Inference and Decision Making for Autonomous Vehicles 

The impacts of autonomous vehicles are reaching more and more industries and domains, bringing about transformative changes to society. However, they do not come without their obvious challenges in making reliable and trustworthy decisions in the real world. At the core of safely integrating autonomous vehicles into society is equipping them with the ability to reason under uncertainty. Improved technology means higher demands on autonomous vehicles to properly infer the knowledge they need about the world and make decisions. 

Inference and Decision Making for Autonomous Vehicles (IDMAV) is a full-day workshop that will be a forum for researchers and practitioners from academia and industry to explore the latest advancements and challenges in the field of decision making for autonomous vehicles. Our goal is to highlight some of the latest research efforts in inference and decision making geared towards improving vehicle autonomy. 

Presenters and panelists invited to the workshop represent a broad spectrum of research domains including safe autonomy, multi-agent planning, formal methods, estimation/perception etc. The intended audience consists of researchers in these fields who are eager to interact with a diverse set of ideas related to autonomy and acquaint themselves with the state of the art in IDMAV. 

In addition to presentations and panel discussions, the workshop will also include poster sessions and oral presentations. The goal of these activities is to encourage active participation and collaboration among attendees and to promote the exchange of ideas.

We are interested in answering the following questions:

• What safety and reliability concepts can we employ to certify autonomous systems?

• How can we handle out-of-distribution data for learning-based (aided) autonomous systems?

• What are the challenges and opportunities when dealing with multiple agents' responses or operating multiple autonomous systems?

We welcome contributions in form of a paper (2 to 4 pages in double column format excluding references) addressing the topics of the workshop. Accepted submissions will be presented through either posters or oral presentations, depending on the number of received contributions.

The followings are representative topics, however, the scope of interest extends beyond these topics:

• Decision Making under Uncertainty

• Perception and Estimation based on Limited Sensor Measurements

• Safe Autonomy

• Multi-Agent Systems

• Exploration of Uncertain Environments