Cited 0 time in webofscience Cited 0 time in scopus

Dense stereo-based real-Time ROI generation for on-road obstacle detection

Title
Dense stereo-based real-Time ROI generation for on-road obstacle detection
Authors
Kwon, SoonLee, Hyuk-Jae
DGIST Authors
Kwon, Soon
Issue Date
2016
Citation
13th International SoC Design Conference, ISOCC 2016, 179-180
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
Abstract
The use of 3D visual information has become widespread as an essential cue for detecting on-road obstacles in ADAS. In this paper, we propose an accurate dense-stereo-based system for the generation of on-road obstacle ROIs. To balance the concerns of computation overhead and algorithm accuracy, this paper presents an efficient depth map generation that combines global stereo matching with depth up-sampling. The entire system has been implemented with a hardware and software partitioning method running on an FPGA and embedded CPU for real-Time processing. The implementation results verify that the proposed stereo vision system efficiently outputs accurate ROI candidates for on-road obstacle detection. © 2016 IEEE.
URI
http://hdl.handle.net/20.500.11750/3639
DOI
10.1109/ISOCC.2016.7799840
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
Files:
There are no files associated with this item.
Collection:
ETC2. Conference Papers


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE