Planning and decision-making for connected autonomous vehicles at road intersections: A review

S Li, K Shu, C Chen, D Cao - Chinese Journal of Mechanical Engineering, 2021 - Springer
Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …

Decision-making technology for autonomous vehicles: Learning-based methods, applications and future outlook

Q Liu, X Li, S Yuan, Z Li - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
Autonomous vehicles have a great potential in the application of both civil and military fields,
and have become the focus of research with the rapid development of science and …

Autonomous driving strategies at intersections: Scenarios, state-of-the-art, and future outlooks

L Wei, Z Li, J Gong, C Gong, J Li - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Due to the complex and dynamic character of intersection scenarios, the autonomous
driving strategy at intersections has been a difficult problem and a hot point in the research …

Reasoning about potential hidden traffic participants by tracking occluded areas

L Wang, C Burger, C Stiller - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
Autonomous vehicles face big challenges guaranteeing provable safety during driving. One
of the major problems is the uncertainty arising from the perception of the surrounding …

POMDPs for safe visibility reasoning in autonomous vehicles

KH Wray, B Lange, A Jamgochian… - … on Intelligence and …, 2021 - ieeexplore.ieee.org
We present solutions for autonomous vehicles in limited visibility scenarios, such as
traversing T-intersections, as well as detail how these scenarios can be handled …

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
Safely driving through various occlusion scenarios in urban environments, such as bus
stops or crosswalks, is challenging for autonomous vehicles (AVs). Improving the ability to …

Carl-lead: Lidar-based end-to-end autonomous driving with contrastive deep reinforcement learning

P Cai, S Wang, H Wang, M Liu - arXiv preprint arXiv:2109.08473, 2021 - arxiv.org
Autonomous driving in urban crowds at unregulated intersections is challenging, where
dynamic occlusions and uncertain behaviors of other vehicles should be carefully …

Deadlock-free planner for occluded intersections using estimated visibility of hidden vehicles

P Narksri, E Takeuchi, Y Ninomiya, K Takeda - Electronics, 2021 - mdpi.com
A common approach used for planning blind intersection crossings is to assume that
hypothetical vehicles are approaching the intersection at a constant speed from the …

A hierarchical planning framework of the intersection with blind zone and uncertainty

Y Wang, Y Guo, J Wang - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
It is important for autonomous vehicles to plan at the unsignalized intersection due to the
uncertainty of visible vehicles and phantom vehicles in the blind zone. This paper proposes …

Edge-based safety intersection assistance architecture for connected vehicles

S Khamari, T Ahmed, M Mosbah - 2021 International Wireless …, 2021 - ieeexplore.ieee.org
Cooperative Intelligent Transportation Systems (C-ITS) are being developed to enable
information exchange among vehicles and between vehicles and the roadside …