Welcome To Vision Documentation

Welcome to the Team 488 Robotics Vision AI Documentation. This guide explains how our vision AI systems work, including setup, configuration, and usage during competitions. It provides the technical details needed to understand and improve the system.

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Probability Mapping

Explore how the system calculates and visualizes object positions and probabilities on the field.

Simulation

Learn how to test and refine vision AI systems in a controlled virtual environment.

XTABLES

Learn why we use custom networking data systems for optimized performance.

XDASH

Explore XDASH, its features, and its role in managing the Vision Team's systems.

AI Models

Understand the structure and training process of models used for object detection and recognition.

Jetson Orin Nano

Discover why we use the powerful Orin Nano Computers for enhanced performance.

Project Setup

Setup your development environment and install all dependencies.

A* Path Planning

Learn how the A* algorithm finds optimal paths while avoiding obstacles in real-time.

Autonomous Navigation

Explore how the robot autonomously navigates, avoids obstacles, and prioritizes goals in real-time.

Integrated Camera System

Delve into the multi-camera setup that ensures full field coverage with precise object detection and tracking.

AprilTag Localization

Learn how AprilTag-based localization achieves sub-inch precision for accurate robot positioning in dynamic environments.