Probability Hypothesis Density Filter Visual Simultaneous Localization and Mapping

Falchetti, Angelo; Adams, Martin

doi:10.1109/iccais52680.2021.9624511

Cited by 2 publications

(1 citation statement)

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“…A combination of SLAM and target tracking theory has been proposed earlier, in the multi-hypothesis FastSLAM presented in [28] where a multi hypothesis tracker (MHT) is used to define the particles in a FastSLAM implementation, or in random finite set (RFS) versions of SLAM [29][30][31][32][33]. Such multi-hypothesis approaches theoretically result in an exponential growth in the number of hypotheses.…”

Section: Related Workmentioning

confidence: 99%

Multi-Hypothesis SLAM for Non-Static Environments With Reoccurring Landmarks

Nielsen

Hendeby

2023

IEEE Trans. Intell. Veh.

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A static world assumption is often used when considering the simultaneous localization and mapping (SLAM) problem. In reality, especially when long-term autonomy is the objective, this is not valid. This paper studies a scenario where uniquely identifiable landmarks can attend multiple discrete positions, not known a priori. Based on a feature based multi-hypothesis map representation, a multi-hypothesis SLAM algorithm is developed inspired by target tracking theory. The creation of such a map is merged into the SLAM framework allowing any available SLAM method to solve the underlying mapping and localization problem for each hypothesis. A recursively updated hypothesis score allows for hypothesis rejection and prevents exponential growth in the number of hypotheses. The developed method is evaluated in an underground mine application, where physical barriers can be moved in between multiple distinct positions. Simulations are conducted in this environment showing the benefits of the multi-hypothesis approach compared to executing a standard SLAM algorithm. Practical considerations as well as suitable approximations are elaborated upon and experiments on real data further validates the simulated results and show that the multi-hypothesis approach has similar performance in reality as in simulation.

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