LiDAR and Radar Sensor Fusion for Localizing Autonomous Vehicles
Localization is one of the techniques for enabling autonomous vehicles. In previous studies, LiDAR based localization system has been proposed and tested. However, there is a problem that the system is weak to work with rain and snow conditions. Therefore, Millimeter Wave Radar (MWR) based localization system has been proposed. MWR is robust to weather changes and can sense objects through snow. Accordingly, this paper proposes a localization system based on integrating LiDAR and MWR to improve the accuracy of vehicle estimated position during autonomous driving.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
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Authors:
- Hirano, Daichi
- Yoneda, Keisuke
- Yanase, Ryo
- Aldibaja, Mohammad
- Suganuma, Naoki
- Publication Date: 2020-9
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; Photos; References; Tables;
- Pagination: pp 824-829
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Serial:
- Transactions of Society of Automotive Engineers of Japan
- Volume: 51
- Issue Number: 5
- Publisher: Society of Automotive Engineers of Japan
- ISSN: 0287-8321
- EISSN: 1883-0811
- Serial URL: https://www.jstage.jst.go.jp/browse/jsaeronbun
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Automatic vehicle location; Autonomous vehicles; Data fusion; Laser radar; Millimeter wave devices; Radar; Rain; Snow; Weather conditions
- Subject Areas: Data and Information Technology; Environment; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01755885
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Oct 27 2020 12:24PM