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 …
safety. It requires understanding the intent of human drivers and adapting to their driving …
The green choice: Learning and influencing human decisions on shared roads
Autonomous vehicles have the potential to increase the capacity of roads via platooning,
even when human drivers and autonomous vehicles share roads. However, when users of a …
even when human drivers and autonomous vehicles share roads. However, when users of a …
Ethical decision making for autonomous vehicles
We address ethical dilemma situations that may arise during autonomous driving. To
evaluate how this deliberation could work, we propose a decision-making algorithm based …
evaluate how this deliberation could work, we propose a decision-making algorithm based …
Moral machine or tyranny of the majority?
With artificial intelligence systems increasingly applied in consequential domains,
researchers have begun to ask how AI systems ought to act in ethically charged situations …
researchers have begun to ask how AI systems ought to act in ethically charged situations …
[引用][C] Autonomous vehicles need experimental ethics: are we ready for utilitarian cars
Safe, multi-agent, reinforcement learning for autonomous driving
S Shalev-Shwartz, S Shammah, A Shashua - arXiv preprint arXiv …, 2016 - arxiv.org
Autonomous driving is a multi-agent setting where the host vehicle must apply sophisticated
negotiation skills with other road users when overtaking, giving way, merging, taking left and …
negotiation skills with other road users when overtaking, giving way, merging, taking left and …
Sense–Assess–eXplain (SAX): Building trust in autonomous vehicles in challenging real-world driving scenarios
M Gadd, D De Martini, L Marchegiani… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
This paper discusses ongoing work in demonstrating research in mobile autonomy in
challenging driving scenarios. In our approach, we address fundamental technical issues to …
challenging driving scenarios. In our approach, we address fundamental technical issues to …
Driving in dense traffic with model-free reinforcement learning
Traditional planning and control methods could fail to find a feasible trajectory for an
autonomous vehicle to execute amongst dense traffic on roads. This is because the obstacle …
autonomous vehicle to execute amongst dense traffic on roads. This is because the obstacle …
Safe real-world autonomous driving by learning to predict and plan with a mixture of experts
The goal of autonomous vehicles is to navigate public roads safely and comfortably. To
enforce safety, traditional planning approaches rely on handcrafted rules to generate …
enforce safety, traditional planning approaches rely on handcrafted rules to generate …
Socially-aware navigation using topological maps and social norm learning
We present socially-aware navigation for an intelligent robot wheelchair in an environment
with many pedestrians. The robot learns social norms by observing the behaviors of human …
with many pedestrians. The robot learns social norms by observing the behaviors of human …