Machine Learning for RealisticBall Detection in RoboCup SPL
In this technical report, we describe the use of a machine learning approach for detecting the realistic black and white ball currently in use in the RoboCup Standard Platform League. Our aim is to provide a ready-to-use software module that can be useful for the RoboCup SPL community. To this end, the approach is integrated within the official B-Human code release 2016. The complete code for the approach presented in this work can be downloaded from the SPQR Team homepage at http://spqr.diag.uniroma1.it and from the SPQR Team GitHub repository at https://github.com/SPQRTeam/SPQRBallPerceptor. The approach has been tested in multiple environments, both indoor and outdoor. Furthermore, the ball detector described in this technical report has been used by the SPQR Robot Soccer Team during the competitions of the Robocup German Open 2017. To facilitate the use of our code by other teams, we have prepared a step-by-step installation guide.
Code (1)
Tasks
BIG-bench Machine LearningSimilar Papers 제목 키워드 기반
MARIO: Modular and Extensible Architecture for Computing Visual Statistics in RoboCup SPL
This technical report describes a modular and extensible architecture for computing visual statistics in RoboCup SPL (MARIO), presented during the SPL Open Research Challenge at RoboCup 2022, held in Bangkok (Thailand). …
Camera CalibrationPose EstimationRobot Pose EstimationThe RoboCup Rescue Victim Dataset
In this paper, we introduce a victim dataset for the RoboCup Rescue competitions. The RoboCup Rescue robots have to collect points within several disciplines, e.g. a search task within an area to survey simulated baby d…
Face DetectionFace RecognitionStarkit: RoboCup Humanoid KidSize 2021 Worldwide Champion Team Paper
This article is devoted to the features that were under development between RoboCup 2019 Sydney and RoboCup 2021 Worldwide. These features include vision-related matters, such as detection and localization, mechanical an…
RoboCup@Home Education 2020 Best Performance: RoboBreizh, a modular approach
Every year, the Robocup@Home competition challenges teams and robots' abilities. In 2020, the RoboCup@Home Education challenge was organized online, altering the usual competition rules. In this paper, we present the lat…
object-detectionObject DetectionPose EstimationRobôCIn Small Size League Extended Team Description Paper for RoboCup 2023
Rob\^oCIn has participated in RoboCup Small Size League since 2019, won its first world title in 2022 (Division B), and is currently a three-times Latin-American champion. This paper presents our improvements to defend t…
Articles