Výsledky vyhledávání - "Chesser, Joshua"

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MEXGEN: An Effective and Efficient Information Gain Approximation for Information Gathering Path Planning

Autor: Chesser, Joshua, Sathyan, Thuraiappah, Ranasinghe, Damith C.

Autonomous robots for gathering information on objects of interest has numerous real-world applications because of they improve efficiency, performance and safety. Realizing autonomy demands online planning algorithms to solve sequential decision mak

Externí odkaz: http://arxiv.org/abs/2405.02605

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The Megopolis Resampler: Memory Coalesced Resampling on GPUs

Autor: Chesser, Joshua A., Van Nguyen, Hoa, Ranasinghe, Damith C.

The resampling process employed in widely used methods such as Importance Sampling (IS), with its adaptive extension (AIS), are used to solve challenging problems requiring approximate inference; for example, non-linear, non-Gaussian state estimation

Externí odkaz: http://arxiv.org/abs/2109.13504

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LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags

Autor: Van Nguyen, Hoa, Chen, Fei, Chesser, Joshua, Rezatofighi, Hamid, Ranasinghe, Damith

Tracking and locating radio-tagged wildlife is a labor-intensive and time-consuming task necessary in wildlife conservation. In this article, we focus on the problem of achieving embedded autonomy for a resource-limited aerial robot for the task capa

Externí odkaz: http://arxiv.org/abs/2007.15860

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