Concurrent Mapping and Localization Library
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Updated
Aug 1, 2023 - C++
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Concurrent Mapping and Localization Library
It is one of the part of my master's thesis, involving computing the Absolute Pose Error (APE) and Relative Pose Error (RPE) of trajectories collected from two environments: PySLAM and ORB-SLAM3
This repository contains a multi-threaded implementation of ORB-SLAM's localization in ROS.
A compact autonomous robot using Raspberry Pi integrates SLAM, YOLOv5 for real-time human detection, and RRT* for optimal path planning. It maps surroundings, detects a person as a goal, and navigates safely. Built in Python, it's lightweight and ideal for rescue, assistance, and indoor navigation.
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