Cited 9 time in webofscience Cited 11 time in scopus

On the Deployment and Noise Filtering of Vehicular Radar Application for Detection Enhancement in Roads and Tunnels

Title
On the Deployment and Noise Filtering of Vehicular Radar Application for Detection Enhancement in Roads and Tunnels
Authors
Kim, Young DukSon, Guk JinSong, Chan HoKim, Hee Kang
DGIST Authors
Kim, Young Duk; Son, Guk Jin; Song, Chan Ho; Kim, Hee Kang
Issue Date
2018-03
Citation
Sensors, 18(3), 837
Type
Article
Article Type
Article
ISSN
1424-8220
Abstract
Recently, radar technology has attracted attention for the realization of an intelligent transportation system (ITS) to monitor, track, and manage vehicle traffic on the roads as well as adaptive cruise control (ACC) and automatic emergency braking (AEB) for driving assistance of vehicles. However, when radar is installed on roads or in tunnels, the detection performance is significantly dependent on the deployment conditions and environment around the radar. In particular, in the case of tunnels, the detection accuracy for a moving vehicle drops sharply owing to the diffuse reflection of radio frequency (RF) signals. In this paper, we propose an optimal deployment condition based on height and tilt angle as well as a noise-filtering scheme for RF signals so that the performance of vehicle detection can be robust against external conditions on roads and in tunnels. To this end, first, we gather and analyze the misrecognition patterns of the radar by tracking a number of randomly selected vehicles on real roads. In order to overcome the limitations, we implement a novel road watch module (RWM) that is easily integrated into a conventional radar system such as Delphi ESR. The proposed system is able to perform real-time distributed data processing of the target vehicles by providing independent queues for each object of information that is incoming from the radar RF. Based on experiments with real roads and tunnels, the proposed scheme shows better performance than the conventional method with respect to the detection accuracy and delay time. The implemented system also provides a user-friendly interface to monitor and manage all traffic on roads and in tunnels. This will accelerate the popularization of future ITS services. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/6401
DOI
10.3390/s18030837
Publisher
MDPI AG
Related Researcher
  • Author Kim, Youngduk  
  • Research Interests IoT, Disaster Respnse, Autonomous System
Files:
Collection:
Division of Automotive Technology1. Journal Articles
Convergence Research Center for Future Automotive Technology1. Journal Articles


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE