A human-like trajectory planning method by learning from naturalistic driving data

X He, D Xu, H Zhao, M Moze, F Aioun… - 2018 IEEE intelligent …, 2018 - ieeexplore.ieee.org
trajectory planning plays significant role in motion planning. This research addresses on the
trajectory planning … profile for the autonomous vehicle to travel, while planning global path …

Cooperative path and trajectory planning for autonomous vehicles on roads without lanes: A laboratory experimental demonstration

R Levy, J Haddad - Transportation research part C: emerging technologies, 2022 - Elsevier
… Several inputs and state constraints are imposed on the path and trajectory planning
problem to ensure real application. The road geometry layout is assumed to be known with a …

Developing a deep Q-learning and neural network framework for trajectory planning

VSR Kosuru, AK Venkitaraman - European Journal of Engineering and …, 2022 - ej-eng.org
… RL applications for autonomous driving came from this. In this paper, we present a deep
Q-learning and neural network-based trajectory planning technique for autonomous cars. The …

A hierarchical autonomous driver for a racing car: Real-time planning and tracking of the trajectory

M Montani, L Ronchi, R Capitani, C Annicchiarico - Energies, 2021 - mdpi.com
… The aim of this study was to develop trajectory planning that would allow an autonomous
racing car to be driven as close as possible to what a driver would do, defining the most …

Trajectory planning with time-variant safety margin for autonomous vehicle lane change

X Wu, B Qiao, C Su - Applied Sciences, 2020 - mdpi.com
… In this paper, a trajectory planning method for autonomous … on the trajectory planning
and motion control of autonomous … cooperative planning algorithms for autonomous driving …

Enhancing mixed traffic flow safety via connected and autonomous vehicle trajectory planning with a reinforcement learning approach

Y Cheng, C Chen, X Hu, K Chen… - Journal of Advanced …, 2021 - Wiley Online Library
trajectory planning algorithms to the safety of traffic flow, and subsequently, how should we
design CAV longitudinal trajectory planning … , the objective of trajectory planning is usually to …

Trajectory Planning of Automated Vehicles Using Real-Time Map Updates

M Szántó, C Hidalgo, L González, JP Rastelli… - IEEE …, 2023 - ieeexplore.ieee.org
… Jo, “Hierarchical trajectory planning of an autonomous car based on the integration of a
sampling and an optimization method,” IEEE Transactions on Intelligent Transportation Systems, …

Trajectory planning in a dynamic workspace: a'state-time space'approach

T Fraichard - Advanced Robotics, 1998 - Taylor & Francis
… Yet, when planning the motion of an actual robot, it is important to take into account the … this
paper addresses trajectory planning in dynamic workspaces, ie trajectory planning for a robot …

Motion planning for autonomous vehicles in highly constrained urban environments

D Fassbender, BC Heinrich… - 2016 IEEE/RSJ …, 2016 - ieeexplore.ieee.org
… Abstract—In this paper, we present a motion planning algorithm for autonomoustrajectory
planning turned out to be unsuitable for this task, we instead extended an A*-based planner

Trajectory planning for an autonomous vehicle with conflicting moving objects along a fixed path–an exact solution method

X Shi, X Li - Transportation research part B: methodological, 2023 - Elsevier
… AV trajectory planning problem where the AV follows a given spatial path, and the trajectories
… With the spatial path fixed, the two-dimensional trajectory planning problem is reduced to a …