Robot Detection System 3: LRF groups and Coordinate System
Jinwei Lin
TL;DR
The paper addresses robust front-following detection by introducing a novel LRF group configuration and a dynamic, multi-coordinate framework. It defines a two-LRF hardware group with two rotational degrees of freedom, two detection modes (Normal and Locking), and two data-storage strategies (obscured vs map planning) to balance memory use and information retention. A triad of coordinate systems—GXGYGZ global positioning, XYZ following, and a dynamically anchored RphiTheta spherical system—provides coordinate transformations via the XYZ intermediary and supports real-time data integration for accurate 3D detection and tracking. The approach enhances 3D sensing and target tracking in robotic detection systems and offers practical benefits for applications such as 3D human pose generation and environments with variable terrain or movement, with an open-source propagation emphasis from 2018 results.
Abstract
Front-following is more technically difficult to implement than the other two human following technologies, but front-following technology is more practical and can be applied in more areas to solve more practical problems. In this paper, we will analyze the detailed design of LRF groups, the structure and combination design of coordinate system of Robot Detection System. We use enough beautiful figures to display our novel design idea. Our research result is open source in 2018, and this paper is just to expand the research result propagation granularity. Abundant magic design idea are included in this paper, more idea and analyzing can sear and see other paper naming with a start of Robot Design System with Jinwei Lin, the only author of this series papers.