This paper presents a hierarchical trajectory planning based on the integration of a sampling
and an optimization method for urban autonomous driving. To manage a complex driving …

Despite the advances in the autonomous driving domain, autonomous vehicles (AVs) are
still inefficient and limited in terms of cooperating with each other or coordinating with …

The emerging connected and autonomous vehicle (CAV) technologies offer a promising
solution to design better lane-changing maneuvers that can reduce the negative impacts of …

Intelligent vehicle testing has been a hotspot in the field of intelligent vehicles. Due to the
multi-dimensional parameters and the continuity of testing scenarios, a complete test of all …

As embedded and mobile systems grow pervasive in people lives and expand their reach,
paradigms related to mobile crowdsensing (MCS) are going to play an ever more prominent …

Driving in a human-like manner is important for an autonomous vehicle to be a smart and
predictable traffic participant. To achieve this goal, parameters of the motion planning …

This paper addresses modeling and simulating pedestrian trajectories when interacting with
an autonomous vehicle in a shared space. Most pedestrian–vehicle interaction models are …

Cooperative trajectory planning of connected autonomous vehicles (CAVs) generally admits
strong nonlinearity and non-convexity, rendering great difficulties in finding the optimal …

With rapid development of artificial intelligence (AI) technology, social network (SN) can use
AI to extract useful knowledge of users to improve the quality of peoples lives. Although AI …

With the adoption of autonomous vehicles on our roads, we will witness a mixed-autonomy
environment where autonomous and human-driven vehicles must learn to co-exist by …