NDLI: The New Estimation Method of Collision Possibility of Approaching Object by Using Fuzzy Inference with Image Features

Content Provider	IEEE Xplore Digital Library
Author	Iwasaki, M. Yamakawa, T.
Copyright Year	2006
Description	Author affiliation: Life Sci. & Syst. Eng., Kyushu Inst. of Technol., Kitakyushu (Iwasaki, M.; Yamakawa, T.)
Abstract	Time-to-collision (TTC) is an indicator for collision avoidance which takes into account the relative velocity of a subject and an object which concerns the subject. The most common approach for estimating TTC is to employ optical flow. However, this method takes a huge processing time. In this paper, we propose a new estimation algorithm to extract the collision possibility of an approaching object. Then, it is eventually used for collision avoidance. With this new algorithm, TTC can be robustly and real-timely obtained by processing simple information from a moving object. The necessary information is the number of active blocks and the changes in that number, and the changes in the center position of the actives blocks. Using this information, the collision possibility is then estimated by fuzzy inference where if the collision possibility is large, TTC is estimated and used for collision avoidance. The effectiveness of the proposed method is confirmed by several computer simulations employing images with dynamic scenes
Sponsorship	IEEE ICIC Int. National Natural Sci. Found. of China Beijing Jiaotong Univ. Kaosiung Univ. of Appl. Sci
Starting Page	297
Ending Page	300
File Size	254406
Page Count	4
File Format	PDF
ISBN	0769526160
DOI	10.1109/ICICIC.2006.367
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image motion analysis Layout Object detection Robot sensing systems Systems engineering and theory Inference algorithms Optical sensors Collision avoidance High speed optical techniques Fuzzy systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Estimation of optical-flow in real time for navigation robots

Collision avoidance using artificial retina sensor in ALV

Omnidirectional imaging and optical flow

Active sensor fusion for collision avoidance

Real-time motion intention estimation based using surface electromyography for collision avoidance

Reactive visual navigation based on omnidirectional sensing-path following and collision avoidance

3D motion detection and estimation using optic flow computation

Study on direct perception of collision avoidance mediated by brightness differences

Detection of a human approaching to maintain a safety in human-robot cooperation

The New Estimation Method of Collision Possibility of Approaching Object by Using Fuzzy Inference with Image Features

Similar Documents

Estimation of optical-flow in real time for navigation robots

Collision avoidance using artificial retina sensor in ALV

Omnidirectional imaging and optical flow

Active sensor fusion for collision avoidance

Real-time motion intention estimation based using surface electromyography for collision avoidance

Reactive visual navigation based on omnidirectional sensing-path following and collision avoidance

3D motion detection and estimation using optic flow computation

Study on direct perception of collision avoidance mediated by brightness differences

Detection of a human approaching to maintain a safety in human-robot cooperation

The New Estimation Method of Collision Possibility of Approaching Object by Using Fuzzy Inference with Image Features