85 citations · 86 across the 7 of their papers we have counts for
5 papers · 1 filter
RadarSim: Simulating Single-Chip Radar via Multimodal Neural Fields
Chuhan Chen, Tianshu Huang, Akarsh Prabhakara +5
Radars are an ideal complement to cameras: both are inexpensive, solid-state sensors, with cameras offering fine angular resolution, while radars provide metric depth and robustnes…
Ghosts in the Point Clouds: De-glaring LiDAR in the Transient Domain
Avery Gump, Connor Henley, Sungjin Cheong +2
Modern LiDARs are rapidly transitioning from bulky, mechanically scanned systems to ultra-compact, low-cost, solid-state arrays. This miniaturization-while enabling scalability, af…
Towards Foundational Models for Single-Chip Radar
Tianshu Huang, Akarsh Prabhakara, Chuhan Chen +4
mmWave radars are compact, inexpensive, and durable sensors that are robust to occlusions and work regardless of environmental conditions, such as weather and darkness. However, th…
DART: Implicit Doppler Tomography for Radar Novel View Synthesis
Tianshu Huang, John Miller, Akarsh Prabhakara +4
Simulation is an invaluable tool for radio-frequency system designers that enables rapid prototyping of various algorithms for imaging, target detection, classification, and tracki…
A Hybrid mmWave and Camera System for Long-Range Depth Imaging
Akarsh Prabhakara, Diana Zhang, Chao Li +4
mmWave radars offer excellent depth resolution even at very long ranges owing to their high bandwidth. But their angular resolution is at least an order-of-magnitude worse than cam…