Towards deep radar perception for autonomous driving: Datasets, methods, and challenges

Y Zhou, L Liu, H Zhao, M López-Benítez, L Yu, Y Yue - Sensors, 2022 - mdpi.com
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 …

Sensing and machine learning for automotive perception: A review

A Pandharipande, CH Cheng, J Dauwels… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
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 …

Multi-class road user detection with 3+ 1D radar in the View-of-Delft dataset

A Palffy, E Pool, S Baratam, JFP Kooij… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
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 …

K-radar: 4d radar object detection for autonomous driving in various weather conditions

DH Paek, SH Kong, KT Wijaya - Advances in Neural …, 2022 - proceedings.neurips.cc
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∼ …

Millimeter wave fmcw radars for perception, recognition and localization in automotive applications: A survey

A Venon, Y Dupuis, P Vasseur… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are
sensors based on frequency-modulated electromagnetic which see their environment in 3D …

Raw high-definition radar for multi-task learning

J Rebut, A Ouaknine, W Malik… - Proceedings of the …, 2022 - openaccess.thecvf.com
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 …

RadarScenes: A real-world radar point cloud data set for automotive applications

O Schumann, M Hahn, N Scheiner… - 2021 IEEE 24th …, 2021 - ieeexplore.ieee.org
A new automotive radar data set with measurements and point-wise annotations from more
than four hours of driving is presented. Data provided by four series radar sensors mounted …

Flow: A dataset and benchmark for floating waste detection in inland waters

Y Cheng, J Zhu, M Jiang, J Fu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Marine debris is severely threatening the marine lives and causing sustained pollution to the
whole ecosystem. To prevent the wastes from getting into the ocean, it is helpful to clean up …

Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review

S Yao, R Guan, X Huang, Z Li, X Sha… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

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 …