
Analysis of key technologies to achieve autonomous driving on closed roads in the near future
Author(s) -
Guang Yang,
Xiaoyue Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1601/5/052040
Subject(s) - key (lock) , perception , computer science , motion planning , control (management) , the internet , path (computing) , transport engineering , engineering , computer security , artificial intelligence , robot , psychology , world wide web , neuroscience , programming language
In recent years, autonomous driving has received widespread attention worldwide. Many car companies and Internet companies have been competing for research and development. This article first reviews the current status of autonomous driving at home and abroad, then discusses key technologies for autonomous driving such as environmental perception, high-precision maps and navigation and positioning, path planning, and motion control. At the same time, the current situation, problems and solutions of autonomous driving on closed roads are discussed.