Title :
Sensor system blockage detection for night time headlight control based on camera and radar sensor information
Author :
Gavriilidis, Alexandros ; Muller, Dirk ; Muller-Schneiders, Stefan ; Velten, Jörg ; Kummert, Anton
Author_Institution :
Fac. of Electr. Eng. & Media Technol., Univ. of Wuppertal, Wuppertal, Germany
Abstract :
Driver assistance systems support overstrained and affected drivers and become more and more essential for series-production vehicles. In this paper a procedure for detection of a misaligned or blocked sensor system, including a radar and a camera sensor, will be introduced. It is important to inform the driver if an automatic headlight control is working reliable, in other words without limitations caused by external influence (e.g. dirt on the windscreen). The blockage detection algorithm is based on the fusion result of electronic radar measurements and a vision based head- and taillight detection algorithm. Results of the blockage detection algorithm are evaluated on misaligned measurements and online in a vehicle test system.
Keywords :
driver information systems; image fusion; image sensors; object detection; radar; automatic headlight control; blockage detection algorithm; camera sensor; driver assistance systems; electronic radar measurements; night time headlight control; radar sensor information; sensor system blockage detection; series-production vehicles; vehicle test system; vision based head detection algorithm; vision based taillight detection algorithm; Detection algorithms; Histograms; Radar detection; Radar measurements; Sensor systems; Vehicles;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4673-3064-0
Electronic_ISBN :
2153-0009
DOI :
10.1109/ITSC.2012.6338854