Trajectory planning for autonomous vehicles using hierarchical reinforcement learning

KB Naveed, Z Qiao, JM Dolan - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
autonomous vehicles using a changepoint-based method. They sample policies of the target
cars … for predicting off-road vehicle trajectories by integrating kinematics and environment to …

Semantic-level maneuver sampling and trajectory planning for on-road autonomous driving in dynamic scenarios

H Li, G Yu, B Zhou, P Chen, Y Liao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… This study is focused on maneuver sampling and trajectory planning for the autonomous
, “Hierarchical trajectory planning of an autonomous car based on the integration of a sampling

Learning hierarchical behavior and motion planning for autonomous driving

J Wang, Y Wang, D Zhang, Y Yang… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
… by integrating a classical samplingbased motion planner, of … vehicle and the traffic situation,
and the control command ut at time t, we define the system model of the autonomous vehicle

A novel learning framework for sampling-based motion planning in autonomous driving

Y Zhang, J Zhang, J Zhang, J Wang, K Lu… - Proceedings of the AAAI …, 2020 - ojs.aaai.org
Hierarchical trajectory planning of an autonomous car based on the integration of a sampling
and an optimization … Efficient sampling-based motion planning for on-road autonomous

Sampling-based trajectory repairing for autonomous vehicles

Y Lin, S Maierhofer, M Althoff - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
… a hierarchical structure and our novel sampling-based algorithm … used in motion planning
problems of autonomous vehicles [1], [2]… CL-RRT algorithm without integrating the cut-off state. …

A unified framework integrating decision making and trajectory planning based on spatio-temporal voxels for highway autonomous driving

T Zhang, W Song, M Fu, Y Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… • Framework: We propose a hierarchical long-term and short-term integration framework … ,
Hierarchical trajectory planning of an autonomous car based on the integration of a sampling

Hierarchical reinforcement learning for autonomous decision making and motion planning of intelligent vehicles

Y Lu, X Xu, X Zhang, L Qian, X Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
… The algorithm of sampling process in motion planning is shown in … to handling integrated
decision and planning problems under … learning based motion planning for autonomous vehicle

Trajectory planning of autonomous vehicles based on parameterized control optimization in dynamic on-road environments

S Zhu, B Aksun-Guvenc - Journal of Intelligent & Robotic Systems, 2020 - Springer
… This paper presents a trajectory planning framework to deal with the highly dynamic …
Hierarchical trajectory planning of an autonomous Car based on the integration of a sampling and …

A comparison of trajectory planning and control frameworks for cooperative autonomous driving

IB Viana, H Kanchwala… - Journal of …, 2021 - asmedigitalcollection.asme.org
… [5] provide the autonomous vehicles with the capability to … the hierarchical schemes, an
integrated trajectory planning … approach runs at a high frequency with a sampling time of T = 0.01 …

Driving-behavior-oriented trajectory planning for autonomous vehicle driving on urban structural road

D Zeng, Z Yu, L Xiong, J Zhao… - Proceedings of the …, 2021 - journals.sagepub.com
… computes motion plan based on incremental sampling. … are four nolinear functions contain
integral of trig function. For … As shown in Figure 34, a robust hierarchical trajectory tracking …