Proposal of Obstacle Detection and Shape Recognition Method for Transfer Robot Using Line Laser and Camera

Autor: Seiichi Serikawa, Suetsugu Miki, Shiyuan Yang
Rok vydání: 2019
Předmět:
Zdroj: Proceedings of The 7th International Conference on Intelligent Systems and Image Processing 2019.
DOI: 10.12792/icisip2019.039
Popis: At present, the demand for unmanned transport vehicles, which manage unmanned loads in factories and warehouses, is increasing due to an increase in users of mail order and the like. A conventional unmanned transport vehicle stops in advance when a runway is determined and an obstacle exists on the runway. Therefore, after detecting an obstacle, it is necessary to avoid and travel efficiently. In this study, we propose a method to detect obstacles and recognize their shapes in order to travel efficiently. With conventional detection methods, the detection range is narrow and methods that can be widely detected have high cost problems. In this research, conventional problems can be solved by using a line laser and a camera.
Databáze: OpenAIRE