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Found 5 papers, 1 papers with code
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors
Constantly locating moving objects, i. e., geospatial tracking, is essential for autonomous building infrastructure.
Efficient IoT Inference via Context-Awareness
While existing strategies to execute deep learning-based classification on low-power platforms assume the models are trained on all classes of interest, this paper posits that adopting context-awareness i. e. narrowing down a classification task to the current deployment context consisting of only recent inference queries can substantially enhance performance in resource-constrained environments.
Heteroskedastic Geospatial Tracking with Distributed Camera Networks
Visual object tracking has seen significant progress in recent years.
CarFi: Rider Localization Using Wi-Fi CSI
With the rise of hailing services, people are increasingly relying on shared mobility (e. g., Uber, Lyft) drivers to pick up for transportation.
AI-Enhanced 3D RF Representation Using Low-Cost mmWave Radar
This paper introduces a system that takes radio frequency (RF) signals from an off-the-shelf, low-cost, 77 GHz mm Wave radar and produces an enhanced 3D RF representation of a scene.
