Open AccessResearch on pavement garbage detection based on machine vision
Author(s) -
Jiawei Liu,
Tian Guan,
Yajing Zhen,
Yaoming Zhang,
Xiaoli Song,
Zhaojian Wang,
Dongsheng Zhang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/892/1/012047
Subject(s) - garbage , truck , process (computing) , computer science , software , urbanization , garbage collection , automotive engineering , artificial intelligence , engineering , operating system , programming language , economics , economic growth
With the continuous advancement of China’s urbanization process and the continuous development of autonomous driving technology in recent years, it has become a trend to use unmanned garbage sweepers to clean up and maintain the road surface. Garbage detection is an important part of the operation process of unmanned garbage sweeping trucks. It replaces human brains in the process of observing, judging, and locating garbage on the road, which directly affects the efficiency of sweeping trucks. This paper takes Halcon software as the main platform to introduce the research of road garbage detection based on machine vision.