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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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Bibliographic Details
Main Author: Li, Bai
Other Authors: Zhang, Youmin, Li, Xiaohui, Acarman, Tankut
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Joint Dispatching And Planning
Hierarchical Framework
Hybrid A-star
Autonomous Driving
Scheduling
N/a
Automated Vehicle
Improved A* Algorithm
Nonlinear Model Predictive Control
Time Delay Neural Network
Data-driven Control
Brain–computer Interface (bci)
Rrt* Algorithm
Obstacle Avoidance
History Of Engineering & Technology / Bicssc
Numerical Optimal Control
Spatial Exploration
Adaptive Model Predictive Control
Articulated Tracked Vehicle
Transport Technology & Trades / Bicssc
Gis
Technology: General Issues / Bicssc
Path Tracking
Infrared Positioning
Dynamic Programming
Cooperative Trajectory Planning
Artificial Neural Network
Deep Reinforcement Learning
Autonomous Forklift
Kinematics
Articulated Vehicles
Occlusion-aware Path Planning
Intrinsic Motivation
Tube Model Predictive Control
Autonomous Truck
Path Planning
Eye-tracking
Narrow Corridor Scene
Space Discretization Strategy
Drift Control
Autonomous Underwater Vehicle
Autonomous Vehicle
Open-pit Mine
Quadratic Program
Threatening Pedestrians
Trajectory Planning
Artificial Bee Colony Algorithm
Unmanned Driving
Hybrid A* Search Algorithm
Trajectory Tracking
Electroencephalography (eeg)
Steady-state Visual Evoked Potential (ssvep)
Underground Intelligent Vehicles
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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 module is responsible for devising an open-loop trajectory, taking into account a variety of environmental restrictions, task-related demands, and vehicle-kinematics-related constraints, while the control module ensures adherence to this trajectory in a closed-loop manner. This adherence is vital in a range of conditions, including diverse weather scenarios, different driving situations, and in response to potential disturbances such as mechanical failures or cyber threats. In certain contexts, these modules are collectively referred to as 'control', with the planning component considered an open-loop controller. This Special Issue focuses on the latest research trends in planning and control methods for autonomous driving. It comprises 11 papers that cover a broad spectrum of applications, including occlusion-aware motion planning in warehouses, control strategies for articulated vehicles, cooperative trajectory planning for autonomous forklifts, and tracking control for underwater vehicles in the face of disturbances and uncertainties. These contributions collectively underscore the diverse and evolving nature of autonomous vehicle technology.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (224 p.)
ISBN:9783036597669
books978-3-0365-9767-6
9783036597676

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