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pro vyhledávání: '"Kinnari, Jouko"'
We present SOS-Match, a novel framework for detecting and matching objects in unstructured environments. Our system consists of 1) a front-end mapping pipeline using a zero-shot segmentation model to extract object masks from images and track them ac
Externí odkaz:
http://arxiv.org/abs/2401.04791
Autor:
Kondo, Kota, Tewari, Claudius T., Peterson, Mason B., Thomas, Annika, Kinnari, Jouko, Tagliabue, Andrea, How, Jonathan P.
Fully decentralized, multiagent trajectory planners enable complex tasks like search and rescue or package delivery by ensuring safe navigation in unknown environments. However, deconflicting trajectories with other agents and ensuring collision-free
Externí odkaz:
http://arxiv.org/abs/2311.03655
Localization of autonomous unmanned aerial vehicles (UAVs) relies heavily on Global Navigation Satellite Systems (GNSS), which are susceptible to interference. Especially in security applications, robust localization algorithms independent of GNSS ar
Externí odkaz:
http://arxiv.org/abs/2212.03581
Localization without Global Navigation Satellite Systems (GNSS) is a critical functionality in autonomous operations of unmanned aerial vehicles (UAVs). Vision-based localization on a known map can be an effective solution, but it is burdened by two
Externí odkaz:
http://arxiv.org/abs/2110.01967
Localization of low-cost Unmanned Aerial Vehicles (UAVs) often relies on Global Navigation Satellite Systems (GNSS). GNSS are susceptible to both natural disruptions to radio signal and intentional jamming and spoofing by an adversary. A typical way
Externí odkaz:
http://arxiv.org/abs/2103.14381
Publikováno v:
In Robotics and Autonomous Systems July 2023
Akademický článek
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Publikováno v:
In Reliability Engineering and System Safety 2010 95(4):345-353