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Stereo Visual SLAM with YOLO-Based Object Detection

Project Overview

This project integrates Stereo Visual SLAM with YOLO-based object detection to improve mapping in dynamic environments.

Features

  • ORB-SLAM trajectory estimation
  • YOLO + MobileNet SSD object detection
  • Ground Truth (GT) comparison
  • ATE / RPE evaluation

Project Structure

  • orb_slam_results/ → ORB-SLAM trajectory + results
  • yolo_mobilenet_results/ → YOLO SLAM results
  • code/ → implementation scripts

Dataset

  • TUM RGB-D Dataset (not included in repo)

Results

  • Improved trajectory accuracy using object detection
  • Comparison plots included

How to Run

  1. Run SLAM system
  2. Run object detection
  3. Compare with GT using evaluation script

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Stereo Visual SLAM with YOLO-based object detection for dynamic environment mapping using TUM dataset.

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