The safety filter: A unified view of safety-critical control in autonomous systems

KC Hsu, H Hu, JF Fisac - Annual Review of Control, Robotics …, 2023 - annualreviews.org
Recent years have seen significant progress in the realm of robot autonomy, accompanied
by the expanding reach of robotic technologies. However, the emergence of new …

Uncertainties in onboard algorithms for autonomous vehicles: Challenges, mitigation, and perspectives

K Yang, X Tang, J Li, H Wang, G Zhong… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Autonomous driving is considered one of the revolutionary technologies shaping humanity's
future mobility and quality of life. However, safety remains a critical hurdle in the way of …

Set-based prediction of traffic participants considering occlusions and traffic rules

M Koschi, M Althoff - IEEE Transactions on Intelligent Vehicles, 2020 - ieeexplore.ieee.org
Provably safe motion planning for automated road vehicles must ensure that planned
motions do not result in a collision with other traffic participants. This is a major challenge in …

Occlusion-aware risk assessment for autonomous driving in urban environments

MY Yu, R Vasudevan… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
Navigating safely in urban environments remains a challenging problem for autonomous
vehicles. Occlusion and limited sensor range can pose significant challenges to safely …

A POMDP maneuver planner for occlusions in urban scenarios

C Hubmann, N Quetschlich, J Schulz… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Behavior planning in urban environments must consider the various existing uncertainties in
an explicit way. This work proposes a behavior planner, based on a POMDP formulation …

Safe occlusion-aware autonomous driving via game-theoretic active perception

Z Zhang, JF Fisac - arXiv preprint arXiv:2105.08169, 2021 - arxiv.org
Autonomous vehicles interacting with other traffic participants heavily rely on the perception
and prediction of other agents' behaviors to plan safe trajectories. However, as occlusions …

Potential risk assessment for safe driving of autonomous vehicles under occluded vision

D Wang, W Fu, Q Song, J Zhou - Scientific reports, 2022 - nature.com
This study aimed to explore how autonomous vehicles can predict potential risks and
efficiently pass through the dangerous interaction areas in the face of occluded scenes or …

A safe hierarchical planning framework for complex driving scenarios based on reinforcement learning

J Li, L Sun, J Chen, M Tomizuka… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Autonomous vehicles need to handle various traffic conditions and make safe and efficient
decisions and maneuvers. However, on the one hand, a single optimization/sampling-based …

Decision making through occluded intersections for autonomous driving

X Lin, J Zhang, J Shang, Y Wang, H Yu… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Driving in unsignalized intersections poses significant challenges for autonomous vehicles,
as various uncertainties are involved. On one hand, behaviors of vehicles in the observable …

Uncertainty-aware decision-making for autonomous driving at uncontrolled intersections

X Tang, G Zhong, S Li, K Yang, K Shu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reinforcement learning (RL) has been widely used in the decision-making of autonomous
vehicles (AVs) in recent studies. However, existing RL methods generally find the optimal …