The utilization of autonomous vehicles is experiencing a rapid proliferation in contemporary
society. Concurrently, with the relentless evolution of technology, the inexorable integration …

Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and
adaptability to various environmental conditions, holds immense potential across multi …

Robotic Autonomous Vehicles (RAVs) rely on their sensors for perception, and follow strict
mission specifications (eg, altitude, speed, and geofence constraints) for safe and timely …

Multi-sensor fusion has been widely used by autonomous vehicles (AVs) to integrate the
perception results from different sensing modalities including LiDAR, camera and radar …

Radar spoofing attacks mislead victim radars by injecting false information. Successful
attacks require prior knowledge of the victim radar's mode and parameters, and existing …

Millimeter-wave (mmWave) technology is pivotal for next-generation wireless networks,
enabling high-data-rate and low-latency applications such as autonomous vehicles and XR …

Wireless sensing technology has become prevalent in healthcare, smart homes, and
autonomous driving due to its non-contact operation, penetration capabilities, and cost …

The rise of automation in robotics necessitates the use of high-quality perception systems,
often through the use of multiple sensors. A crucial aspect of a successfully deployed multi …

With the spread of automotive radar systems, spoofing among the frequency-modulated
continuous-wave (FMCW) millimeter-wave (mmWave) radars in autonomous vehicles (AVs) …

Millimeter wave sensing has rapidly gained prominence with the advent of Frequency
Modulated Continuous Wave (FMCW) radars, redefining applications in both indoor and …