This paper capitalizes on the increasingly high relevance gained by data-intensive
technologies in the development of intelligent transportation system, which calls for the …

Recently, research on path planning for the autonomous underwater vehicles (AUVs) has
developed rapidly. Heuristic algorithms have been widely used to plan a path for AUV, but …

Multi-vehicle motion planning (MVMP) has become an emerging paradigm in connected
and automated vehicles (CAVs). The cooperative lane-change movements with the …

The inherent flexibility of hierarchical structure scheme with main-servo loop control
structure is proposed to the problem of integrated chassis control system for the vehicle. It …

Traditional A-star algorithms encounter challenges such as an excess of turning points,
significant turning angles, and proximity of turning points to obstacles. These issues can …

Autonomous vehicles hold the potential to significantly improve traffic efficiency and
advance the development of intelligent transportation systems. With the progression of …

In order to ensure the safe navigation of USVs (unmanned surface vessels) and real-time
collision avoidance, this study conducts global and local path planning for USVs in a …

Architecture design is one of the most important problems for an intelligent system. In this
paper, a practical framework of hardware and software is proposed to reveal the external …

With the proliferation in demand for navigation systems for reconnaissance, surveillance,
and other day-to-day activities, the development of efficient and robust path planning …

This paper proposes a novel decentralize and asynchronous robotic search algorithm based
on particle swarm optimization (PSO), which has focused on solving mazes and finding …