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 …
Sensing and machine learning for automotive perception: A review
Automotive perception involves understanding the external driving environment and the
internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving …
internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving …
K-radar: 4d radar object detection for autonomous driving in various weather conditions
Unlike RGB cameras that use visible light bands (384∼ 769 THz) and Lidars that use
infrared bands (361∼ 331 THz), Radars use relatively longer wavelength radio bands (77∼ …
infrared bands (361∼ 331 THz), Radars use relatively longer wavelength radio bands (77∼ …
Raw high-definition radar for multi-task learning
With their robustness to adverse weather conditions and ability to measure speeds, radar
sensors have been part of the automotive landscape for more than two decades. Recent …
sensors have been part of the automotive landscape for more than two decades. Recent …
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 …
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 …
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 …
Echoes beyond points: Unleashing the power of raw radar data in multi-modality fusion
Radar is ubiquitous in autonomous driving systems due to its low cost and good adaptability
to bad weather. Nevertheless, the radar detection performance is usually inferior because its …
to bad weather. Nevertheless, the radar detection performance is usually inferior because its …
Azimuth super-resolution for fmcw radar in autonomous driving
We tackle the task of Azimuth (angular dimension) super-resolution for Frequency
Modulated Continuous Wave (FMCW) multiple-input multiple-output (MIMO) radar. FMCW …
Modulated Continuous Wave (FMCW) multiple-input multiple-output (MIMO) radar. FMCW …
T-fftradnet: Object detection with swin vision transformers from raw adc radar signals
J Giroux, M Bouchard… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Abstract Object detection utilizing Frequency Modulated Continuous Wave radar is
becoming increasingly popular in the field of autonomous systems. Radar does not possess …
becoming increasingly popular in the field of autonomous systems. Radar does not possess …