|標題:||RFCM FOR DATA ASSOCIATION AND MULTITARGET TRACKING USING 3D RADAR|
Fung, Carrson C.
Department of Electronics Engineering and Institute of Electronics
|關鍵字:||Autonomous driving;ADAS;data association;multitarget tracking;regularized fuzzy c-means|
|摘要:||Performance 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.|
|期刊:||2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)|
|Appears in Collections:||Conferences Paper|