1 citations · 1 across the 4 of their papers we have counts for
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ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements
Bryan Bo Cao, Abrar Alali, Hansi Liu +5
Tracking subjects in videos is one of the most widely used functions in camera-based IoT applications such as security surveillance, smart city traffic safety enhancement, vehicle…
ViFi-Loc: Multi-modal Pedestrian Localization using GAN with Camera-Phone Correspondences
Hansi Liu, Kristin Dana, Marco Gruteser +1
In Smart City and Vehicle-to-Everything (V2X) systems, acquiring pedestrians' accurate locations is crucial to traffic safety. Current systems adopt cameras and wireless sensors to…
LaNet: Real-time Lane Identification by Learning Road SurfaceCharacteristics from Accelerometer Data
Madhumitha Harishankar, Jun Han, Sai Vineeth Kalluru Srinivas +7
The resolution of GPS measurements, especially in urban areas, is insufficient for identifying a vehicle's lane. In this work, we develop a deep LSTM neural network model LaNet tha…
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications
Shubham Jain, Marco Gruteser
As smartphone rooted distractions become commonplace, the lack of compelling safety measures has led to a rise in the number of injuries to distracted walkers. Various solutions ad…
Reading Between the Pixels: Photographic Steganography for Camera Display Messaging
Eric Wengrowski, Kristin Dana, Marco Gruteser +1
We exploit human color metamers to send light-modulated messages less visible to the human eye, but recoverable by cameras. These messages are a key component to camera-display mes…