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RFCM for Data Association and Multitarget Tracking Using 3D Radar

Abstract: 

erformance of object classification using 3D automotive radar relies on accurate data association and multitarget tracking, which are greatly affected by data bias and proximity of objects to each other. A regularized fuzzy c-means (RFCM) algorithm is proposed herein to resolve the data association uncertainty problem that has shown to outperform the conventional FCM algorithm. The proposed method exploits results from the companion tracker to increase performance robustness. Simulation results using simulated and field data have proven the efficacy of the proposed method.

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Paper Details

Authors:
Chun-Nien Chan, Carrson C. Fung
Submitted On:
13 April 2018 - 11:39am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Chun-Nien Chan, Carrson C. Fung
Paper Code:
2401
Document Year:
2018
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Document Files

ICASSP 2018 poster

(112)

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[1] Chun-Nien Chan, Carrson C. Fung, "RFCM for Data Association and Multitarget Tracking Using 3D Radar", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2721. Accessed: Jul. 21, 2019.
@article{2721-18,
url = {http://sigport.org/2721},
author = {Chun-Nien Chan; Carrson C. Fung },
publisher = {IEEE SigPort},
title = {RFCM for Data Association and Multitarget Tracking Using 3D Radar},
year = {2018} }
TY - EJOUR
T1 - RFCM for Data Association and Multitarget Tracking Using 3D Radar
AU - Chun-Nien Chan; Carrson C. Fung
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2721
ER -
Chun-Nien Chan, Carrson C. Fung. (2018). RFCM for Data Association and Multitarget Tracking Using 3D Radar. IEEE SigPort. http://sigport.org/2721
Chun-Nien Chan, Carrson C. Fung, 2018. RFCM for Data Association and Multitarget Tracking Using 3D Radar. Available at: http://sigport.org/2721.
Chun-Nien Chan, Carrson C. Fung. (2018). "RFCM for Data Association and Multitarget Tracking Using 3D Radar." Web.
1. Chun-Nien Chan, Carrson C. Fung. RFCM for Data Association and Multitarget Tracking Using 3D Radar [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2721