Port environmental path planning based on key obstacles

• Published in: Scientific reports Vol. 14; no. 1; pp. 21757 - 14
• Main Authors: Yang, Guoliang, Xiong, Wenkai
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 18.09.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166; 639/166/988; Algorithms; Humanities and Social Sciences; multidisciplinary; Problem solving; Science; Science (multidisciplinary)

This paper proposes an improved hybrid algorithm for automated guided vehicles (AGVs) in port environments based on the concept of key obstacles for the JPS and DWA algorithms. Given the complexity of the port environment and the abundance of obstacles, the traditional heuristic function of the JPS...