AqUaVision 2025
  • Table of contents
  • Changelog
  • Our Vision
  • Host Institute
  • AqUaVision Challenge 2025
  • Overview
    • Dates & Venue
    • Schedule
  • Registration of Teams
    • How to Register
    • Selection of teams
    • Participation Fee
    • Number of members per team
  • Support by the team
    • AUV Tutorials
    • Accommodation
    • Batteries and Chargers
  • Timeline
    • Time table
    • Important Deadlines
  • Technical Requirements
    • About the Requirements
    • General Requirements
    • Safety Requirements
    • AUV Specification
  • Task Descriptions
    • Wet testing
    • Task1: Path Tracking
    • Task2: Gate Detection
    • Task3: Slalom race
  • Evaluation
  • AUV Tutorial
    • AUV Modelling Short term course Playlist
  • Prizes and Sponsors
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  1. Task Descriptions

Task2: Gate Detection

#task 2

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Last updated 7 months ago

The Gate Detection task focuses on the AUV's ability to recognize and react to visual cues in its environment. The vehicle will encounter two gates—one red and one green—and must identify the correct gate color to pass through. The gate color for each team’s turn will be announced right before their slot, adding an element of real-time decision-making to the task.

In this challenge, the AUV must use its camera or other visual sensors to detect the gate’s color. Once the color is identified, the AUV must adjust its trajectory and navigate through the gate accurately. The task tests the AUV’s color detection algorithms, visual processing capabilities, and the speed at which it can interpret and act on environmental information.

Precision and decision-making are critical in this task, as the AUV needs to differentiate between the gates and make quick course corrections if necessary. Judges will assess the accuracy and speed of gate detection, as well as the AUV’s ability to pass cleanly through the correct gate.

This task highlights the importance of visual recognition in autonomous underwater vehicles, simulating real-world scenarios where quick environmental adaptation is key.