Low Complexity Multi-Target Tracking with Applications to Automotive Radars

碩士 === 國立交通大學 === 電信工程研究所 === 102 === Adopting the IMM-JPDA technique in automotive radar tracking systems can improve the performance in automotive environments. In this thesis, a low complexity multi-target tracking algorithm is proposed. Compared to the IMM-JPDA algorithm, the proposed algorithm...

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Main Authors: Huang, Jui-Heng, 黃瑞珩
Other Authors: Lee, Ta-Sung
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/37740487530853535146
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spelling ndltd-TW-102NCTU54350452016-05-22T04:33:54Z http://ndltd.ncl.edu.tw/handle/37740487530853535146 Low Complexity Multi-Target Tracking with Applications to Automotive Radars 低複雜度多目標追蹤法及其在汽車雷達之應用 Huang, Jui-Heng 黃瑞珩 碩士 國立交通大學 電信工程研究所 102 Adopting the IMM-JPDA technique in automotive radar tracking systems can improve the performance in automotive environments. In this thesis, a low complexity multi-target tracking algorithm is proposed. Compared to the IMM-JPDA algorithm, the proposed algorithm substantially reduces the generation of feasible event matrices and simplifies the equation of marginal association event probability. To take the track initialization and termination into consideration, we propose a track management method which provides recording parameters to the targets in FOV and regards the life of track as a birth-death process. To further improve the performance of the proposed tracking algorithm, we also propose a false measurement deletion method for protecting the true target. Finally, computer simulation results are included to confirm the effectiveness of the proposed method. Lee, Ta-Sung Hsiao, Te-Sheng 李大嵩 蕭得聖 2013 學位論文 ; thesis 66 en_US
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language en_US
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description 碩士 === 國立交通大學 === 電信工程研究所 === 102 === Adopting the IMM-JPDA technique in automotive radar tracking systems can improve the performance in automotive environments. In this thesis, a low complexity multi-target tracking algorithm is proposed. Compared to the IMM-JPDA algorithm, the proposed algorithm substantially reduces the generation of feasible event matrices and simplifies the equation of marginal association event probability. To take the track initialization and termination into consideration, we propose a track management method which provides recording parameters to the targets in FOV and regards the life of track as a birth-death process. To further improve the performance of the proposed tracking algorithm, we also propose a false measurement deletion method for protecting the true target. Finally, computer simulation results are included to confirm the effectiveness of the proposed method.
author2 Lee, Ta-Sung
author_facet Lee, Ta-Sung
Huang, Jui-Heng
黃瑞珩
author Huang, Jui-Heng
黃瑞珩
spellingShingle Huang, Jui-Heng
黃瑞珩
Low Complexity Multi-Target Tracking with Applications to Automotive Radars
author_sort Huang, Jui-Heng
title Low Complexity Multi-Target Tracking with Applications to Automotive Radars
title_short Low Complexity Multi-Target Tracking with Applications to Automotive Radars
title_full Low Complexity Multi-Target Tracking with Applications to Automotive Radars
title_fullStr Low Complexity Multi-Target Tracking with Applications to Automotive Radars
title_full_unstemmed Low Complexity Multi-Target Tracking with Applications to Automotive Radars
title_sort low complexity multi-target tracking with applications to automotive radars
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/37740487530853535146
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