Autonomous vehicle (AV) industry has evolved rapidly during the past decade. Research
and development in each sub-module (perception, state estimation, motion planning etc.) of …

Accurate vehicle trajectory prediction can benefit a variety of intelligent transportation system
applications ranging from traffic simulations to driver assistance. The need for this ability is …

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 …

Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …

This article presents an interacting multiple model (IMM) for short-term prediction and long-
term trajectory prediction of an intelligent vehicle. This model is based on vehicle's physics …

In this study, a conceptual framework is proposed for the development of a video
surveillance-based system for improving road safety. Based on the framework, a set of …

The multi-ship encounter situation at sea is characterized by high complexity and
uncertainty, which is a big challenge for both traditional ships and the new autonomous …

For automated vehicles (AVs) to navigate safely, they must be able to anticipate and predict
the behavior of pedestrians. This is particularly critical in urban driving environments where …

Automated vehicles require a comprehensive understanding of traffic situations to ensure
safe and anticipatory driving. In this context, the prediction of pedestrians is particularly …

When autonomous robots interact with humans, such as during autonomous driving, explicit
safety guarantees are crucial in order to avoid potentially life-threatening accidents. Many …