Laugier et al., 2011 - Google Patents

Probabilistic analysis of dynamic scenes and collision risks assessment to improve driving safety

Laugier et al., 2011

View PDF
Document ID
8193072240574136765
Author
Laugier C
Paromtchik I
Perrollaz M
Yong M
Yoder J
Tay C
Mekhnacha K
Nègre A
Publication year
Publication venue
IEEE Intelligent Transportation Systems Magazine

External Links

Snippet

The article deals with the analysis and interpretation of dynamic scenes typical of urban driving. The key objective is to assess risks of collision for the ego-vehicle. We describe our concept and methods, which we have integrated and tested on our experimental platform on …
Continue reading at inria.hal.science (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00805Detecting potential obstacles
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • G08G1/167Driving aids for lane monitoring, lane changing, e.g. blind spot detection
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/66Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant
    • G01S13/72Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
    • G01S13/723Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar by using numerical data
    • G01S13/726Multiple target tracking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00362Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis

Similar Documents

Publication Publication Date Title
Laugier et al. Probabilistic analysis of dynamic scenes and collision risks assessment to improve driving safety
Bachute et al. Autonomous driving architectures: insights of machine learning and deep learning algorithms
US11885910B2 (en) Hybrid-view LIDAR-based object detection
US10310087B2 (en) Range-view LIDAR-based object detection
US12032067B2 (en) System and method for identifying travel way features for autonomous vehicle motion control
US20180349746A1 (en) Top-View Lidar-Based Object Detection
Ghorai et al. State estimation and motion prediction of vehicles and vulnerable road users for cooperative autonomous driving: A survey
Khatab et al. Vulnerable objects detection for autonomous driving: A review
CN111771207B (en) Enhanced vehicle tracking
Ess et al. Moving obstacle detection in highly dynamic scenes
Nguyen et al. Stereo-camera-based urban environment perception using occupancy grid and object tracking
AlZu'bi et al. Data fusion in autonomous vehicles research, literature tracing from imaginary idea to smart surrounding community
Hafeez et al. Insights and strategies for an autonomous vehicle with a sensor fusion innovation: A fictional outlook
Vu Vehicle perception: Localization, mapping with detection, classification and tracking of moving objects
Pietzsch et al. Results of a precrash application based on laser scanner and short-range radars
Chavez-Garcia Multiple sensor fusion for detection, classification and tracking of moving objects in driving environments
Baig et al. A robust motion detection technique for dynamic environment monitoring: A framework for grid-based monitoring of the dynamic environment
Agafonov et al. 3D objects detection in an autonomous car driving problem
Lu et al. Improved situation awareness for autonomous taxiing through self-learning
Harun et al. Sensor fusion technology for unmanned autonomous vehicles (UAV): A review of methods and applications
De Borba et al. Increasing Safety of Automated Driving by Infrastructure-Based Sensors
US12007728B1 (en) Systems and methods for sensor data processing and object detection and motion prediction for robotic platforms
Siddiqui et al. Object/Obstacles detection system for self-driving cars
Rawat Environment Perception for Autonomous Driving: A 1/10 Scale Implementation Of Low Level Sensor Fusion Using Occupancy Grid Mapping
Paromtchik et al. Fusion of telemetric and visual data from road scenes with a lexus experimental platform