Title :
Enhanced iron-tunnel recognition for automotive radars
Author :
Jae-Eun Lee ; Hae-Seung Lim ; Seong-Hee Jeong ; Seong-Cheol Kim ; Young-Seok Choi ; Hyun-Chool Shin
Author_Institution :
Mando Corp., Seongnam, South Korea
Abstract :
In this paper, we propose a novel iron-tunnel recognition method to overcome the deterioration of the target or vehicle detection performance due to iron tunnel clutters. The proposed method measures the degree of spectral spreading through the analysis of the spectrum characteristics of the received radar signal under different road conditions. The proposed method can successfully detect iron tunnels.
Keywords :
image enhancement; image recognition; object detection; radar clutter; radar detection; radar imaging; road vehicle radar; tunnels; automotive radar; degree of spectral spreading measure; iron tunnel clutter; iron tunnel detection; iron tunnel recognition enhancement; received radar signal spectrum characteristics analysis; road conditions; target detection performance deterioration; vehicle detection performance deterioration; Iron; Radar; Roads; Standards; Time-frequency analysis; Vehicles;
Conference_Titel :
Radar Symposium (IRS), 2015 16th International
Conference_Location :
Dresden
DOI :
10.1109/IRS.2015.7226319
