Behavior planning at urban intersections through hierarchical reinforcement learning

Z Qiao, J Schneider, JM Dolan - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
… Sastry, SA Seshia, and AD Dragan, “Planning for autonomous cars that leverage effects
on human actions.” in Robotics: Science and Systems, vol. 2. Ann Arbor, MI, USA, 2016. …

Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles

C Hubmann, M Becker, D Althoff… - 2017 IEEE intelligent …, 2017 - ieeexplore.ieee.org
planning based approach for the behavioral layer is presented by Hubmann et al. [13].
Although interactions between the autonomous car … and fast re-planning behavior. Nonetheless, …

Planning-oriented autonomous driving

Y Hu, J Yang, L Chen, K Li, C Sima… - Proceedings of the …, 2023 - openaccess.thecvf.com
… and planning in the field of autonomous driving. The contributions are summarized as
follows. (a) we embrace a new outlook of autonomous driving framework following a planning-…

Reinforcement Learning for Behavior Planning of Autonomous Vehicles in Urban Scenarios

Z Qiao - 2021 - search.proquest.com
… In this thesis, we present a series of behavior planning structures and algorithms that are
based on the advantages coming from both reinforcement learning and heuristic-based rules-…

A driving behavior planning and trajectory generation method for autonomous electric bus

L Yu, D Kong, X Yan - Future Internet, 2018 - mdpi.com
autonomous electric bus successfully. For global planning, we apply ArcGIS to model a road
network and plan a … This paper presents a framework of path planning for autonomous bus. …

Improved occlusion scenario coverage with a POMDP-based behavior planner for autonomous urban driving

C Zhang, F Steinhauser, G Hinz… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
… However, existing online behavior planning algorithms do not perform well in urban
traffic scenarios where pedestrians are present, such as serving bus stops or approaching …

Planning for autonomous driving via interaction-aware probabilistic action policies

S Arbabi, D Tavernini, S Fallah, R Bowden - IEEE access, 2022 - ieeexplore.ieee.org
… Sastry, SA Seshia, and AD Dragan, “Planning for autonomous cars that leverage effects
on human actions.” in Robotics: Science and Systems, vol. 2. Ann Arbor, MI, USA, 2016. …

Understanding autonomous vehicles

A Faisal, M Kamruzzaman, T Yigitcanlar… - Journal of transport and …, 2019 - JSTOR
… , planning, and policy issues associated with autonomous vehicles. … or autonomous car
sharing program paves the way to be a cheaper travel option and may discourage traditional car

Recent advances in reinforcement learning-based autonomous driving behavior planning: A survey

J Wu, C Huang, H Huang, C Lv, Y Wang… - … Research Part C …, 2024 - Elsevier
Autonomous driving (AD) holds the potential to revolutionize transportation efficiency, but its
success hinges on robust behavior planning … encountered by autonomous vehicles through …

Path planning for autonomous car

P Shruthi, R Resmi - 2019 2nd International Conference on …, 2019 - ieeexplore.ieee.org
… Abstract—The autonomous cars will transform the lifestyle of people by creating an efficient
… looking for a longterm vision in autonomous cars so that there is a significant enhancement …