A survey of mmWave-based human sensing: Technology, platforms and applications
With the rapid development of the Internet of Things (IoT) and the rise of 5G communication
networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts …
networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts …
Towards deep radar perception for autonomous driving: Datasets, methods, and challenges
With recent developments, the performance of automotive radar has improved significantly.
The next generation of 4D radar can achieve imaging capability in the form of high …
The next generation of 4D radar can achieve imaging capability in the form of high …
Multi-class road user detection with 3+ 1D radar in the View-of-Delft dataset
Next-generation automotive radars provide elevation data in addition to range-, azimuth-and
Doppler velocity. In this experimental study, we apply a state-of-the-art object detector …
Doppler velocity. In this experimental study, we apply a state-of-the-art object detector …
Millimeter wave fmcw radars for perception, recognition and localization in automotive applications: A survey
MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are
sensors based on frequency-modulated electromagnetic which see their environment in 3D …
sensors based on frequency-modulated electromagnetic which see their environment in 3D …
SMURF: Spatial multi-representation fusion for 3D object detection with 4D imaging radar
The 4D millimeter-Wave (mmWave) radar is a promising technology for vehicle sensing due
to its cost-effectiveness and operability in adverse weather conditions. However, the …
to its cost-effectiveness and operability in adverse weather conditions. However, the …
A novel radar point cloud generation method for robot environment perception
Millimeter-wave (mmWave) radar has been widely used in autonomous driving due to its
good performance under harsh weather conditions. In recent years, with the development of …
good performance under harsh weather conditions. In recent years, with the development of …
Graph convolutional networks for 3d object detection on radar data
M Meyer, G Kuschk, S Tomforde - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Despite its advantages as an inexpensive, weather-robust and long-range sensor which
additionally provides velocity information, radar sensors still lead a shadowy existence …
additionally provides velocity information, radar sensors still lead a shadowy existence …
Radatron: Accurate detection using multi-resolution cascaded mimo radar
Millimeter wave (mmWave) radars are becoming a more popular sensing modality in self-
driving cars due to their favorable characteristics in adverse weather. Yet, they currently lack …
driving cars due to their favorable characteristics in adverse weather. Yet, they currently lack …
Improved orientation estimation and detection with hybrid object detection networks for automotive radar
This paper presents novel hybrid architectures that combine grid-and point-based
processing to improve the detection performance and orientation estimation of radar-based …
processing to improve the detection performance and orientation estimation of radar-based …
mmspy: Spying phone calls using mmwave radars
This paper presents a system mmSpy that shows the feasibility of eavesdropping phone
calls remotely. Towards this end, mmSpy performs sensing of earpiece vibrations using an …
calls remotely. Towards this end, mmSpy performs sensing of earpiece vibrations using an …