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Vehicle detection is one of the classical application among the Advance Driver Assistance Systems (ADAS). Applications like emergency braking or adaptive cruise control (ACC) require accurate and reliable vehicle detection. In latest years the improvements in vision detection have lead to the introduction of computer vision to detect vehicles by means of these more economical sensors, with high reliability...
A new approximation to carry out the measurement update step for the multisensor PHD filter is introduced. This method approximates Bayes posterior process as the union of detected and missed targets. The detected target pdfs are extracted around approximately maximum likelihood estimate of target states. Reduced Palm intensity function averaged among sensors is used to approximate the intensity due...
Modelling new-born targets that spontaneously appear in the multi-target tracking scene is an indispensable yet challenging task for any multi-target tracker, which asks for a careful formulation of the target birth intensity (TBI) in random finite set based Bayesian filters. However, the TBI is widely assumed to hold for a constant magnitude that needs to be specified in advance, indicating a constant...
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