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 …
Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …
and transportation systems to digitize and synergize connected automated vehicles …
Artificial intelligence, values, and alignment
I Gabriel - Minds and machines, 2020 - Springer
This paper looks at philosophical questions that arise in the context of AI alignment. It
defends three propositions. First, normative and technical aspects of the AI alignment …
defends three propositions. First, normative and technical aspects of the AI alignment …
Smarts: An open-source scalable multi-agent rl training school for autonomous driving
Interaction is fundamental in autonomous driving (AD). Despite more than a decade of
intensive R&D in AD, how to dynamically interact with diverse road users in various contexts …
intensive R&D in AD, how to dynamically interact with diverse road users in various contexts …
The moral psychology of Artificial Intelligence
Moral psychology was shaped around three categories of agents and patients: humans,
other animals, and supernatural beings. Rapid progress in artificial intelligence has …
other animals, and supernatural beings. Rapid progress in artificial intelligence has …
Deep learning-based robust positioning for all-weather autonomous driving
Interest in autonomous vehicles (AVs) is growing at a rapid pace due to increased
convenience, safety benefits and potential environmental gains. Although several leading …
convenience, safety benefits and potential environmental gains. Although several leading …
Learning to predict vehicle trajectories with model-based planning
Predicting the future trajectories of on-road vehicles is critical for autonomous driving. In this
paper, we introduce a novel prediction framework called PRIME, which stands for Prediction …
paper, we introduce a novel prediction framework called PRIME, which stands for Prediction …
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
[HTML][HTML] Evaluation of socially-aware robot navigation
As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …
imperative that these robots navigate with and among people in a safe and socially …
Defining interactions: A conceptual framework for understanding interactive behaviour in human and automated road traffic
Rapid advances in technology for highly automated vehicles (HAVs) have raised concerns
about coexistence of HAVs and human road users. Although there is a long tradition of …
about coexistence of HAVs and human road users. Although there is a long tradition of …