Radar SLAM in C++ / ROS

基于LIO_SAM二次开发的，使用4D毫米波雷达/gps/imu的radar_slam方法

Efficient and accurate spinning FMCW 2D radar odometry in C++ / ROS.

Real-time Radar SLAM: ORORA + ScanContext

Radar ego motion estimator (modified version of REVE)

The Radar Normal Distributions Transform (RaNDT) SLAM developed by Maximilian Hilger and Nils Mandischer at RWTH Aachen University for use in the German Rescue Robotics Center (DRZ).

Radar4Motion: 4D Imaging Radar based IMU-free Odometry with Radar Cross Section (RCS) weighted Correspondences

ORORA: Outlier-robust radar odometry, which is accepted in ICRA'23

[IEEE RA-L 2024] River: A Tightly-Coupled Radar-Inertial Velocity Estimator Based on Continuous-Time Optimization

Graph-based, sparse radar-inertial odometry estimation

This is the code repository for the IEEE-RAL'24 paper "FMCW-LIO: A Doppler LiDAR-Inertial Odometry"

Optimization Based and Point Uncertainty Aware Radar-inertial Odometry for 4D Radar System

Code for "DeRO: Dead Reckoning Based on Radar Odometry With Accelerometers Aided for Robot Localization" (IROS 2024)

[CVPR 2024] RCBEVDet: Radar-camera Fusion in Bird’s Eye View for 3D Object Detection

4D Radar-Inertial Odometry

Unsupervised radar odometry combining deep learning with classical state estimation

(RA-L 2024) This repository is the official code for "ReFeree: Radar-based Lightweight and Robust Localization using Feature and Free space".

Radar-SLAM: ReFeree + Yeti Odometry

An accurate and robust Radar-Inertial Odometry, RINO.