BerensRWU

DenseMap

Creates a dense depth map from LiDAR point clouds.

Complex_YOLO

PyTorch implementation of ComplexYOLO. This Repository is meant for students to learn object detection and working with LiDAR/RADAR datasets.

Point-Cloud-Comparison

Different Point Cloud Similarity Measures.

MEMS-LiDAR-Generator

Method to generate synthetically point clouds that have a similar scan pattern as MEMS LiDAR sensors.

AstyxComplexYOLOv4

PyTorch implementation of ComplexYOLO using version 4. This Repository is meant for students to learn object detection and working with LiDAR/RADAR data.

awesome-radar-perception

A curated list of radar datasets, detection, tracking and fusion

BEV_Data_GIF_generator

Blickfeld-Scan

Fetching Point Clouds from the Blickfeld Cube 1.

Complex-YOLOv4-Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

mmwave

Linux tool for controlling the MMWCAS-DSP-EVM and MMWAVECAS-RF-EVM boards

Radiate-Complex-YOLO

Complex YOLO implementation for the Radiate Dataset.

Raspberry-Pi-Loggers

Rasperry Pi Sense Hat and Camera Data logger

rwu-dataset

API for loading the RWU dataset.

mmwave-repack

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).