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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shiquan Peng Harlow, C.A. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA (Shiquan Peng; Harlow, C.A.) |
| Abstract | In this project we consider automated vehicle location and classification systems. Current systems which utilize loop detectors or video cameras have deficiencies. Video based systems are sensitive to environmental conditions and do not perform well in vehicle classification. The new generation of range or distance sensors that are being developed offer the promise of sensors which are not sensitive to lighting conditions and provide information which should give better vehicle detection and classification percentages than current systems. The focus of this project is to develop an automated vehicle location and classification system based upon imagery obtained from range sensors. Image analysis operators and classification methods are developed for vehicle classification. Preliminary results indicate that accurate vehicle classification can be obtained. |
| Starting Page | 327 |
| Ending Page | 331 |
| File Size | 378990 |
| Page Count | 5 |
| File Format | |
| ISBN | 0818673524 |
| ISSN | 00942898 |
| DOI | 10.1109/SSST.1996.493523 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-03-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicle detection Radar detection Sensor systems Costs Infrared detectors Laser radar Image processing Road transportation Machine vision Surveillance |
| Content Type | Text |
| Resource Type | Article |
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