Bump/Hump Detection Using CNN with Stereo Camera Road Height Profile as Input
The authors developed a method to detect bumps/Humps, which are small bumps placed on the road, using an in-vehicle stereo camera. Therefore, they developed a CNN discriminator that uses depth-height waveforms obtained from 3D shape measurements as input. The authors investigated the performance and processing time of a configuration that can be scaled to the processing capacity of an embedded device.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
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Authors:
- Matono, Haruki
- Takemura, Masayuki
- Tsukuda, Yuki
- Mitoma, Hiroto
- Publication Date: 2023-5
Language
- English
- Japanese
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 504-508
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Serial:
- Transactions of Society of Automotive Engineers of Japan
- Volume: 54
- Issue Number: 3
- 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: Cameras; Detection and identification system applications; Image processing; Neural networks; Speed control humps; Surface course (Pavements)
- Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01883462
- Record Type: Publication
- Source Agency: Japan Science and Technology Agency (JST)
- Files: TRIS, JSTAGE
- Created Date: May 25 2023 1:51PM