27 citations · 57 across the 6 of their papers we have counts for
6 papers
3D Object Reconstruction with mmWave Radars
Samah Hussein, Junfeng Guan, Swathi Narashiman +2
This paper presents RFconstruct, a framework that enables 3D shape reconstruction using commercial off-the-shelf (COTS) mmWave radars for self-driving scenarios. RFconstruct overco…
Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
Yiduo Hao, Sohrab Madani, Junfeng Guan +3
The perception of autonomous vehicles using radars has attracted increased research interest due its ability to operate in fog and bad weather. However, training radar models is hi…
High Resolution Millimeter Wave Imaging For Self-Driving Cars
Junfeng Guan, Sohrab Madani, Suraj Jog +1
Recent years have witnessed much interest in expanding the use of networking signals beyond communication to sensing, localization, robotics, and autonomous systems. This paper exp…
Agile Millimeter Wave Networks with Provable Guarantees
Haitham Hassanieh, Omid Abari, Michael Rodreguez +3
There is much interest in integrating millimeter wave radios (mmWave) into wireless LANs and 5G cellular networks to benefit from their multiple GHz of available spectrum. Yet unli…
Sample-Optimal Average-Case Sparse Fourier Transform in Two Dimensions
Badih Ghazi, Haitham Hassanieh, Piotr Indyk +3
We present the first sample-optimal sublinear time algorithms for the sparse Discrete Fourier Transform over a two-dimensional sqrt{n} x sqrt{n} grid. Our algorithms are analyzed f…
Nearly Optimal Sparse Fourier Transform
Haitham Hassanieh, Piotr Indyk, Dina Katabi +1
We consider the problem of computing the k-sparse approximation to the discrete Fourier transform of an n-dimensional signal. We show: * An O(k log n)-time randomized algorithm for…