[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Reda et al., 2024 - Google Patents

Path planning algorithms in the autonomous driving system: A comprehensive review

Reda et al., 2024

View HTML
Document ID
9892795148384968255
Author
Reda M
Onsy A
Haikal A
Ghanbari A
Publication year
Publication venue
Robotics and Autonomous Systems

External Links

Snippet

This comprehensive review focuses on the Autonomous Driving System (ADS), which aims to reduce human errors that are the reason for about 95% of car accidents. The ADS consists of six stages: sensors, perception, localization, assessment, path planning, and …
Continue reading at www.sciencedirect.com (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0291—Fleet control
    • G05D1/0295—Fleet control by at least one leading vehicle of the fleet
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • G05D1/0278—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using satellite positioning signals, e.g. GPS
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means unsing a video camera in combination with image processing means
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • 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
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps

Similar Documents

Publication Publication Date Title
Reda et al. Path planning algorithms in the autonomous driving system: A comprehensive review
Badue et al. Self-driving cars: A survey
JP7532615B2 (en) Planning for autonomous vehicles
Elallid et al. A comprehensive survey on the application of deep and reinforcement learning approaches in autonomous driving
Sharma et al. Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
US20220274625A1 (en) Graph neural networks with vectorized object representations in autonomous vehicle systems
US11353877B2 (en) Blocked region guidance
CN117794803A (en) Vehicle trajectory control using tree search and/or proxy filtering with responsive proxy prediction
CN114846425A (en) Prediction and planning of mobile robots
Eraqi et al. Dynamic conditional imitation learning for autonomous driving
Qin et al. Deep imitation learning for autonomous navigation in dynamic pedestrian environments
Wang et al. Deep understanding of big geospatial data for self-driving: Data, technologies, and systems
Singh End-to-end autonomous driving using deep learning: A systematic review
Wang et al. Vision-based autonomous driving: A hierarchical reinforcement learning approach
Thakur et al. An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles
Richardos et al. Vehicle maneuver-based long-term trajectory prediction at intersection crossings
US20240174256A1 (en) Vehicle trajectory tree search for off-route driving maneuvers
US20240208546A1 (en) Predictive models for autonomous vehicles based on object interactions
US20240092398A1 (en) Trajectory prediction based on a decision tree
EP4124995A1 (en) Training method for training an agent for controlling a controlled device, control method for controlling the controlled device, computer program(s), computer readable medium, training system and control system
Ventura Safe and flexible hybrid control architecture for the navigation in formation of a group of vehicles
WO2023135271A1 (en) Motion prediction and trajectory generation for mobile agents
Delp et al. Classifying and passing 3d obstacles for autonomous driving
Chen et al. Hierarchical trajectory planning for autonomous driving in low-speed driving scenarios based on RRT and optimization
Moradi A non-linear mpc local planner for tractor-trailer vehicles in forward and backward maneuvering