Ball Trajectory Estimation and Robot Control to Reach the Ball Using Single Camera

Authors

Abstract:

In robotics research, catching a projectile object with a robotic system is one of the challenging problems. The outcome of these researches can be used in a wide range of applications such as video surveillance systems, analysis of sports videos, monitoring programs for human activities, and human-machine interactions. In this paper, we propose a new vision-based algorithm to estimate the trajectory of a projectile, which estimates the time and the position of the projectilechr('39')s collision with the robotchr('39')s working space in real-time. We use sub-pixel calculations and present an improved algorithm for estimating the center of the ball. We evaluate the performance of different trajectory estimation algorithms and also provide a real-time hardware implementation of our method on a designed robot. Moreover, the combination of single-camera and gyroscope information is studied in this paper. The results show that the proposed algorithm is capable of correctly estimating the ballchr('39')s trajectory and has a very good performance against the noise.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Real-time accurate ball trajectory estimation with "asynchronous" stereo camera system for humanoid Ping-Pong robot

— Temporal asynchrony between two cameras in the vision system is a usual problem in practice. In some vision task such as estimating fast moving targets, the estimation error caused by the tiny temporal asynchrony will become non-ignorable essentials. This paper will address on the asynchrony in the stereo vision system of humanoid Ping-Pong robot, and present a real-time accurate Ping-Pong ba...

full text

Tennis Ball Tracking: 3D Trajectory Estimation using Smartphone Videos

1. T. Qazi, P. Mukherjee, S. Srivastava, B. Lall and N. R. Chauhan, "Automated ball tracking in tennis videos," 2015 Third ICIIP, Waknaghat, 2015, pp. 236-240 2. C. Lyu, Y. Liu, B. Li and H. Chen, "Multi-feature based high-speed ball shape target tracking," 2015 IEEE Int. Conference on Information and Automation, Lijiang, 2015, pp. 67-72. 3. Archana, M., Geetha, M.K.: An efficient ball and play...

full text

3D Trajectory Reconstruction of the Soccer Ball for Single Static Camera Systems

The interest on acquiring player and ball data during soccer games is increasing in several domains such as media or training. Consequently, tracking systems are becoming widely used for live data gathering. However, due to costs, stadium infrastructure, media rights etc. there is a trend for stand-alone mobile low-cost soccer tracking systems. The drawback of such systems is that generally onl...

full text

Ball Dribbling Control for RoboCup Soccer Robot

RoboCup is a platform designed to promote the research related to Artificial Intelligence (AI) and robotics. We also organize a RoboCup soccer team “Hibikino-Musashi” and working on co-operated behavior control system using multiple autonomous mobile robots. In order to realize co-operated behavior in the soccer game, the ball handling system is one of the important issues for dribbling and pas...

full text

Ball Balancing Along a Trajectory

Learning complex behavior in real robot scenarios is a challenging problem that requires solving several tasks simultaneously. Traditional reinforcement learning techniques, however, often favor experiments with a single challenge. Although such experiments are well suited for examining the performance and robustness of learning algorithms they may omit difficulties that may occur in combined t...

full text

Ball trajectory reconstruction from a single long-exposure perspective image

This paper deals with the reconstruction of the 3D trajectory of a moving ball from a single calibrated photograph, shot by a still perspective camera, with an exposure time long enough to encompass the ball’s movement. Our work differs from previous approaches since we do not use image sequences, stereopsis, nor assumptions on a parabolic trajectory (therefore, we are also capable of reconstru...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 14  issue 3

pages  75- 87

publication date 2020-11

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

No Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023