A Collaborative Sensor Fusion Algorithm for Multi-object Tracking Using a Gaussian Mixture Probability Hypothesis Density Filter

Research article (2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015) · cited 33× · AI/ML
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A Collaborative Sensor Fusion Algorithm for Multi-object Tracking Using a Gaussian Mixture Probability Hypothesis Density Filter

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A Collaborative Sensor Fusion Algorithm for Multi-object Tracking Using a Gaussian Mixture Probability Hypothesis Density Filter is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Collaborative Sensor Fusion Algorithm for Multi-object Tracking Using a Gaussian Mixture Probability Hypothesis Density Filter. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-collaborative-sensor-fusion-algorithm-for-multi-object-tracking-using-a-gaussian-mixture-probability-hypothesis-densit
MLA “A Collaborative Sensor Fusion Algorithm for Multi-object Tracking Using a Gaussian Mixture Probability Hypothesis Density Filter.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-collaborative-sensor-fusion-algorithm-for-multi-object-tracking-using-a-gaussian-mixture-probability-hypothesis-densit.
BibTeX @misc{4ortxyz_a-collaborative-sensor-fusion-algorithm-for-multi-object-tracking-using-a-gaussian-mixture-probability-hypothesis-densit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Collaborative Sensor Fusion Algorithm for Multi-object Tracking Using a Gaussian Mixture Probability Hypothesis Density Filter}}, year = {2026}, url = {https://4ort.xyz/entity/a-collaborative-sensor-fusion-algorithm-for-multi-object-tracking-using-a-gaussian-mixture-probability-hypothesis-densit}, note = {Accessed: 2026-05-24}}
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