolley
CN115158308A (en)*2021-04-022022-10-11清华大学Intelligent vehicle active obstacle avoidance control method and device, storage medium and terminal
CN113916246A (en)*2021-09-262022-01-11江苏徐工工程机械研究院有限公司 A method and system for unmanned obstacle avoidance path planning
CN113916246B (en)*2021-09-262023-09-01江苏徐工工程机械研究院有限公司Unmanned obstacle avoidance path planning method and system
CN114379576A (en)*2021-12-152022-04-22禾多科技(北京)有限公司Lane change information prompting method and device, electronic equipment and computer readable medium
CN114379576B (en)*2021-12-152022-11-11禾多科技(北京)有限公司 Lane change information prompting method, apparatus, electronic device and computer readable medium
CN114655206A (en)*2022-04-292022-06-24重庆长安汽车股份有限公司Following target decision method, vehicle and storage medium
CN114834483B (en)*2022-05-052025-04-29北京主线科技有限公司 A path planning method, device, equipment and storage medium
CN114834483A (en)*2022-05-052022-08-02北京主线科技有限公司Path planning method, device, equipment and storage medium
CN114932906A (en)*2022-06-152022-08-23地平线(上海)人工智能技术有限公司 Vehicle lane change control method, device, electronic device and medium
CN115179970A (en)*2022-09-142022-10-14毫末智行科技有限公司Path planning method and device, electronic equipment and storage medium
CN115179970B (en)*2022-09-142022-11-29毫末智行科技有限公司Path planning method and device, electronic equipment and storage medium
CN115489548A (en)*2022-09-202022-12-20重庆大学Intelligent automobile park road path planning method
CN115489548B (en)*2022-09-202024-06-04重庆大学 Intelligent car park road path planning method
CN115657684A (en)*2022-12-082023-01-31禾多科技(北京)有限公司 Method, device, device, and computer-readable medium for generating vehicle route information
CN116048087A (en)*2023-02-102023-05-02吉咖智能机器人有限公司Local path planning method and device, electronic equipment and readable storage medium
CN116048087B (en)*2023-02-102024-04-09吉咖智能机器人有限公司Local path planning method and device, electronic equipment and readable storage medium
CN116061940A (en)*2023-03-012023-05-05重庆长安汽车股份有限公司 Method, device, vehicle and storage medium for determining lane change control point
CN116061940B (en)*2023-03-012025-06-13重庆长安汽车股份有限公司 Method, device, vehicle and storage medium for determining lane change control point
CN116476840B (en)*2023-06-212023-09-01北京斯年智驾科技有限公司 Lane changing driving method, device, equipment and storage medium
CN116476840A (en)*2023-06-212023-07-25北京斯年智驾科技有限公司 Lane changing driving method, device, equipment and storage medium
CN117270548A (en)*2023-11-232023-12-22安徽领云物联科技有限公司Intelligent inspection robot with route correction function
CN117270548B (en)*2023-11-232024-02-09安徽领云物联科技有限公司Intelligent inspection robot with route correction function
CN119078808A (en)*2024-10-142024-12-06镁佳(北京)科技有限公司 Method, device, electronic device and readable storage medium for escaping from a narrow scene

Also Published As

Publication numberPublication date
CN109987092B (en)2020-10-30

Similar Documents

PublicationPublication DateTitle
CN109987092A (en)A kind of determination method on vehicle obstacle-avoidance lane-change opportunity and the control method of avoidance lane-change
CN109976329A (en)A kind of planing method in vehicle obstacle-avoidance lane-change path
CN107264531B (en) A motion planning method for intelligent vehicles to automatically change lanes and overtake in semi-structured environments
CN113359757B (en) A method for path planning and trajectory tracking of unmanned vehicles
US11390300B2 (en)Method for using lateral motion to optimize trajectories for autonomous vehicles
CN109501799B (en)Dynamic path planning method under condition of Internet of vehicles
US11052914B2 (en)Automated driving systems and control logic using maneuver criticality for vehicle routing and mode adaptation
US11680821B2 (en)Map information system
US11427191B2 (en)Obstacle avoidance action
US10074279B1 (en)Inference-aware motion planning
CN108519773B (en)Path planning method for unmanned vehicle in structured environment
CN107702716B (en)Unmanned driving path planning method, system and device
CN107992050B (en) Method and device for local path motion planning of unmanned vehicle
US20210133466A1 (en)State machine for obstacle avoidance
Göhring et al.Radar/lidar sensor fusion for car-following on highways
CN105292116B (en)The lane changing path planning algorithm of automatic driving vehicle
CN112068545A (en)Method and system for planning driving track of unmanned vehicle at crossroad and storage medium
GB2570887A (en)A system for a vehicle
CN108958242B (en)Lane change decision-making auxiliary method and system based on high-precision map
Kim et al.Design of integrated risk management-based dynamic driving control of automated vehicles
CN113085852A (en)Behavior early warning method and device for automatic driving vehicle and cloud equipment
CN110517480A (en) Driving right switching and collision warning system for human-machine co-driving intelligent networked vehicles
CN105631217A (en)Vehicle self-adaptive virtual lane based front effective target selection system and method
WO2023097874A1 (en)Method and device for planning driving track
EP4052174A1 (en)Obstacle avoidance action

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
CP03Change of name, title or address
CP03Change of name, title or address

Address after:450061 Yudao Road, Guancheng District, Zhengzhou City, Henan Province

Patentee after:Yutong Bus Co., Ltd

Address before:450016 Yutong Industrial Zone, eighteen Li River, Henan, Zhengzhou

Patentee before:Zhengzhou Yutong Bus Co., Ltd


[8]ページ先頭

©2009-2025 Movatter.jp