Tsinghua University

China Mobile Communications Corporation

University of Science and Technology Beijing

China Mobile Communication Company Limited

Yuchao Liu

Xinyu Zhang

Huaping Liu

Li Wang

Fei Wang

Jun Li

Hui Tong

Zhiwei Li

Jing Jin

Zhenping Hu

Fei Ma

Jianxi Luo

Yiqian Lu

Chun Jin

Yanhua Shen

Lulu Gao

Linbin Qiu

A 3D object detection method based on multi-view feature fusion of 4D RaDAR and LiDAR point clouds includes simultaneously acquiring RaDAR point cloud data and LiDAR point cloud data; and inputting the RaDAR point cloud data and the lidar point cloud data into a pre-established and trained RaDAR and LiDAR fusion network and outputting a 3D object detection result, wherein the RaDAR and LiDAR fusion network is configured to learn interaction information of a LiDAR and a RaDAR from a bird's eye view and a perspective view, respectively, and concatenate the interaction information to achieve fusion of the RaDAR point cloud data and the lidar point cloud data. The method can combine advantages of RaDAR and LiDAR, while avoiding disadvantages of the two modalities as much as possible to obtain a better 3D object detection result.

3D object detection method based on multi-view feature fusion of 4D RaDAR and LiDAR point clouds

A LiDAR point cloud reflection intensity complementation method includes: acquiring a grayscale image and an original point cloud of a same road surface using a calibrated vehicle-mounted webcam and LiDAR; extracting edge information of the grayscale image using a preset edge extraction strategy, to obtain an edge image of the grayscale image; preprocessing the original point cloud to obtain an original point cloud reflection intensity projection image and an interpolated complementary point cloud reflection intensity projection image; and inputting the grayscale image, the edge image of the grayscale image, the original point cloud reflection intensity projection image and the interpolated complementary point cloud reflection intensity projection image into a pre-trained point cloud reflection intensity complementation model, and outputting a complementary point cloud reflection intensity projection image. A LiDAR point cloud reflection intensity complementation system is further provided.

LiDAR point cloud reflection intensity complementation method and system

A multi-degree-of-freedom automatic center-adjusting device, a hydraulic quick-coupling device, and rescue equipment are provided. The automatic center-adjusting device includes an active coupling valve set, a spring, and a dynamic adjustment swing rack. A first end of the dynamic adjustment swing rack is fixed to operation tools, and a second end of the dynamic adjustment swing rack is connected to the active coupling valve set through the spring. The dynamic adjustment swing rack includes a frame, a limit slot, and a spring limit cylinder, wherein the frame is used to support and fix the active coupling valve set, the limit slot is used to define a limit activity position of the active coupling valve set, and the spring limit cylinder is used to constrain the spring. The automatic center-adjusting device is used to solve technical problems of position errors and a center mismatch in a coupling process.

Multi-degree-of-freedom automatic center-adjusting device, hydraulic quick-coupling device, and rescue equipment

The disclosure discloses a Network Assisted Interference Cancellation and Suppression (NAICS) method, apparatus, system and related device, for NAICS based on existing hardware configuration of a terminal. A first NAICS method includes the following steps. NAICS capability information reported by a User Equipment (UE) is received. NAICS assisted signalling is issued to the UE according to the NAICS capability information and/or interference information of a neighbouring base station. A second NAICS method includes the following steps. Transmission Modes (TM) are divided into N TM subsets, each TM subset including at least one TM, N being a natural number. A neighbouring base station is notified of a TM subset scheduled for an interfering UE, wherein the interfering UE includes a UE located at the edge of a coverage area of the neighbouring base station, and the notified TM subset does not include a high-complexity TM.

Network assisted interference cancellation and suppression method, apparatus, system and related device

Growing community of inventors

Beijing, China

Yuchao Liu