Vehicle detection based on probability hypothesis density filter
10.3390/s16040510
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sg-nus-scholar.10635-1795832024-04-04T02:31:57Z Vehicle detection based on probability hypothesis density filter Zhang, F Knoll, A MECHANICAL ENGINEERING Bandpass filters Object detection Optical radar Complex environments Hypothesis generation Hypothesis verifications Probability hypothesis density filter Regions of interest State of the art Vehicle detection Vision technique Vehicles 10.3390/s16040510 Sensors (Switzerland) 16 4 510 2020-10-23T07:56:33Z 2020-10-23T07:56:33Z 2016 Article Zhang, F, Knoll, A (2016). Vehicle detection based on probability hypothesis density filter. Sensors (Switzerland) 16 (4) : 510. ScholarBank@NUS Repository. https://doi.org/10.3390/s16040510 1424-8220 https://scholarbank.nus.edu.sg/handle/10635/179583 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ MDPI AG Unpaywall 20201031 |
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Bandpass filters Object detection Optical radar Complex environments Hypothesis generation Hypothesis verifications Probability hypothesis density filter Regions of interest State of the art Vehicle detection Vision technique Vehicles |
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Bandpass filters Object detection Optical radar Complex environments Hypothesis generation Hypothesis verifications Probability hypothesis density filter Regions of interest State of the art Vehicle detection Vision technique Vehicles Zhang, F Knoll, A Vehicle detection based on probability hypothesis density filter |
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10.3390/s16040510 |
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MECHANICAL ENGINEERING |
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MECHANICAL ENGINEERING Zhang, F Knoll, A |
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Article |
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Zhang, F Knoll, A |
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Zhang, F |
title |
Vehicle detection based on probability hypothesis density filter |
title_short |
Vehicle detection based on probability hypothesis density filter |
title_full |
Vehicle detection based on probability hypothesis density filter |
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Vehicle detection based on probability hypothesis density filter |
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Vehicle detection based on probability hypothesis density filter |
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vehicle detection based on probability hypothesis density filter |
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MDPI AG |
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2020 |
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https://scholarbank.nus.edu.sg/handle/10635/179583 |
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