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GE_Benchmarking-different-SLAM-approaches

This project focuses on benchmarking various SLAM (Simultaneous Localization and Mapping) algorithms to evaluate their performance on different datasets.

algorithms

ORB-SLAM3

Original Repository: ORB-SLAM3 Docker Implementation

OpenVSLAM

Original Repository: OpenVSLAM by Stella CV

LSD-SALM

Original Repository: LSD-SLAM by TUM Vision

Dataset

Kagaru Airborne Stereo Dataset

The data consists of visual data from a pair of downward facing cameras, translation and orientation information as a ground truth from an XSens Mti-g INS/GPS and additional information from a Haico HI-206 USB GPS. Link:Kagaru Airborne Stereo Dataset

EuRoC MAV Dataset

The datasets contain stereo images, synchronized IMU measurements, and accurate motion and structure ground-truth. Link:EuRoC MAV Dataset

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