Distance Measurement using Camera Image for Automatic Classification of Driving Scenes on Cloud
Unexpected operation made by the vehicle system are becoming difficult to analyze due to the sophistication of autonomous driving technology. As such, there is a growing demand to collect and classify images of various driving scenes using cloud platform, but this process requires a lot of workload. Therefore, it is necessary to develop a technology to automatically classify driving scenes based on the information of the ego vehicle’s surrounding situation. This paper proposes a method to accurately detect objects in front of the vehicle and estimate their distance using a perspective projection model by applying super-resolution and object detection techniques.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
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Authors:
- Sasaki, Goshi
- Jiralerspong, Trongmun
- Asai, Daisuke
- Publication Date: 2021-11
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 1235-1240
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Serial:
- Transactions of Society of Automotive Engineers of Japan
- Volume: 52
- Issue Number: 6
- 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: Autonomous vehicles; Classification; Cloud computing; Detection and identification system applications; Following distance; Image processing
- Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01788001
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: Nov 15 2021 9:24AM