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http://dx.doi.org/10.12815/kits.2017.16.2.105

Implementation and Evaluation of Multiple Target Algorithm for Automotive Radar Sensor  

Ryu, In-hwan (Dept. of Computer Science and Information Engineering, Inha Univ.)
Won, In-Su (Institute for Information and Electronics Research, Inha Univ.)
Kwon, Jang-Woo (Dept. of Computer Science and Information Engineering, Inha Univ.)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.2, 2017 , pp. 105-115 More about this Journal
Abstract
Conventional traffic detection sensors such as loop detectors and image sensors are expensive to install and maintain and require different detection algorithms depending on the night and day and have a disadvantage that the detection rate varies widely depending on the weather. On the other hand, the millimeter-wave radar is not affected by bad weather and can obtain constant detection performance regardless of day or night. In addition, there is no need for blocking trafficl for installation and maintenance, and multiple vehicles can be detected at the same time. In this study, a multi-target detection algorithm for a radar sensor with this advantage was devised / implemented by applying a conventional single target detection algorithm. We performed the evaluation and the meaningful results were obtained.
Keywords
multi-target tracking; vehicle detection; speeding detection; radar sensor; intelligent transport system;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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