DocumentCode :
1941450
Title :
Feature-level map building and object recognition for intersection safety applications
Author :
Fuerstenberg, Kay Ch ; Weiss, Thorsten
Author_Institution :
IBEO Automobile Sensor GmbH, Hamburg, Germany
fYear :
2005
fDate :
6-8 June 2005
Firstpage :
490
Lastpage :
495
Abstract :
Accidents at intersections happen when drivers perform inappropriate manoeuvres. Advanced sensor systems enable the development of advanced driver assistance systems (ADAS) which can estimate the potential for a collision at a junction. Based on this the driver can be assisted to avoid the accident. This objective can be achieved by sensors for detection of vehicles and all other objects present at the intersection as well as sensors for localisation of the host vehicle when approaching the intersection and being on the intersection. Within INTERSAFE the accurate localisation of the host vehicle is achieved by Laserscanners and video using individual feature-level maps of the intersection. Furthermore the Laserscanner system is used to track and classify other road users and obstacles, providing additional data for the path prediction and risk assessment part of the application.
Keywords :
driver information systems; feature extraction; image classification; object recognition; road accidents; road safety; sensors; Laserscanner system; advanced driver assistance system; advanced sensor system; feature-level map building; intersection safety application; object recognition; path prediction; risk assessment; Automobiles; Object detection; Object recognition; Risk management; Road accidents; Road vehicles; Sensor systems; Vehicle detection; Vehicle driving; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2005. Proceedings. IEEE
Print_ISBN :
0-7803-8961-1
Type :
conf
DOI :
10.1109/IVS.2005.1505151
Filename :
1505151
Link To Document :
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