DocumentCode :
2011408
Title :
Detection and motion estimation of moving objects based on 3D-warping
Author :
Kastner, Robert ; Kühnl, Tobias ; Fritsch, Jannik ; Goerick, Christian
Author_Institution :
Honda R&D Eur. (Deutschland) GmbH, Offenbach, Germany
fYear :
2011
fDate :
5-9 June 2011
Firstpage :
48
Lastpage :
53
Abstract :
The detection of objects in the surrounding environment is a key functionality for every Advanced Driver Assistance System (ADAS). Otherwise, it is impossible to realize any kind of advanced assistance functionality as e.g. a Forward Collision Warning. Besides static obstacles that limit the drivable area, dynamic objects can even be more dangerous due to their ego-movement. Therefore, a detection and also motion estimation of moving objects in the surrounding is essential for every ADAS. In this contribution we present a novel way to detect moving objects only with 3D-measurements of the current surrounding environment that we called 3D-Warping. But we are not only able to detect but also to provide the direction and speed of moving objects in world coordinates. The method is generic and can be applied on any kind of depth sensor, as e.g. a stereo-camera, time-of-flight, and 3D-laser scanner.
Keywords :
cameras; driver information systems; image segmentation; motion estimation; optical scanners; 3D-laser scanner; 3D-warping; advanced driver assistance system; depth sensor; forward collision warning; moving object detection; moving object motion estimation; stereo camera; time-of-flight sensor; Cameras; Current measurement; Feature extraction; Image segmentation; Motion segmentation; Silicon; Three dimensional displays; driver assistance; moving object detection; object motion estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2011 IEEE
Conference_Location :
Baden-Baden
ISSN :
1931-0587
Print_ISBN :
978-1-4577-0890-9
Type :
conf
DOI :
10.1109/IVS.2011.5940401
Filename :
5940401
Link To Document :
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