Courteous autonomous cars

L Sun, W Zhan, M Tomizuka… - 2018 IEEE/RSJ …, 2018 - ieeexplore.ieee.org
Typically, autonomous cars optimize for a combination of safety, efficiency, and driving
quality. But as we get better at this optimization, we start seeing behavior go from too …

Cooperative autonomous vehicles that sympathize with human drivers

B Toghi, R Valiente, D Sadigh… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
Widespread adoption of autonomous vehicles will not become a reality until solutions are
developed that enable these intelligent agents to co-exist with humans. This includes safely …

Do you want your autonomous car to drive like you?

C Basu, Q Yang, D Hungerman, M Singhal… - Proceedings of the …, 2017 - dl.acm.org
With progress in enabling autonomous cars to drive safely on the road, it is time to start
asking how they should be driving. A common answer is that they should be adopting their …

Socially-compatible behavior design of autonomous vehicles with verification on real human data

L Wang, L Sun, M Tomizuka… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
As more and more autonomous vehicles (AVs) are being deployed on public roads,
designing socially compatible behaviors for them is becoming increasingly important. In …

[PDF][PDF] Planning for autonomous cars that leverage effects on human actions.

D Sadigh, S Sastry, SA Seshia… - Robotics: Science and …, 2016 - scholar.archive.org
Traditionally, autonomous cars make predictions about other drivers' future trajectories, and
plan to stay out of their way. This tends to result in defensive and opaque behaviors. Our key …

Altruistic maneuver planning for cooperative autonomous vehicles using multi-agent advantage actor-critic

B Toghi, R Valiente, D Sadigh, R Pedarsani… - arXiv preprint arXiv …, 2021 - arxiv.org
With the adoption of autonomous vehicles on our roads, we will witness a mixed-autonomy
environment where autonomous and human-driven vehicles must learn to co-exist by …

Analyzing the suitability of cost functions for explaining and imitating human driving behavior based on inverse reinforcement learning

M Naumann, L Sun, W Zhan… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
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 …

Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state

D Sadigh, N Landolfi, SS Sastry, SA Seshia… - Autonomous …, 2018 - Springer
Traditionally, autonomous cars treat human-driven vehicles like moving obstacles. They
predict their future trajectories and plan to stay out of their way. While physically safe, this …

Deep reinforcement learning for human-like driving policies in collision avoidance tasks of self-driving cars

R Emuna, A Borowsky, A Biess - arXiv preprint arXiv:2006.04218, 2020 - arxiv.org
The technological and scientific challenges involved in the development of autonomous
vehicles (AVs) are currently of primary interest for many automobile companies and …

Social behavior for autonomous vehicles

W Schwarting, A Pierson… - Proceedings of the …, 2019 - National Acad Sciences
Deployment of autonomous vehicles on public roads promises increased efficiency and
safety. It requires understanding the intent of human drivers and adapting to their driving …