INTELLIGENT VEHICLE TECHNOLOGIES. CHAPTER 6. FROM DOOR TO DOOR - PRINCIPLES AND APPLICATIONS OF COMPUTER VISION FOR DRIVER ASSISTANT SYSTEMS
Developments in vision-based driver assistance at DaimlerChrysler are reviewed with reference to the goal of a comprehensive driver assistance system. Components of such a system discussed include: traffic lane recognition and lane keeping; traffic sign detection and recognition; driver assistance in urban traffic; shape-based analysis (including of moving pedestrians); and road (and road marking) recognition. Object recognition as a classification problem, and the design of intelligent systems are discussed. For the covering abstract see ITRD E109878.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0750650931
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Corporate Authors:
Butterworth-Heinemann
Linacre House, Jordan Hill
Oxford, United Kingdom OX2 8DP -
Authors:
- Franke, U
- GAVRILA, D
- GERN, A
- GOERZIG, S
- HANSSEN, R
- PAETZOLD, F
- WOEHLER, C
- Publication Date: 2001
Language
- English
Media Info
- Features: References;
- Pagination: p. 131-88
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Serial:
- Publication of: BUTTERWORTH-HEINEMANN
- Publisher: Butterworth-Heinemann
Subject/Index Terms
- TRT Terms: Autonomous intelligent cruise control; Detection and identification; Detectors; Driver support systems; Drivers; Intelligent transportation systems; Motor vehicle navigational aids; Road markings; Sensors; Textbooks; Traffic lanes; Traffic signs; Urban areas; Vehicles; Vision
- ITRD Terms: 1451: Adaptive cruise control; 562: Carriageway marking; 9115: Detection; 1772: Driver; 8743: Driver assistance system; 8735: Intelligent transport system; 6120: Sensor; 8526: Textbook; 2827: Traffic lane; 553: Traffic sign; 313: Urban area; 1255: Vehicle; 2066: Vision
- Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 00817322
- Record Type: Publication
- Source Agency: Transport Research Laboratory
- ISBN: 0-7506- 5093-1
- Files: ITRD
- Created Date: Oct 4 2001 12:00AM