AutoRef implementation: Difference between revisions

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===Scope of work===
===Scope of work===


The following topics were included in the implementation scope:
* Requirements formulation
* Architectural decomposition development
* Individual code blocks development
* Individual code integration
* Software testing on images and videos
These topics are explained in detail in the following sections.


==Process model==
==Process model==

Revision as of 14:21, 31 March 2021

The implementation for the AutoRef autonomous referee for RoboCup Middle Size League (MSL) robot soccer is the proposed design of the AutoRef system.

In 2021 contributions by MSD 2020 focused on detecting ball-to-player distance violations.

Introduction

Objective statement

The main objective of the implementation part of the project was to detect violations of the rules related to the distance between the ball and players during the following game states:

  • Free kick
  • Kick-off
  • Corner kick
  • Goal kick
  • Throw-in
  • Dropped-ball
  • Penalty kick

These rules are described in Laws number 8, 10, 13, 14, and 15 of the MSL Rulebook.

Motivation

This objective was chosen due to several reasons:

- Past projects analysis has shown that this functionality has never been designed before

- Stakeholder interviews (the MSL referees) have led to the conclusion that this kind of rules are hard to control for a human being

- Proof of concept for the developed functional specification was desirable

- Learning goals of the team members correspond to the technical solutions necessary for the functionality development

Scope of work

The following topics were included in the implementation scope:

  • Requirements formulation
  • Architectural decomposition development
  • Individual code blocks development
  • Individual code integration
  • Software testing on images and videos

These topics are explained in detail in the following sections.

Process model

Introduction

Use of V-model

Agile approach

Major design choices

Programming language

Selection of test environment

Vision system parameters

Requirements

Functional requirements

Performance requirements

Frequency

Accuracy

Other context information

Colour detection requirement

Minimal distortion requirement

Architecture decomposition

Explanation of individual code blocks

Zone of field detection

Ball detection

Player detection

Area of interest

Player classification

Decision making function

Verification

Image use case testing

Video use case testing

Long video simulation

Conclusion and recommendations for future work

Conclusion

recommendations