Movatterモバイル変換

[0]ホーム
URL:

Held et al., 2013 - Google Patents

Precision tracking with sparse 3d and dense color 2d data

Held et al., 2013

ViewPDF
Document ID
5553105667259863297
Author
Held D
Levinson J
Thrun S
Publication year
Publication venue
2013 IEEE international conference on robotics and automation

External Links

Snippet

Precision tracking is important for predicting the behavior of other cars in autonomous driving. We present a novel method to combine laser and camera data to achieve accurate velocity estimates of moving vehicles. We combine sparse laser points with a high-resolution …
Continue reading atdavheld.github.io (PDF) (other versions)

Classifications

The classifications are assigned by a computer and are not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the classifications listed.
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00798—Recognition of lanes or road borders, e.g. of lane markings, or recognition of driver's driving pattern in relation to lanes perceived from the vehicle; Analysis of car trajectory relative to detected road
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received
    • G01S3/78—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received using electromagnetic waves other than radio waves
    • G01S3/782—Systems for determining direction or deviation from predetermined direction
    • G01S3/785—Systems for determining direction or deviation from predetermined direction using adjustment of orientation of directivity characteristics of a detector or detector system to give a desired condition of signal derived from that detector or detector system
    • G01S3/786—Systems for determining direction or deviation from predetermined direction using adjustment of orientation of directivity characteristics of a detector or detector system to give a desired condition of signal derived from that detector or detector system the desired condition being maintained automatically, i.e. tracking systems
    • G01S3/7864—T.V. type tracking systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems

Similar Documents

PublicationPublication DateTitle
Held et al.Precision tracking with sparse 3d and dense color 2d data
US11461912B2 (en)Gaussian mixture models for temporal depth fusion
EP3732657B1 (en)Vehicle localization
AU2019235504B2 (en)Enhanced vehicle tracking
EP2948927B1 (en)A method of detecting structural parts of a scene
Barth et al.Where will the oncoming vehicle be the next second?
Senlet et al.A framework for global vehicle localization using stereo images and satellite and road maps
Barth et al.Estimating the driving state of oncoming vehicles from a moving platform using stereo vision
US20200026283A1 (en)Autonomous route determination
Yao et al.Estimating drivable collision-free space from monocular video
Shim et al.An autonomous driving system for unknown environments using a unified map
Hu et al.A multi-modal system for road detection and segmentation
Erbs et al.Moving vehicle detection by optimal segmentation of the dynamic stixel world
Nedevschi et al.A sensor for urban driving assistance systems based on dense stereovision
US11430199B2 (en)Feature recognition assisted super-resolution method
Bu et al.Pedestrian planar LiDAR pose (PPLP) network for oriented pedestrian detection based on planar LiDAR and monocular images
Pauls et al.Monocular localization in hd maps by combining semantic segmentation and distance transform
Sahili et al.A survey of visual SLAM methods
Panev et al.Road curb detection and localization with monocular forward-view vehicle camera
Bansal et al.Understanding how camera configuration and environmental conditions affect appearance-based localization
Suleymanov et al.Online inference and detection of curbs in partially occluded scenes with sparse lidar
Konrad et al.Localization in digital maps for road course estimation using grid maps
Engel et al.Deep object tracking on dynamic occupancy grid maps using rnns
McManus et al.Distraction suppression for vision-based pose estimation at city scales
CN116597122A (en)Data labeling method, device, electronic equipment and storage medium
[8]ページ先頭
©2009-2025 Movatter.jp