Drone Referee - MSD 2017/18: Difference between revisions
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===Graphical User Interface=== | ===Graphical User Interface=== | ||
Revision as of 21:45, 1 April 2018
Introduction
Abstract
Being a billion Euro industry, the game of Football is constantly evolving with the use of advancing technologies that not only improves the game but also the fan experience. Most football stadiums are outfitted with state-of-the-art camera technologies that provide previously unseen vantage points to audiences worldwide. However, football matches are still refereed by humans who take decisions based on their visual information alone. This causes the referee to make incorrect decisions, which might strongly affect the outcome of the games. There is a need for supporting technologies that can improve the accuracy of referee decisions. Through this project, TU Eindhoven hopes develop a system with intelligent technology that can monitor the game in real time and make fair decisions based on observed events. This project is a first step towards that goal.
In this project, a drone is used to evaluate a football match, detect events and provide recommendations to a remote referee. The remote referee is then able to make decisions based on these recommendations from the drone. This football match is played by the university’s RoboCup robots, and, as a proof-of-concept, the drone referee is developed for this environment.
This project focuses on the design and development of a high level system architecture and corresponding software modules on an existing quadrotor (drone). This project builds upon data and recommendations by the first two generations of Mechatronics System Design trainees with the purpose of providing a proof-of-concept Drone Referee for a 2x2 robot-soccer match.
Background and Context
The Drone Referee project was introduced to the PDEng Mechatronics Systems Design team of 2015. The team was successful in demonstrating a proof-of-concept architecture, and the PDEng team of 2016 developed this further on an off-the-shelf drone. The challenge presented to the team of 2017 was to use the lessons of the previous teams to develop a drone referee using a new custom-made quadrotor. This drone was built and configured by a master student and his thesis was used as the baseline for this project.
The MSD 2017 team is made up of seven people with different technical and academic backgrounds. One project manager and two team leaders were appointed and the remaining four team-members were divided under the two team leaders. The team is organized as below:
| Name | Role | Contact |
|---|---|---|
| Siddharth Khalate | Project Manager | s.r.khalate@tue.nl |
| Mohamed Abdel-Alim | Team 1 Leader | m.a.a.h.alosta@tue.nl |
| Aditya Kamath | Team 1 | a.kamath@tue.nl |
| Bahareh Aboutalebian | Team 1 | b.aboutalebian@tue.nl |
| Sabyasachi Neogi | Team 2 Leader | s.neogi@tue.nl |
| Sahar Etedali | Team 2 | s.etedalidehkordi@tue.nl |
| Mohammad Reza Homayoun | Team 2 | m.r.homayoun@tue.nl |
Problem Description
As mentioned above, the drone referee project was also performed by previous two generations of the PDEng MSD. The ideas the previous generation implemented were:
- To detect ball out of pitch
- To detect collision
However these were not in a live game and more of a proof of concept, where they performed them in a controlled simulation environment. This year the expectations of the stakeholders are to be able to monitor a 5 minute 2-against- 2 robot soccer match with a drone. The next part is a human referee who is at remote location having the drone view of the game and has a user interface which receives a set of recommendation for rule enforcement. The referee then look at the recommendation and replays to decide his final decision via user interface. This decision is then displayed on the audience screen who are near the robot soccer field; also the LEDs on the drone change color to notify whether there is a rule enforcement or not, if so then which rule is to be enforced . Finally the game restarts from the center after the rule is enforced. The rules that were to be detected and enforced were:
- Rule A: Free throw, when the ball is out of pitch, i.e. crossing the 4 lines delimiting the field a free throw is awarded to the team that last did not last touch the ball.
- Rule B: Collision detection, when two robots in pitch touch each other it is considered a foul.
System Objectives and Requirements
Project Scope
As in any project, the scope of a project deviates from the initial objectives this project had some shifts. In this project the focus was shifted to go for proof of concept of individual components rather than to go for end to end development and final product creation. It was decided to narrow down the scope of project without having a major change to the basic idea. The deliverables of Drone Referee project (MSD 2017) are:
- System Architecture (Conventional and DSM)
- Detection of ball out of pitch
- Collision Detection of robots
- Live video feed to the remote referee
- To send recommendation to remote referee
- A GUI for remote referee to enforce rules
- The wiki-page with all documentation