Fast dynamic object extraction using stereovision based on Occupancy Grid Maps and optical flow

Author

Suganuma, N. ; Kubo, T.

Author_Institution

Inst. of Sci. & Technol., Kanazawa Univ., Ishikawa, Japan

fYear

2011

fDate

3-7 July 2011

Firstpage

978

Lastpage

983

Abstract

The driving support system is most important research areas in intelligent transport system (ITS). Moreover, obstacle detection is one of the key technologies, and we have proposed such system based on stereovision system. Additionally, to assist driving safely, it is necessary to extract dynamic objects and alert driver faster. In our previous report, we proposed dynamic objects extraction method based on Occupancy Grid Maps. However we found that it takes a long time to detect it. So, in this paper, we propose a method to analyze motion of dynamic objects used 6D information comprised of 3D position and motion of objects, and extract the dynamic objects faster.

Keywords

feature extraction; image sequences; stereo image processing; traffic engineering computing; visual perception; 3D motion; 3D position; 6D information; driving support system; dynamic object extraction method; intelligent transport system; obstacle detection; occupancy grid maps; optical flow; stereovision system; Dynamics; Feature extraction; Image motion analysis; Kalman filters; Optical filters; Vehicle dynamics; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Intelligent Mechatronics (AIM), 2011 IEEE/ASME International Conference on

Conference_Location

Budapest

ISSN

2159-6247

Print_ISBN

978-1-4577-0838-1

Type

conf

DOI

10.1109/AIM.2011.6027025

Filename

6027025