Work

Path Planning Strategy Based on Principal Component Federation for Multi-Agent in Connected Vehicles

Year: 2024

Type: article

Source: IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2024.3510432

Authors: Ruonan Li, Yang Qin, Jie Liu, Lu Zang, Jinlong Li

Institutions: Harbin Institute of Technology, Peng Cheng Laboratory, Guangzhou University

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funders: Key Research and Development Project of Hainan Province, Shenzhen Research and Development Program, National Key Research and Development Program of China

Awards: G1058764032, G1451400422, G3393573009

OpenAlex ID: W4405361378

FWCI: 1.12

Cites: 40

Cited by: 8

Related to: 10