Aiming at the local minimum point problem in an artificial potential field based on a safe
distance model, this article proposes an algorithm for active obstacle avoidance path …

Autonomous vehicle control systems are unavoidably influenced by diverse noise
perturbations from the unpredictable external environment and internal system. In this …

Intelligent escape is an interdisciplinary field that employs artificial intelligence (AI)
techniques to enable robots with the capacity to intelligently react to potential dangers in …

To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …

The prior monitoring of the road surface conditions provides valuable information to vehicle
trajectory planning and active control systems. Road surface perception with vision sensors …

The uncertainties of driver's behavior seriously affect road safety and bring significant
challenges to the human-machine cooperative control. This paper proposes a human …

Lane-changing is a critical issue for autonomous vehicles (AVs), especially in complex
environments. In addition, different drivers have different handling preferences. How to …

In this article, a hierarchical real-time motion planning system is proposed to solve complex
navigation problem in realistic dynamic traffic environments. First, a longitudinal safety …

There are three key roles in Intelligent Transportation Systems (ITS): driver, vehicle and
road. However, existing static interactions among Driver-Vehicle-Road (DVR) are too …

In recent years, nonlinear model predictive control has been extensively used for solving
automotive motion control and planning tasks. In order to formulate the nonlinear model …