Enable faster and smoother spatio-temporal trajectory planning for autonomous vehicles in constrained dynamic environment
Trajectory planning is of vital importance to decision-making for autonomous vehicles.
Currently, there are three popular classes of cost-based trajectory planning methods …
Currently, there are three popular classes of cost-based trajectory planning methods …
Decision-making and path planning for highway autonomous driving based on spatio-temporal lane-change gaps
Z Feng, W Song, M Fu, Y Yang… - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
Safe and efficient decision-making and path planning is a challenging problem for
autonomous driving in highway because of numerous dynamic vehicles around the ego …
autonomous driving in highway because of numerous dynamic vehicles around the ego …
Lane keeping algorithm for autonomous driving via safe reinforcement learning
Autonomous driving can possibly facilitate the load and change the methods for
transportation in our everyday life. Work is being done to create algorithms of decision …
transportation in our everyday life. Work is being done to create algorithms of decision …
[图书][B] Probabilistic motion planning for automated vehicles
M Naumann - 2021 - library.oapen.org
In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to
facilitate safe and convenient driving behavior. This work presents three motion planning …
facilitate safe and convenient driving behavior. This work presents three motion planning …
[图书][B] Motion Planning and Decision-Making for Autonomous Systems: From Quadrotors to Autonomous Vehicles
W Ding - 2021 - search.proquest.com
Autonomous systems have been widely deployed in various field applications, such as
inspection, exploration, and aerial videography using micro aerial vehicles (MAVs), and …
inspection, exploration, and aerial videography using micro aerial vehicles (MAVs), and …