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 …
Environment reconstruction based on multi-user selection and multi-modal fusion in ISAC
Integrated sensing and communications (ISAC) has been deemed as a key technology for
the sixth generation (6G) wireless communications systems. In this paper, we explore the …
the sixth generation (6G) wireless communications systems. In this paper, we explore the …
Dual radar: A multi-modal dataset with dual 4d radar for autononous driving
Radar has stronger adaptability in adverse scenarios for autonomous driving environmental
perception compared to widely adopted cameras and LiDARs. Compared with commonly …
perception compared to widely adopted cameras and LiDARs. Compared with commonly …
Radar fields: Frequency-space neural scene representations for fmcw radar
Neural fields have been broadly investigated as scene representations for the reproduction
and novel generation of diverse outdoor scenes, including those autonomous vehicles and …
and novel generation of diverse outdoor scenes, including those autonomous vehicles and …
Targetless rotational auto-calibration of radar and camera for intelligent transportation systems
C Schöller, M Schnettler, A Krämmer… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Most intelligent transportation systems use a combination of radar sensors and cameras for
robust vehicle perception. The calibration of these heterogeneous sensor types in an …
robust vehicle perception. The calibration of these heterogeneous sensor types in an …
A continuous-time approach for 3D radar-to-camera extrinsic calibration
Reliable operation in inclement weather is essential to the deployment of safe autonomous
vehicles (AVs). Robustness and reliability can be achieved by fusing data from the standard …
vehicles (AVs). Robustness and reliability can be achieved by fusing data from the standard …
Globally optimal robust radar calibration in intelligent transportation systems
Radar is among the most popular sensors in modern Intelligent Transportation Systems
(ITSs), enabling weather-robust perception. The orientation and position of the traffic radar …
(ITSs), enabling weather-robust perception. The orientation and position of the traffic radar …
A comparative study on camera-radar calibration methods
Camera-radar fusion has been applied in obstacle detection or moving object tracking for
autonomous vehicles and advanced driver assistance systems. When utilizing multiple …
autonomous vehicles and advanced driver assistance systems. When utilizing multiple …
Spatiotemporal Calibration of 3-D Millimetre-Wavelength Radar-Camera Pairs
Autonomous vehicles (AVs) fuse data from multiple sensors and sensing modalities to
impart a measure of robustness when operating in adverse conditions. Radars and cameras …
impart a measure of robustness when operating in adverse conditions. Radars and cameras …
Vehicle detection and width estimation in rain by fusing radar and vision
While much effort has been devoted to deep learning object detection, relatively limited
attention has been paid to object detection in bad weather, eg rain, snow or haze. In heavy …
attention has been paid to object detection in bad weather, eg rain, snow or haze. In heavy …