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pro vyhledávání: '"mobile object"'
Autor:
Sun, Yihong, Hariharan, Bharath
Embodied agents must detect and localize objects of interest, e.g. traffic participants for self-driving cars. Supervision in the form of bounding boxes for this task is extremely expensive. As such, prior work has looked at unsupervised instance det
Externí odkaz:
http://arxiv.org/abs/2405.14841
Autor:
Marshall, M. R., Cooper, R. J., Curtis, J. C., Hellfeld, D., Joshi, T. H. Y., Salathe, M., Vetter, K.
The addition of contextual sensors to mobile radiation sensors provides valuable information about radiological source encounters that can assist in adjudication of alarms. This study explores how computer-vision based object detection and tracking a
Externí odkaz:
http://arxiv.org/abs/2309.06592
Akademický článek
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Akademický článek
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Mobile devices increasingly rely on object detection (OD) through deep neural networks (DNNs) to perform critical tasks. Due to their high complexity, the execution of these DNNs requires excessive time and energy. Low-complexity object tracking (OT)
Externí odkaz:
http://arxiv.org/abs/2201.04235
Deep learning based object detectors are commonly deployed on mobile devices to solve a variety of tasks. For maximum accuracy, each detector is usually trained to solve one single specific task, and comes with a completely independent set of paramet
Externí odkaz:
http://arxiv.org/abs/2101.01260
Autor:
Simos, Theodore E., Katsikis, Vasilios N., Mourtas, Spyridon D., Stanimirović, Predrag S., Gerontitis, Dimitris
Publikováno v:
In Information Sciences July 2022 600:226-238
Publikováno v:
In High-Confidence Computing March 2022 2(1)
Publikováno v:
High-Confidence Computing, Vol 2, Iss 1, Pp 100045- (2022)
Mobile object tracking, which has broad applications, utilizes a large number of Internet of Things (IoT) devices to identify, record, and share the trajectory information of physical objects. Nonetheless, IoT devices are energy constrained and not f
Externí odkaz:
https://doaj.org/article/3f3bab967d9047a69c1a39a9c0eb2501
We consider the challenging problem of online planning for a team of agents to autonomously search and track a time-varying number of mobile objects under the practical constraint of detection range limited onboard sensors. A standard POMDP with a va
Externí odkaz:
http://arxiv.org/abs/1911.09807