6 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…
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…
Privacy-Aware Sharing of Raw Spatial Sensor Data for Cooperative Perception
Bangya Liu, Chengpo Yan, Chenghao Jiang +2
Cooperative perception between vehicles is poised to offer robust and reliable scene understanding. Recently, we are witnessing experimental systems research building testbeds that…
Measuring multi-site pulse transit time with an AI-enabled mmWave radar
Jiangyifei Zhu, Kuang Yuan, Akarsh Prabhakara +5
Pulse Transit Time (PTT) is a measure of arterial stiffness and a physiological marker associated with cardiovascular function, with an inverse relationship to diastolic blood pres…
Millimeter Wave Inverse Pinhole Imaging
Akarsh Prabhakara, Yawen Liu, Aswin C. Sankaranarayanan +2
Millimeter wave (mmWave) radars are popular for perception in vision-denied contexts due to their compact size. This paper explores emerging use-cases that involve static mount or…
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…