Vehicle detection and classification in the Scala sensor by using binary classification

Minho Cho, Baehoon Choi, Jhonghyun An, Euntai Kim

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

Abstract

In this paper, we present approach for the detection and classification of multiple vehicles using a vehicle mounted laser scanner. The sensor, which is placed in front of the vehicle, is Scala 1403 and its characteristic is that it scans data twice -upper and lower direction- in one period. Consequently, it is difficult to detect and classify vehicles continuously. For solving this problem, another method for classification is needed. In this paper, binary classification is proposed for classification of Scala sensor. It can show better classification result than by using SVM (support vector machine) in case of occlusions. Experimental results carried out with laser range data illustrate the robustness of our approach.

Original languageEnglish
Title of host publicationICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2022-2025
Number of pages4
ISBN (Electronic)9788993215090
DOIs
Publication statusPublished - 2015 Dec 23
Event15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of
Duration: 2015 Oct 132015 Oct 16

Publication series

NameICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings

Other

Other15th International Conference on Control, Automation and Systems, ICCAS 2015
CountryKorea, Republic of
CityBusan
Period15/10/1315/10/16

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology. (NRF-2013RIA2A2AOIOI5624)

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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