OpenNISLab/Pro-Fusang
Open-source code for the paper "Fusang: Graph-inspired Robust and Accurate Object Recognition on Commodity mmWave Devices".
This project helps operations engineers or researchers accurately identify common objects in indoor environments using only a single millimeter-wave (mmWave) radar device. It takes raw radar signal data (HRRP and IQ samples) and outputs a precise classification of the object being scanned, even in complex, multi-path settings. It's designed for someone needing robust object recognition without relying on optical hardware or extensive data augmentation.
No commits in the last 6 months.
Use this if you need to identify stationary or moving objects in an indoor space with high accuracy (around 97%) using only a single mmWave radar, especially when visual recognition is not feasible or desired.
Not ideal if you don't have access to a commodity mmWave radar device or if you're looking for an out-of-the-box solution that doesn't require Python and MATLAB environments for setup and execution.
Stars
19
Forks
—
Language
Python
License
MIT
Category
Last pushed
Aug 15, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/OpenNISLab/Pro-Fusang"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
changh95/visual-slam-roadmap
Roadmap to become a Visual-SLAM developer in 2026
coperception/coperception
An SDK for multi-agent collaborative perception.
w111liang222/lidar-slam-detection
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
ika-rwth-aachen/Cam2BEV
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image...
lvchuandong/Awesome-Multi-Camera-3D-Occupancy-Prediction
Awesome papers and code about Multi-Camera 3D Occupancy Prediction, such as TPVFormer,...