Citation

Bernaś M, Płaczek B, Korski W, Loska P, Smyła J, Szymała P. Sensors (Basel) 2018; 18(10): s18103243.

Affiliation

Institute of Innovative Technologies EMAG, 40-189 Katowice, Poland. Piotr.Szymala@ibemag.pl.

Copyright

(Copyright © 2018, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s18103243

PMID

30261665

Abstract

This paper reviews low-cost vehicle and pedestrian detection methods and compares their accuracy. The main goal of this survey is to summarize the progress achieved to date and to help identify the sensing technologies that provide high detection accuracy and meet requirements related to cost and ease of installation. Special attention is paid to wireless battery-powered detectors of small dimensions that can be quickly and effortlessly installed alongside traffic lanes (on the side of a road or on a curb) without any additional supporting structures. The comparison of detection methods presented in this paper is based on results of experiments that were conducted with a variety of sensors in a wide range of configurations. During experiments various sensor sets were analyzed. It was shown that the detection accuracy can be significantly improved by fusing data from appropriately selected set of sensors. The experimental results reveal that accurate vehicle detection can be achieved by using sets of passive sensors. Application of active sensors was necessary to obtain satisfactory results in case of pedestrian detection.

Language: en

Keywords

intelligent transport systems; low-cost sensors; machine learning; pedestrian detection; sensor fusion; vehicle detection