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 …
Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review
Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …
RODNet: A real-time radar object detection network cross-supervised by camera-radar fused object 3D localization
Various autonomous or assisted driving strategies have been facilitated through the
accurate and reliable perception of the environment around a vehicle. Among the commonly …
accurate and reliable perception of the environment around a vehicle. Among the commonly …
Ramp-cnn: A novel neural network for enhanced automotive radar object recognition
Millimeter-wave (mmW) radars are being increasingly integrated into commercial vehicles to
support new advanced driver-assistance systems (ADAS) by enabling robust and high …
support new advanced driver-assistance systems (ADAS) by enabling robust and high …
MIMO-SAR: A hierarchical high-resolution imaging algorithm for mmWave FMCW radar in autonomous driving
Millimeter-wave radars are being increasingly integrated into commercial vehicles to support
advanced driver-assistance system features. A key shortcoming for present-day vehicular …
advanced driver-assistance system features. A key shortcoming for present-day vehicular …
Carrada dataset: Camera and automotive radar with range-angle-doppler annotations
High quality perception is essential for autonomous driving (AD) systems. To reach the
accuracy and robustness thatare required by such systems, several types of sensors must …
accuracy and robustness thatare required by such systems, several types of sensors must …
Application of deep learning on millimeter-wave radar signals: A review
The progress brought by the deep learning technology over the last decade has inspired
many research domains, such as radar signal processing, speech and audio recognition …
many research domains, such as radar signal processing, speech and audio recognition …
Multi-view radar semantic segmentation
Understanding the scene around the ego-vehicle is key to assisted and autonomous driving.
Nowadays, this is mostly conducted using cameras and laser scanners, despite their …
Nowadays, this is mostly conducted using cameras and laser scanners, despite their …
Deep instance segmentation with automotive radar detection points
Automotive radar provides reliable environmental perception in all-weather conditions with
affordable cost, but it hardly supplies semantic and geometry information due to the sparsity …
affordable cost, but it hardly supplies semantic and geometry information due to the sparsity …
Human activity classification based on point clouds measured by millimeter wave MIMO radar with deep recurrent neural networks
Y Kim, I Alnujaim, D Oh - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
We investigate the feasibility of classifying human activities measured by a MIMO radar in
the form of a point cloud. If a human subject is measured by a radar system that has a very …
the form of a point cloud. If a human subject is measured by a radar system that has a very …