Recent Advances in Motion Planning and Control of Autonomous Vehicles

• Muut tekijät: Li, Bai (Toimittaja), Zhang, Youmin (Toimittaja), Li, Xiaohui (Toimittaja), Acarman, Tankut (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Aiheet: Technology: general issues; History of engineering & technology; Transport technology & trades; 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
• Linkit: DOAB: download the publication; DOAB: description of the publication

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...