20 citations · 43 across the 7 of their papers we have counts for
4 papers · 1 filter
SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization
Danish Gufran, Saideep Tiku, Sudeep Pasricha
Indoor localization is a critical task in many embedded applications, such as asset tracking, emergency response, and realtime navigation. In this article, we propose a novel finge…
STELLAR: Siamese Multi-Headed Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity with Indoor Localization
Danish Gufran, Saideep Tiku, Sudeep Pasricha
Smartphone-based indoor localization has emerged as a cost-effective and accurate solution to localize mobile and IoT devices indoors. However, the challenges of device heterogenei…
Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices
Saideep Tiku, Sudeep Pasricha
Fingerprinting-based indoor localization is an emerging application domain for enhanced positioning and tracking of people and assets within indoor locales. The superior pairing of…
CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning
Liping Wang, Saideep Tiku, Sudeep Pasricha
GPS technology has revolutionized the way we localize and navigate outdoors. However, the poor reception of GPS signals in buildings makes it unsuitable for indoor localization. Wi…