Feature Detection and Localization for the RoboCup Soccer SPL

نویسندگان

  • Amogh Gudi
  • Patrick de Kok
  • Georgios K. Methenitis
  • Nikolaas Steenbergen
چکیده

In this project we propose a basic code for the RoboCup Soccer Standard Platform League for the Dutch Nao Team. We focused on the problem of visual feature recognition and the localization of the robot in a tournament setup. This project contains a detailed description of our implementation together with a conclusion and a brief evaluation. Since this report only covers feature detection and localization we give an outlook on what parts are to be implemented in addition to make the robots play soccer.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adaptive Field Detection and Localization in Robot Soccer

Major rule updates for the RoboCup Standard Platform League (SPL) in recent years pose significant perception challenges for recognizing objects with similar color. Despite the frequent color changes to goalpost, soccer ball and jerseys, the soccer field itself remains unaffected, which makes green the only reliable color feature that can be exploited. In this paper, we propose an efficient app...

متن کامل

Effective Mechatronic Models and Methods for Implementation an Autonomous Soccer Robot

  Omni directional mobile robots have been popularly employed in several applications especially in soccer player robots considered in Robocup competitions. However, Omni directional navigation system, Omni-vision system and solenoid kicking mechanism in such mobile robots have not ever been combined. This situation brings the idea of a robot with no head direction into existence, a comprehensi...

متن کامل

Improving Vision-Based Self-localization

After removing the walls around the field, vision-based localization has become an even more interesting approach for robotic soccer. The paper discusses how removal of the wall affects the localization task in RoboCup, both for vision-based and non-visual approaches, and argues that vision-based Monte Carlo localization based on landmark features seems to cope well with the changed field setup...

متن کامل

Multiple Model Kalman Filters: A Localization Technique for RoboCup Soccer

In the Standard Platform League (SPL) there are substantial sensor limitations due to the rapid motion of the camera, the limited field of view of the camera, and the limited number of unique landmarks. These limitations place high demands on the performance and robustness of localization algorithms. Most of the localization algorithms implemented in RoboCup fall broadly into the class of parti...

متن کامل

Coordination Approach to Find Best Defense Decision with Multiple Possibilities among Robocup Soccer Simulation Team

In 2D Soccer Simulation league, agents will decide based on information and data in their model. Effective decisions need to have world model information without any noise and missing data; however, there are few solutions to omit noise in world model data; so we should find efficient ways to reduce the effect of noise when making decisions. In this article we evaluate some simple solutions whe...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013