Detecting Change in the Urban Road Environment Along a Route Based on Traffic Sign and Crossroad Data

Zoltán Fazekas, Gábor Balázs, László Gerencsér, P. Gáspár

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Occurrences of traffic signs that belong to certain sign categories and occurrences of crossroads of various topologies are utilized in detecting change in the urban road environment that moves past an ego-car. Three urban environment types, namely downtown, residential and industrial/commercial areas, are considered in the study and changes between these are to be detected. In the preparatory phase, the ego-car is used for traffic sign and crossroads data collection. In the application phase, the ego-car hosts an advanced driver assistance system (ADAS) that captures and analyzes images of the road environment and computes the required input data to the proposed road environment detection (RoED) subsystem. A statistical inference method relying on the minimum description length (MDL) principle was applied to the change detection problem at hand. The above occurrences along a route are seen as a realization of an inhomogeneous marked Poisson process. Page-Hinkley change detectors tuned to empirical data were set to work to detect change in the urban road environment. The process and the quality of the change detection are demonstrated via examples from three urban settlements in Hungary.

Original languageEnglish
Title of host publicationIntelligent Transport Systems – From Research and Development to the Market Uptake - 1st International Conference, INTSYS 2017,Proceedings
PublisherSpringer Verlag
Pages252-262
Number of pages11
ISBN (Print)9783319937090
DOIs
Publication statusPublished - Jan 1 2018
Event1st International Conference on Intelligent Transport Systems, INTSYS 2017 - Hyvinkaa, Finland
Duration: Nov 29 2017Nov 30 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume222
ISSN (Print)1867-8211

Other

Other1st International Conference on Intelligent Transport Systems, INTSYS 2017
CountryFinland
CityHyvinkaa
Period11/29/1711/30/17

Fingerprint

Traffic signs
Railroad cars
Advanced driver assistance systems
Topology
Detectors

Keywords

  • Advanced driver assistance systems
  • Detection of road environment
  • Marked poisson point process
  • Page-Hinkley detectors
  • Statistical change detection
  • The minimum description length principle
  • Traffic sign recognition systems
  • Urban environment types

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Fazekas, Z., Balázs, G., Gerencsér, L., & Gáspár, P. (2018). Detecting Change in the Urban Road Environment Along a Route Based on Traffic Sign and Crossroad Data. In Intelligent Transport Systems – From Research and Development to the Market Uptake - 1st International Conference, INTSYS 2017,Proceedings (pp. 252-262). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 222). Springer Verlag. https://doi.org/10.1007/978-3-319-93710-6_26

Detecting Change in the Urban Road Environment Along a Route Based on Traffic Sign and Crossroad Data. / Fazekas, Zoltán; Balázs, Gábor; Gerencsér, László; Gáspár, P.

Intelligent Transport Systems – From Research and Development to the Market Uptake - 1st International Conference, INTSYS 2017,Proceedings. Springer Verlag, 2018. p. 252-262 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 222).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fazekas, Z, Balázs, G, Gerencsér, L & Gáspár, P 2018, Detecting Change in the Urban Road Environment Along a Route Based on Traffic Sign and Crossroad Data. in Intelligent Transport Systems – From Research and Development to the Market Uptake - 1st International Conference, INTSYS 2017,Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 222, Springer Verlag, pp. 252-262, 1st International Conference on Intelligent Transport Systems, INTSYS 2017, Hyvinkaa, Finland, 11/29/17. https://doi.org/10.1007/978-3-319-93710-6_26
Fazekas Z, Balázs G, Gerencsér L, Gáspár P. Detecting Change in the Urban Road Environment Along a Route Based on Traffic Sign and Crossroad Data. In Intelligent Transport Systems – From Research and Development to the Market Uptake - 1st International Conference, INTSYS 2017,Proceedings. Springer Verlag. 2018. p. 252-262. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). https://doi.org/10.1007/978-3-319-93710-6_26
Fazekas, Zoltán ; Balázs, Gábor ; Gerencsér, László ; Gáspár, P. / Detecting Change in the Urban Road Environment Along a Route Based on Traffic Sign and Crossroad Data. Intelligent Transport Systems – From Research and Development to the Market Uptake - 1st International Conference, INTSYS 2017,Proceedings. Springer Verlag, 2018. pp. 252-262 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).
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