Developed a custom localization program for autonomous robot navigation by integrating a computer vision pipeline with custom blob detection, angle correction, and color detection. In this project, I served as the lead software engineer and collaborated with a multidisciplinary team of electrical and mechanical engineers.
Project Overview
The goal of this project was to create a robust and efficient localization system that enables autonomous robots to navigate accurately in complex environments. By leveraging computer vision techniques, the system processes live video feeds to detect, track, and correct the robot's trajectory in real time.
Key Features
- Advanced Vision Pipeline: Custom computer vision system for robust real-time localization.
- Precise Detection: Sophisticated blob detection algorithms for accurate object and feature identification.
- Intelligent Correction: Real-time angle correction and color detection for enhanced positional accuracy.
- Collaborative Development: Led software development in a cross-disciplinary team environment.
Technical Details
The system employs a computer vision pipeline designed to process video input and identify relevant features using custom blob detection algorithms. Angle correction algorithms adjust the robot's orientation, while color detection helps in distinguishing landmarks for accurate localization. This integrated approach enables real-time navigation and improved autonomous decision-making in challenging environments.