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Name: Fuyuan Ai
Type: User
Company: Zhejiang University
Bio: Research interests: object detection, deep learning, millimeter wave radar and fusion perception
Location: China
Blog: [email protected]
Name: Fuyuan Ai
Type: User
Company: Zhejiang University
Bio: Research interests: object detection, deep learning, millimeter wave radar and fusion perception
Location: China
Blog: [email protected]
learn about KITTI
transfer KITTI dataset to VOC format
used for mmwave radar speed extending research
when ptp sync function is running, generate pointcloud(.pcd/.npz) according to network packets, and name a pointcloud frame as timestamp_unix
ourDataset_v1 postprocess
ourDataset v2.0 postprocess
while building our dataset, we need to calibrate and match camera, camera&lidar, camera&radar
multi-sensors calibration data and codes for ourDataset_v2
update based on sensors_calibration_v2
Stable Diffusion web UI
This project achieve: 1. Timestamp(unix) for each point 2. Customize the segmentation Angle for frames, and named frame if you like 3. Pointcloud frame support .pcd, .npz
A Specialized Pseudo Point Generator Based on Visible Light Camera, Infrared Camera and LiDAR
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