DocumentCode :
2535626
Title :
Automatic detection and classification of safety barriers in road construction sites using a laser scanner
Author :
Wimmer, Andreas ; Weiss, Thorsten ; Flogel, Francesco ; Dietmayer, Klaus
Author_Institution :
Inst. of Meas., Control, & Microtechnol., Univ. of Ulm, Ulm, Germany
fYear :
2009
fDate :
3-5 June 2009
Firstpage :
578
Lastpage :
583
Abstract :
Lateral control of trucks is a challenging task, especially in demanding environments such as road construction sites as the lane width is reduced. Detailed and highly accurate maps, which contain traffic infrastructure objects, will provide important information for a lane keeping assistant for heavy duty vehicles. This paper presents a new approach for the automatic detection and classification of safety barriers in road construction sites using a laser scanner. This data then is used for the generation of a detailed road work map.
Keywords :
civil engineering computing; driver information systems; object detection; optical scanners; road building; road safety; automatic safety barrier detection; heavy duty vehicles; laser scanner; road construction sites; road work map; safety barrier classification; traffic infrastructure objects; Automatic control; Communication system traffic control; Optical control; Poles and towers; Rails; Road safety; Sensor fusion; Vehicle detection; Vehicle safety; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2009 IEEE
Conference_Location :
Xi´an
ISSN :
1931-0587
Print_ISBN :
978-1-4244-3503-6
Electronic_ISBN :
1931-0587
Type :
conf
DOI :
10.1109/IVS.2009.5164342
Filename :
5164342
Link To Document :
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