DocumentCode :
2538704
Title :
Hierarchical framework for direct gradient-based time-to-contact estimation
Author :
Horn, Berthold K. P. ; Fang, Yajun ; Masaki, Ichiro
Author_Institution :
Electr. Eng. & Comput. Sci. Dept., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2009
fDate :
3-5 June 2009
Firstpage :
1394
Lastpage :
1400
Abstract :
The time-to-contact (TTC) estimation is a simple and convenient way to detect approaching objects, potential danger, and to analyze surrounding environment. TTC can be estimated directly from single camera though neither distance nor speed information can be estimated with single cameras. Traditional TTC estimation depends on ldquointeresting feature pointsrdquo or object boundaries, which is noisy and time consuming. In, we propose a direct ldquogradient-basedrdquo method to compute time-to-contact in three special cases that avoid feature points/lines and can take advantages of all related pixels for better computation. In this follow-up paper, we discuss the method to deal with the most general cases and propose a hierarchical fusion framework for direct gradient-based time-to-contact estimation. The new method enhances accuracy, robustness and is computationally efficient, which is important to provide fast response for vehicle applications.
Keywords :
gradient methods; motion estimation; traffic engineering computing; direct gradient-based method; hierarchical fusion framework; time-to-contact estimation; vehicle; Cameras; Differential equations; Focusing; Image motion analysis; Image sensors; Intelligent sensors; Object detection; Optical sensors; Robustness; Working environment noise;
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.2009.5164489
Filename :
5164489
Link To Document :
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