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Recent Advances in Motion Planning and Control of Autonomous Vehicles

Autonomous vehicles are increasingly prevalent, navigating both structured urban roads and challenging offroad scenes. At the core of these vehicles lie the planning and control modules, which are crucial for demonstrating the intelligence inherent in an autonomous driving system. The planning modul...

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Формат: Online
Язык:английский
Опубликовано: MDPI - Multidisciplinary Digital Publishing Institute 2024
Предметы:
autonomous vehicle
infrared positioning
occlusion-aware path planning
numerical optimal control
dynamic programming
quadratic program
underground intelligent vehicles
path planning
RRT* algorithm
articulated vehicles
unmanned driving
spatial exploration
hierarchical framework
deep reinforcement learning
intrinsic motivation
obstacle avoidance
data-driven control
time delay neural network
drift control
autonomous driving
nonlinear model predictive control
brain–computer interface (BCI)
steady-state visual evoked potential (SSVEP)
electroencephalography (EEG)
threatening pedestrians
eye-tracking
automated vehicle
trajectory planning
narrow corridor scene
space discretization strategy
articulated tracked vehicle
adaptive model predictive control
Hybrid A-star
trajectory tracking
kinematics
improved A* algorithm
GIS
open-pit mine
autonomous truck
scheduling
artificial bee colony algorithm
autonomous forklift
cooperative trajectory planning
joint dispatching and planning
Hybrid A* search algorithm
artificial neural network
autonomous underwater vehicle
tube model predictive control
path tracking
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
Online-ссылка:ONIX_20240108_9783036597669_91
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ONIX_20240108_9783036597669_91

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