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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| Format: | Online |
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| Idioma: | anglès |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Accés en línia: | ONIX_20240108_9783036597669_91 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-132432 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1324322024-04-11T15:11:08Z Recent Advances in Motion Planning and Control of Autonomous Vehicles Li, Bai Zhang, Youmin Li, Xiaohui Acarman, Tankut 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 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. 2024-01-08T14:51:13Z 2024-01-08T14:51:13Z 2023 book ONIX_20240108_9783036597669_91 9783036597669 9783036597676 https://directory.doabooks.org/handle/20.500.12854/132432 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8469 https://mdpi.com/books/pdfview/book/8469 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9767-6 10.3390/books978-3-0365-9767-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036597669 9783036597676 224 Basel open access |
| spellingShingle | 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 Recent Advances in Motion Planning and Control of Autonomous Vehicles |
| title | Recent Advances in Motion Planning and Control of Autonomous Vehicles |
| title_full | Recent Advances in Motion Planning and Control of Autonomous Vehicles |
| title_fullStr | Recent Advances in Motion Planning and Control of Autonomous Vehicles |
| title_full_unstemmed | Recent Advances in Motion Planning and Control of Autonomous Vehicles |
| title_short | Recent Advances in Motion Planning and Control of Autonomous Vehicles |
| title_sort | recent advances in motion planning and control of autonomous vehicles |
| topic | 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 |
| topic_facet | 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 |
| url | ONIX_20240108_9783036597669_91 |