Autonomous vehicles (AVs) have emerged as a promising technology for enhancing road
safety and mobility. However, designing AVs involves various critical aspects, such as …

Scenarios Engineering: Enabling Trustworthy and Effective AI for Autonomous Vehicles Page
1 1 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES Scenarios Engineering: Enabling …

Throughout the last century, the automobile industry achieved remarkable milestones in
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …

Driving safety is the most important element that needs to be considered for autonomous
vehicles (AVs). To ensure driving safety, we proposed a lane change decision-making …

Advanced Driving Assist Systems (ADAS) are on the rise in new cars, including versions that
embed artificial intelligence in computer vision systems that leverage deep learning …

In the rapidly evolving landscape of autonomous driving, the capability to accurately predict
future events and assess their implications is paramount for both safety and efficiency …

This paper presents fast non-sampling based methods to assess the risk of trajectories for
autonomous vehicles when probabilistic predictions of other agents' futures are generated …

In this paper, we proposed a new risk assessment based decision-making algorithm to
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …

Autonomous driving presents one of the largest problems that the robotics and artificial
intelligence communities are facing at the moment, both in terms of difficulty and potential …

Recently significant progress has been made in vehicle prediction and planning algorithms
for autonomous driving. However, it remains quite challenging for an autonomous vehicle to …