Tracking multiple and dynamic objects with an extended particle filter and an adapted k-means clustering algorithm

Marta Marrón-Romera; Miguel A. Vázquez; J.C. García

doi:10.1016/s1474-6670(17)31994-8

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Tracking multiple and dynamic objects with an extended particle filter and an adapted k-means clustering algorithm

Marta Marrón-Romera Miguel A. Vázquez J.C. García

Year: 2004 Journal: IFAC Proceedings Volumes Vol: 37 (8)Pages: 310-315 Publisher: Elsevier BV

DOI: 10.1016/s1474-6670(17)31994-8

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Keywords:

Particle filter Sonar Tracking (education) Cluster analysis Computer science Position (finance) Reliability (semiconductor) Obstacle Mobile robot Computer vision Probabilistic logic Filter (signal processing) Algorithm Artificial intelligence Computational complexity theory Obstacle avoidance Robot Geography

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Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Water Systems and Optimization

Physical Sciences → Engineering → Civil and Structural Engineering

Underwater Acoustics Research

Physical Sciences → Earth and Planetary Sciences → Oceanography

Tracking multiple and dynamic objects with an extended particle filter and an adapted k-means clustering algorithm

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