Oct 30, 2023 · We propose a dual-branch framework to integrate radar and Lidar data for enhanced object detection. The primary branch focuses on extracting radar features.

The radar data allows to perceive the environment in adverse weather conditions, while Li- dar data provides a dense point cloud of the environment, thus ...

Experimental results on the KITTI object detection benchmark quantify the effectiveness of incorporating LIDAR data with region-based deep convolutional ...

We propose a dual-branch framework to integrate radar and Lidar data for enhanced object detection. The primary branch focuses on extracting radar features.

This underscores the value of radar-Lidar fusion in achieving precise object detection and localization, especially in challenging weather conditions. Object ...

LiDAR and Radar are two complementary sensing ap- proaches in that LiDAR specializes in capturing an object's. 3D shape while Radar provides longer ...

We propose a novel multi-modal sensor fusion network called LRVFNet. This network effectively combines data from LiDAR, mmWave radar, and visual sensors.

Aug 7, 2024 · We introduce L4DR, a weather-robust 3D object detection method that effectively achieves LiDAR and 4D Radar fusion.

This underscores the value of radar-Lidar fusion in achieving precise object detection and localization, especially in challenging weather conditions. Object ...

Its main objective is to accurately determine the sizes and lo- cations of objects in the driving environment (Mao et al., 2023; Wen and Jo, 2021). 3D object ...