Enhanced Iron-Tunnel Recognition for Automotive Radars
In this paper, the authors propose a novel iron-tunnel recognition method to overcome the deterioration of the target or vehicle detection performance due to iron-tunnel clutters. Although a few studies on the reflection and diffraction on road surfaces have been conducted for automotive radar sensors, most of these studies did not consider the situation in which structures with larger reflection, such as an iron tunnel, are densely distributed. The proposed method measures the degree of spectral spreading through the analysis of the spectrum characteristics of the received radar signal under different road conditions. The proposed method can successfully detect iron tunnels. In addition, experimental results show that early detection and missing problem of a forward target vehicle in an iron tunnel under adaptive cruise control (ACC) is improved.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Authors:
- Lee, Jae-Eun
- Lim, Hae-Seung
- Jeong, Seong-Hee
- Kim, Seong-Cheol
- Shin, Hyun-Chool
- Publication Date: 2016-6
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 4412-4418
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Serial:
- IEEE Transactions on Vehicular Technology
- Volume: 65
- Issue Number: 6
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 0018-9545
- Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25
Subject/Index Terms
- TRT Terms: In vehicle sensors; Methodology; Radar antennas; Reflection; Spectrum analysis; Spread spectrum communications; Tunnels
- Subject Areas: Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01602949
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 28 2016 4:16PM