Drio: Robust radar-inertial odometry in dynamic environments
Accurate and robust localization is essential for mobile robots. Recently, millimeter wave
(mmWave) radars have been widely used for odometry, owing to their robustness to all …
(mmWave) radars have been widely used for odometry, owing to their robustness to all …
mmStress: Distilling human stress from daily activities via contact-less millimeter-wave sensing
K Liang, A Zhou, Z Zhang, H Zhou, H Ma… - Proceedings of the ACM …, 2023 - dl.acm.org
Long-term exposure to stress hurts human's mental and even physical health, and stress
monitoring is of increasing significance in the prevention, diagnosis, and management of …
monitoring is of increasing significance in the prevention, diagnosis, and management of …
Dream-pcd: Deep reconstruction and enhancement of mmwave radar pointcloud
Millimeter-wave (mmWave) radar pointcloud offers attractive potential for 3D sensing, thanks
to its robustness in challenging conditions such as smoke and low illumination. However …
to its robustness in challenging conditions such as smoke and low illumination. However …
[HTML][HTML] mm-CasGAN: A cascaded adversarial neural framework for mmWave radar point cloud enhancement
Handling and interpreting sparse 3D point clouds, especially from mmWave radar, presents
unique challenges due to the inherent data sparsity and the vast domain difference …
unique challenges due to the inherent data sparsity and the vast domain difference …
Malicious Attacks against Multi-Sensor Fusion in Autonomous Driving
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 …
perception results from different sensing modalities including LiDAR, camera and radar …
Urban traffic imaging using millimeter-wave radar
B Yang, H Zhang, Y Chen, Y Zhou, Y Peng - Remote Sensing, 2022 - mdpi.com
Imaging technology enhances radar environment awareness. Imaging radar can provide
richer target information for traffic management systems than conventional traffic detection …
richer target information for traffic management systems than conventional traffic detection …
CoIR: Compressive Implicit Radar
SM Farrell, V Boominathan, N Raymondi… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Using millimeter wave (mmWave) signals for imaging has an important advantage in that
they can penetrate through poor environmental conditions such as fog, dust, and smoke that …
they can penetrate through poor environmental conditions such as fog, dust, and smoke that …
MS-VRO: A Multi-Stage Visual-Millimeter Wave Radar Fusion Odometry
Monocular visual odometry (VO) has extensive applications in mobile robots and computer
vision. However, current applications of monocular VO systems in complex environments …
vision. However, current applications of monocular VO systems in complex environments …
Diffradar: High-Quality Mmwave Radar Perception With Diffusion Probabilistic Model
Millimeter-wave (mmWave) radar has gained increasing attention in environmental
perception due to its robustness under low-light conditions. However, existing methods fail …
perception due to its robustness under low-light conditions. However, existing methods fail …
Enabling High-rate Backscatter Sensing at Scale
This paper presents μ Tag, an ultra-low-power backscatter sensor that supports high-
frequency sensing of a large number of targets simultaneously. The core of μ Tag is an RF" …
frequency sensing of a large number of targets simultaneously. The core of μ Tag is an RF" …