DocumentCode :
3308622
Title :
Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner
Author :
Fuerstenberg, Kay Ch ; Dietmayer, Klaus C J ; Willhoeft, Volker
Author_Institution :
Dept. of Meas., Control & Microtechnol., Ulm Univ., Germany
Volume :
1
fYear :
2002
fDate :
17-21 June 2002
Firstpage :
31
Abstract :
Vehicle-mounted laser scanners are able to observe the vehicles environment in order to detect, track and classify the surrounding objects and thus providing data for active safety systems. The latest development of IBEO combines several innovations. The receiver diodes are arranged in an array, which enables simultaneous measurements in 4 horizontal planes, e.g. to compensate pitching of the vehicle. In addition a multi target capability is integrated. This technique enables the detection of two distances with a single measurement, thus enhancing the robustness against rain. This paper introduces improved high speed object detection and high performance object tracking algorithms for real-time data processing. Additionally a classification of the road users is possible. A system architecture for detection and modelling of dynamic traffic scenes is introduced in order to provide a general idea of the different tasks necessary to reach the aim of a complete environmental model using a sensor for a wide range of applications.
Keywords :
array signal processing; diodes; image recognition; object detection; optical scanners; real-time systems; road vehicles; stability; EBEO; high-performance object tracking algorithms; high-speed object detection; laser scanner; multitarget capability; object classification; object detection; object tracking; pedestrian recognition; pitching compensation; rain robustness; real-time data processing; receiver diode array; urban traffic; vehicle based multilayer laserscanner; Diodes; Nonhomogeneous media; Object detection; Rain; Robustness; Semiconductor laser arrays; Target tracking; Technological innovation; Vehicle detection; Vehicle safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicle Symposium, 2002. IEEE
Print_ISBN :
0-7803-7346-4
Type :
conf
DOI :
10.1109/IVS.2002.1187923
Filename :
1187923
Link To Document :
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