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Road Curb Detection: A Historical Survey

Sensors (Basel, Switzerland), 2021-10, Vol.21 (21), p.6952 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21216952 ;PMID: 34770257

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  • Title:
    Road Curb Detection: A Historical Survey
  • Author: Romero, Lucero M. ; Guerrero, Jose A. ; Romero, Gerardo
  • Subjects: Accuracy ; Algorithms ; Autonomous navigation ; Autonomous vehicles ; classification-based curb detection ; Clouds ; feature-based curb detection ; Lasers ; Neural networks ; Noise ; Review ; road curb detection ; Sensors ; Urban environments ; Vision systems
  • Is Part Of: Sensors (Basel, Switzerland), 2021-10, Vol.21 (21), p.6952
  • Description: Curbs are used as physical markers to delimit roads and to redirect traffic into multiple directions (e.g., islands and roundabouts). Detection of road curbs is a fundamental task for autonomous vehicle navigation in urban environments. Since almost two decades, solutions that use various types of sensors, including vision, Light Detection and Ranging (LiDAR) sensors, among others, have emerged to address the curb detection problem. This survey elaborates on the advances of road curb detection problems, a research field that has grown over the last two decades and continues to be the ground for new theoretical and applied developments. We identify the tasks involved in the road curb detection methods and their applications on autonomous vehicle navigation and advanced driver assistance system (ADAS). Finally, we present an analysis on the similarities and differences of the wide variety of contributions.
  • Publisher: Basel: MDPI AG
  • Language: English
  • Identifier: ISSN: 1424-8220
    EISSN: 1424-8220
    DOI: 10.3390/s21216952
    PMID: 34770257
  • Source: GFMER Free Medical Journals
    PubMed Central
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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