Intelligent Collision Detection with Dynamic Obstacles in 2D and 3D Space Based on Human Behavior

The aim of this research is to finalize implementation of new method and algorithm of Collaborative and Non-Collaborative Dynamic Path Prediction for Mobile objects Collision Detection with Dynamic Obstacles in 2D and 3D Space. The method is based human behavior in collision detection with vehicles in real-life natural environment. Advantages of proposed method are full decentralization of the system, minimizing network traffic and simplifying inclusion of additional agents in the system. The proposed method is inspired by nature and implemented in mobile robotics. The method decreases uncertainty and increases predictability in collision detection with dynamic obstacles. Method allows implementation of fully functional algorithm which is tested in experimental environment and shows excellent results both in collaborative mode using exchange of coordinates as well as non-collaborative mode using OpenCV library for computer imaging and mobile objects tracking. The proposed algorithm is named Sliding Holt algorithm. This research paper should be considered as a part of series of research papers published earlier.

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