Social interactions for autonomous driving: A review and perspectives
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …
their goals in social traffic scenes. A rational human driver can interact with other road users …
End-to-end contextual perception and prediction with interaction transformer
In this paper, we tackle the problem of detecting objects in 3D and forecasting their future
motion in the context of self-driving. Towards this goal, we design a novel approach that …
motion in the context of self-driving. Towards this goal, we design a novel approach that …
Efficient sampling-based maximum entropy inverse reinforcement learning with application to autonomous driving
In the past decades, we have witnessed significant progress in the domain of autonomous
driving. Advanced techniques based on optimization and reinforcement learning become …
driving. Advanced techniques based on optimization and reinforcement learning become …
Interaction-aware decision-making for automated vehicles using social value orientation
Motion control algorithms in the presence of pedestrians are critical for the development of
safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on …
safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on …
Probabilistic prediction of interactive driving behavior via hierarchical inverse reinforcement learning
Autonomous vehicles (AVs) are on the road. To safely and efficiently interact with other road
participants, AVs have to accurately predict the behavior of surrounding vehicles and plan …
participants, AVs have to accurately predict the behavior of surrounding vehicles and plan …
Human-inspired autonomous driving: A survey
Autonomous vehicles promise to revolutionize society and improve the daily life of many,
making them a coveted aim for a vast research community. To enable complex reasoning in …
making them a coveted aim for a vast research community. To enable complex reasoning in …
Towards efficient human-robot collaboration with robust plan recognition and trajectory prediction
Human-robot collaboration (HRC) is becoming increasingly important as the paradigm of
manufacturing is shifting from mass production to mass customization. The introduction of …
manufacturing is shifting from mass production to mass customization. The introduction of …
Analyzing the suitability of cost functions for explaining and imitating human driving behavior based on inverse reinforcement learning
Autonomous vehicles are sharing the road with human drivers. In order to facilitate
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …
Transferable and adaptable driving behavior prediction
While autonomous vehicles still struggle to solve challenging situations during on-road
driving, humans have long mastered the essence of driving with efficient, transferable, and …
driving, humans have long mastered the essence of driving with efficient, transferable, and …
Socially-compatible behavior design of autonomous vehicles with verification on real human data
As more and more autonomous vehicles (AVs) are being deployed on public roads,
designing socially compatible behaviors for them is becoming increasingly important. In …
designing socially compatible behaviors for them is becoming increasingly important. In …