DocumentCode :
3681822
Title :
A Comparison Study on Vehicle Detection in Far Infrared and Regular Images
Author :
Savastürk;Bjoern Froehlich;Nicolai Schneider;Markus Enzweiler;Uwe Franke
Author_Institution :
Environ. Perception, Team Image Understanding, Sindelfingen, Germany
fYear :
2015
Firstpage :
1595
Lastpage :
1600
Abstract :
Robust knowledge about other vehicles around the ego-vehicle is fundamental for most advanced driver assistance systems. Typically, this task is solved by radar, lidar, mono or stereo camera systems. To get a higher accuracy, a combination of multiple sensors is proposed in this work. Infrared cameras are already available in many passenger cars, mainly for night vision purposes, e.g. detecting pedestrians or animals on the road. In this paper, we analyze the benefit of combining stereo-vision in the visible domain with monocular vision in infrared images. We use the task of vehicle detection as an experimental setting. In extensive experiments involving more than eight hours of driving, we demonstrate that the additional detection of vehicles in infrared images significantly improves the overall integrated system performance.
Keywords :
"Vehicles","Vehicle detection","Cameras","Sensor fusion","Image resolution","Image sensors"
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
ISSN :
2153-0009
Electronic_ISBN :
2153-0017
Type :
conf
DOI :
10.1109/ITSC.2015.260
Filename :
7313352
Link To Document :
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