Open AccessTechnology of intelligent driving radar perception based on driving brain
Author(s) -
Gao Hongbo,
Zhang Xinyu,
Zhao Jianhui,
Li Deyi
Publication year - 2017
Publication title -
caai transactions on intelligence technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.613
H-Index - 15
ISSN - 2468-2322
DOI - 10.1049/trit.2017.0010
Subject(s) - radar , obstacle , real time computing , sensor fusion , intelligent sensor , installation , engineering , intelligent transportation system , computer science , radar engineering details , wireless sensor network , artificial intelligence , radar imaging , transport engineering , telecommunications , mechanical engineering , computer network , political science , law
Radar is an important sensor to realise intelligent driving environment perception, enabling the detection of static obstacles and dynamic obstacles, and the tracking of a dynamic obstacle. The models, quantities, and installing location of the platform radar sensors as well as the information processing modules differ from each other on different intelligent driving testing platforms, resulting in different quantities and interfaces on the intelligent driving system. Here, the authors build the software architecture of intelligent driving vehicle based on driving brain which is used to adapt to different types of radar sensors and use the variable granularity road ownership radar for radar information fusion. Under the condition of complete driving information, increasing or reducing the number of radar sensors and changing the radar sensor model or installing location will not affect the intelligent driving decision directly. Therefore, the authors meet the demands of multi‐radar sensor adapting to different intelligent driving hardware testing platforms.