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Recent Advances in Motion Planning and Control of Autonomous Vehicles
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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.
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Keywords
- adaptive model predictive control
- articulated tracked vehicle
- articulated vehicles
- artificial bee colony algorithm
- artificial neural network
- automated vehicle
- Autonomous driving
- autonomous forklift
- autonomous truck
- autonomous underwater vehicle
- Autonomous Vehicle
- Brain–Computer Interface (BCI)
- cooperative trajectory planning
- data-driven control
- deep reinforcement learning
- drift control
- Dynamic programming
- Electroencephalography (EEG)
- Eye-tracking
- GIS
- hierarchical framework
- History of engineering & technology
- Hybrid A* search algorithm
- Hybrid A-star
- improved A* algorithm
- infrared positioning
- Intrinsic motivation
- joint dispatching and planning
- kinematics
- n/a
- narrow corridor scene
- nonlinear model predictive control
- numerical optimal control
- obstacle avoidance
- occlusion-aware path planning
- open-pit mine
- path planning
- path tracking
- quadratic program
- RRT* algorithm
- Scheduling
- space discretization strategy
- spatial exploration
- Steady-State Visual Evoked Potential (SSVEP)
- Technology, engineering, agriculture
- Technology: general issues
- threatening pedestrians
- time delay neural network
- trajectory planning
- Trajectory Tracking
- Transport technology & trades
- tube model predictive control
- underground intelligent vehicles
- unmanned driving
Links
DOI: 10.3390/books978-3-0365-9767-6Editions