NDLI: A complete U-V-disparity study for stereovision based 3D driving environment analysis

Content Provider	IEEE Xplore Digital Library
Author	Zhencheng Hu Lamosa, F. Uchimura, K.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Kumamoto Univ., Japan (Zhencheng Hu)
Abstract	Reliable understanding of the 3D driving environment is vital for obstacle detection and adaptive cruise control (ACC) applications. Laser or millimeter wave radars have shown good performance in measuring relative speed and distance in a highway driving environment. However the accuracy of these systems decreases in an urban traffic environment as more confusion occurs due to factors such as parked vehicles, guardrails, poles and motorcycles. A stereovision based sensing system provides an effective supplement to radar-based road scene analysis with its much wider field of view and more accurate lateral information. This paper presents an efficient solution using a stereovision based road scene analysis algorithm which employs the "U-V-disparity" concept. This concept is used to classify a 3D road scene into relative surface planes and characterize the features of road pavement surfaces, roadside structures and obstacles. Real-time implementation of the disparity map calculation and the "U-V-disparity" classification is also presented.
Starting Page	204
Ending Page	211
File Size	1139366
Page Count	8
File Format	PDF
ISBN	0769523277
ISSN	15506185
DOI	10.1109/3DIM.2005.6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Roads Laser radar Millimeter wave measurements Image analysis Radar detection Programmable control Adaptive control Laser applications Millimeter wave radar Radar measurements
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

U-V-disparity: an efficient algorithm for stereovision based scene analysis

Advance Path Measurement for Automotive Radar Applications

A novel stereovision algorithm for obstacles detection based on U-V-disparity approach

Road Scene Analysis by Stereovision: a Robust and Quasi-Dense Approach

Driving environment perception using stereovision

Fast obstacle detection using U-disparity maps with stereo vision

Motion detection in driving environment using u-v-disparity.

Study on image processing approach based on passive 3-millimeter-wave

On-road Obstacle Detection based on Stereovision Analysis

A complete U-V-disparity study for stereovision based 3D driving environment analysis

Similar Documents

U-V-disparity: an efficient algorithm for stereovision based scene analysis

Advance Path Measurement for Automotive Radar Applications

A novel stereovision algorithm for obstacles detection based on U-V-disparity approach

Road Scene Analysis by Stereovision: a Robust and Quasi-Dense Approach

Driving environment perception using stereovision

Fast obstacle detection using U-disparity maps with stereo vision

Motion detection in driving environment using u-v-disparity.

Study on image processing approach based on passive 3-millimeter-wave

On-road Obstacle Detection based on Stereovision Analysis

A complete U-V-disparity study for stereovision based 3D driving environment analysis