activity
20232026
most citedMadRadar: A Black-Box Physical Layer Attack Framework on mmWave Automotive FMCW Radars

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2026

SonicNudge: Controlled Displacement of Hovering UAVs via Estimator-Controller Coupling

Shaocheng Luo, Ashir Raza, Haocheng Meng +2

UAV displacement attacks have traditionally relied on spoofing sensors that directly report position or translational motion, such as GNSS and optical flow. In this work, we introd…

cs.RO2026

fARfetch: Enabling Collocated AR-HRC in Large Visually Diverse Environments with VLM-Driven AR Content Adaptation

Christian Fronk, Hanting Ye, David Hunt +2

Augmented Reality (AR) can improve collocated human-robot collaboration by making robot state and intent visible and enabling intuitive control, yet large, visually diverse environ…

eess.IV2026

Scaling Datasets for Multi-Sensor, Multi-Agent, and Multi-Domain Learning in Autonomous Systems

R. Spencer Hallyburton, David Hunt, Miroslav Pajic

Existing datasets cannot support large-scale learning in multi-agent, multi-sensor, or multi-domain autonomy, where diversity and coordination are essential. We present a modular d…

cs.RO2025

COMRES-VLM: Coordinated Multi-Robot Exploration and Search using Vision Language Models

Ruiyang Wang, Hao-Lun Hsu, David Hunt +3

Autonomous exploration and object search in unknown indoor environments remain challenging for multi-robot systems (MRS). Traditional approaches often rely on greedy frontier assig…

cs.RO2025

RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles

David Hunt, Shaocheng Luo, Spencer Hallyburton +4

Low-cost indoor mobile robots have gained popularity with the increasing adoption of automation in homes and commercial spaces. However, existing lidar and camera-based solutions h…

cs.CV2025

Probabilistic Segmentation for Robust Field of View Estimation

R. Spencer Hallyburton, David Hunt, Yiwei He +2

Attacks on sensing and perception threaten the safe deployment of autonomous vehicles (AVs). Security-aware sensor fusion helps mitigate threats but requires accurate field of view…

cs.RO2024

RadCloud: Real-Time High-Resolution Point Cloud Generation Using Low-Cost Radars for Aerial and Ground Vehicles

David Hunt, Shaocheng Luo, Amir Khazraei +4

In this work, we present RadCloud, a novel real time framework for directly obtaining higher-resolution lidar-like 2D point clouds from low-resolution radar frames on resource-cons…

cs.RO2024

A Multi-Agent Security Testbed for the Analysis of Attacks and Defenses in Collaborative Sensor Fusion

R. Spencer Hallyburton, David Hunt, Shaocheng Luo +1

The performance and safety of autonomous vehicles (AVs) deteriorates under adverse environments and adversarial actors. The investment in multi-sensor, multi-agent (MSMA) AVs is me…

eess.SP2023★ 1 cited

MadRadar: A Black-Box Physical Layer Attack Framework on mmWave Automotive FMCW Radars

David Hunt, Kristen Angell, Zhenzhou Qi +2

Frequency modulated continuous wave (FMCW) millimeter-wave (mmWave) radars play a critical role in many of the advanced driver assistance systems (ADAS) featured on today's vehicle…