5 papers
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…
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…
Empowering WebAssembly with Thin Kernel Interfaces
Arjun Ramesh, Tianshu Huang, Ben L. Titzer +1
Wasm is gaining popularity outside the Web as a well-specified low-level binary format with ISA portability, low memory footprint and polyglot targetability, enabling efficient in-…
Interference-Aware Edge Runtime Prediction with Conformal Matrix Completion
Tianshu Huang, Arjun Ramesh, Emily Ruppel +3
Accurately estimating workload runtime is a longstanding goal in computer systems, and plays a key role in efficient resource provisioning, latency minimization, and various other…
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…