In this paper, we present new ball tracking technique based on Monte-Carlo localization. The key idea of our technique is to consider two kinds of samples, one ...
In this paper, we present new ball tracking technique based on Monte-Carlo localization. The key idea of our technique is to consider two kinds of samples, one ...
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What is the Monte Carlo localization method?
What is the Monte Carlo location algorithm?
The Monte Carlo Localization (MCL) algorithm is used to estimate the position and orientation of a robot. The algorithm uses a known map of the environment, ...
Missing: Ball velocity
Abstract— This paper presents a fast approach for vision-based self-localization in RoboCup. The vision system extracts the features.
In this paper, we introduce a ball detection algorithm using an artificial neural network and a ball trajectory prediction algorithm using stereo vision.
This paper considers the problem of joint maneuvering target tracking and classification. Based on the recently proposed particle filtering approach, a multiple ...
Mobile robot localization is the problem of determining a robot's pose from sensor data. Monte Carlo Localization is a family of algorithms for localization ...
Missing: Ball velocity
This paper presents a novel approach to MCL based on images from an omnidirectional camera system. The approach uses an adaptive number of samples that drops ...
Missing: Ball velocity
One common approach to this problem is particle filtering or Monte Carlo Localization (MCL) [10], [11]. MCL has been shown to be a robust solution for mobile ...