Passive Vision Region-Based Road Detection-Reference-Cited by-同舟云学术

Passive Vision Region-Based Road Detection

Published:2020-03-31 Issue:2 Volume:52 Page:1-34
ISSN:0360-0300
Container-title:ACM Computing Surveys
language:en
Short-container-title:ACM Comput. Surv.

Author:

Rateke Thiago¹^ORCID,Justen Karla A.²,Chiarella Vito F.³,Sobieranski Antonio C.⁴,Comunello Eros⁵,Wangenheim Aldo Von⁶

Affiliation:

1. Graduate Program in Computer Science (PPGCC), Federal University of Santa Catarina and Image Processing and Computer Graphics Lab, Brazilian Institute for Digital Convergence

2. Image Processing and Computer Graphics Lab, Brazilian Institute for Digital Convergence and Federal University of Santa Catarina

3. Graduate Program in Materials Science and Engineering Program, Federal University of Santa Catarina

4. Department of Computing - Federal University of Santa Catarina, Ararangua, Brazil and Image Processing and Computer Graphics Lab, Brazilian Institute for Digital Convergence

5. Master in Applied Computing (MCA), University of Itajaí Valley

6. Graduate Program in Computer Science (PPGCC), Image Processing and Computer Graphics Lab, Brazilian Institute for Digital Convergence, Federal University of Santa Catarina

Abstract

We present a literature review to analyze the state of the art in the area of road detection based upon frontal images. For this purpose, a systematic literature review (SLR) was conducted that focuses on analyzing region-based works, since they can adapt to different surface types and do not depend on road geometry or lane markings. Through the comprehensive study of publications in a 11-year time frame, we analyze the methods that are being used, on which types of surface they are applied, whether they are adaptive in relation to surface changes, and whether they are able to distinguish possible faults or changes in the road, such as potholes, shadows, and puddles.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil

CAPES [Brazilian Federal Agency for Support and Evaluation of Graduate Education]-Finance Code 001

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3311951

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