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In this paper, we consider the problem of co-operative multitarget tracking and surveillance with multiple mobile sensing agents (MSAs) in a decentralized network architecture. In multitarget tracking, each MSA runs a particle filter for each target. A map of the environment and observations communicated between the agents are utilized in target tracking.(More)
This study focuses on developing and illustrating a passenger motion and behavior model for public transportation applications within Intelligent Transportation System research. The specifics of the model are selected to fit the needs of public transportation examples, as opposed to the more generic pedestrian models investigated in the literature. The(More)
This poster investigates sensory data processing, filtering and sensor fusion methods for autonomous vehicles operating in real-life, urban environments with human and machine drivers, and pedestrians. Extended Kalman Filters were used to develop decentralized data fusion algorithms for communicating vehicles, Particle Filters were improved by assigning(More)
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