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Land transport / Traffic signs / Road transport / Street furniture / Segmentation / Histogram of oriented gradients / Edge detection / Signage / Warning sign / Transport / Computer vision / Image processing


Aalborg Universitet Vision based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems Møgelmose, Andreas; Trivedi, Mohan M.; Moeslund, Thomas B. Published in:
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Document Date: 2013-01-14 04:34:00


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File Size: 2,16 MB

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City

La Jolla / /

Company

Robotics Research Laboratory / Neural Networks / Intelligent Driver Assistance Systems / American standard / Intelligent Transportation Systems / People Laboratory / /

Continent

Europe / /

Country

Puerto Rico / Japan / United States / New Zealand / /

Currency

USD / /

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Facility

Aalborg University / University of California / /

IndustryTerm

detection systems / human-centered driver assistance systems / color-based search method / On-road applications / public portal / speed limit detection systems / ego car / iterative search method / autonomous car / sign detection solution / computing / vehicle systems / search space / well-defined applications / in-car video cameras / interest-region-finding algorithm / typical sign detection algorithms / /

MarketIndex

TSR / German Traffic Sign Recognition / /

Organization

Aalborg University / University of California / San Diego / /

Person

Survey Andreas Møgelmose / Mohan Manubhai Trivedi / Thomas B. Published / /

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Position

author / driver / INTELLIGENT DRIVER / General / Editor for this paper was J. Stallkamp / /

Product

Nokia E55 Smartphone / /

ProvinceOrState

District of Columbia / California / /

Technology

typical sign detection algorithms / machine vision / interest-region-finding algorithm / machine learning / Digital Object Identifier / pdf / /

URL

http /

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