3 papers
eess.SY2025
MARS: Defending Unmanned Aerial Vehicles From Attacks on Inertial Sensors with Model-based Anomaly Detection and Recovery
Haocheng Meng, Shaocheng Luo, Zhenyuan Liang +3
Unmanned Aerial Vehicles (UAVs) rely on measurements from Inertial Measurement Units (IMUs) to maintain stable flight. However, IMUs are susceptible to physical attacks, including…
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…