Design and Implementation of an Intelligent Moving Target Robot System for Shooting Training

Abstract

The paper proposed intelligent moving sensory robot localization (IMSRL) method for shooting training in military applications. It's a conceptual design of a human-like intelligent target robot. It offers concept strategies based on standard military shooting training and combat utilization scenarios in light of the current trend toward intellectual and remotely operated training equipment and the practical implementations of mobile target robots elsewhere. With photogrammetry and pattern matching through model information and forefront goal isolation, characteristic point recovery, and movement prediction to Kalman filtering, IMSRL relies on a method for monitoring feature points of moving targets. Performance values and the ability to recognize and follow moving targets increase significantly in simulated experiments using the suggested strategy. Parameters such as confidence level may enhance motion target recognition, tracking reliability, and precision. In contrast, inter-frame centroid distance can be used to evaluate the efficiency and consistency of these processes.