Abstract
This chapter is devoted to two tracking problems where random set models are particularly useful, because they offer elegant solutions unmatched by the standard approaches.
Keywords
- Probability Density Function
- Importance Sampling
- Extended Object
- Probability Hypothesis Density
- Sensor Bias
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Ristic, B. (2013). Advanced Topics. In: Particle Filters for Random Set Models. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6316-0_7
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DOI: https://doi.org/10.1007/978-1-4614-6316-0_7
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