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 …
Crn: Camera radar net for accurate, robust, efficient 3d perception
Autonomous driving requires an accurate and fast 3D perception system that includes 3D
object detection, tracking, and segmentation. Although recent low-cost camera-based …
object detection, tracking, and segmentation. Although recent low-cost camera-based …
Craft: Camera-radar 3d object detection with spatio-contextual fusion transformer
Camera and radar sensors have significant advantages in cost, reliability, and maintenance
compared to LiDAR. Existing fusion methods often fuse the outputs of single modalities at …
compared to LiDAR. Existing fusion methods often fuse the outputs of single modalities at …
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 …
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 …
Radar sensor based machine learning approach for precise vehicle position estimation
Estimating vehicles' position precisely is essential in Vehicular Adhoc Networks (VANETs)
for their safe, autonomous, and reliable operation. The conventional approaches used for …
for their safe, autonomous, and reliable operation. The conventional approaches used for …
Review on millimeter-wave radar and camera fusion technology
Y Zhou, Y Dong, F Hou, J Wu - Sustainability, 2022 - mdpi.com
Cameras allow for highly accurate identification of targets. However, it is difficult to obtain
spatial position and velocity information about a target by relying solely on images. The …
spatial position and velocity information about a target by relying solely on images. The …
Radar voxel fusion for 3D object detection
Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and
weather conditions that need to be handled. In contrast to more constrained environments …
weather conditions that need to be handled. In contrast to more constrained environments …