Autonomous driving solutions stretch over different disciplines and technologies eg,
sensors, communication, computation, machine learning, data analytic, etc., that need to be …

The advancement in sensor technologies, mobile network technologies, and artificial
intelligence has pushed the boundaries of different verticals, eg, eHealth and autonomous …

Autonomous driving is considered one of the revolutionary technologies shaping humanity's
future mobility and quality of life. However, safety remains a critical hurdle in the way of …

Driving through dense urban environments is difficult for autonomous vehicles because they
must reason about the unknown intentions of a large number of road users while also …

This article advances state-of-the-art automated driving systems with a comprehensive
framework that encompasses decision making, maneuver planning, and trajectory tracking …

This paper presents a literature review on Intention-aware and Interaction-aware Trajectory
Prediction for Autonomous Vehicle, which covers primary studies since 2008. The research …

Motion planning is an essential part of autonomous vehicles. The planning process should
respond to environmental changes in real time to ensure safety. This paper proposes an …

In the near future, automated vehicles (AVs) will have to interact closely with Human-driven
vehicles (HDVs). This work proposes an integrated decision-making framework that …

Decision-making plays a critical role in autonomous driving, connecting the upstream
perception task and the downstream planning task. The interaction among vehicles and the …

Abstract Connected and Automated Vehicles (CAVs) is expected to reshape the
transportation system, and cooperative group intelligence of CAVs has great potential for …