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PyTorch implementation of ComplexYOLO using version 4. This Repository is meant for students to learn object detection and working with LiDAR/RADAR data.
A curated list of radar datasets, detection, tracking and fusion
Fetching Point Clouds from the Blickfeld Cube 1.
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
PyTorch implementation of ComplexYOLO. This Repository is meant for students to learn object detection and working with LiDAR/RADAR datasets.
Creates a dense depth map from LiDAR point clouds.
Method to generate synthetically point clouds that have a similar scan pattern as MEMS LiDAR sensors.
Linux tool for controlling the MMWCAS-DSP-EVM and MMWAVECAS-RF-EVM boards
This tool is to repack the recording generated by the MMWAVECAS-DSP-EVM board in cascade MIMO frames by merging the recording of all radar chips (of the MMWAVECAS-RF-EVM board).
Different Point Cloud Similarity Measures.
Complex YOLO implementation for the Radiate Dataset.
Rasperry Pi Sense Hat and Camera Data logger
API for loading the RWU dataset.
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Data-Driven Documents codes.
China tencent open source team.