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Vera Tyrsa

Researcher at Autonomous University of Baja California

Publications -  70
Citations -  1152

Vera Tyrsa is an academic researcher from Autonomous University of Baja California. The author has contributed to research in topics: Laser scanning & Machine vision. The author has an hindex of 19, co-authored 66 publications receiving 893 citations. Previous affiliations of Vera Tyrsa include National Technical University.

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Optical 3D laser measurement system for navigation of autonomous mobile robot

TL;DR: This paper proposes a robot navigation system which works using a high accuracy localization scheme by dynamic triangulation by integrating two principal systems, 3D laser scanning technical vision system (TVS) and mobile robot (MR) navigation system.
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Surface recognition improvement in 3D medical laser scanner using Levenberg-Marquardt method

TL;DR: The Levenberg-Marquardt method is used as a digital rectifier to adjust this non-linear variation and increases the measurement accuracy of the 3D Rotational Body Scanner.
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Mobile robot vision system using continuous laser scanning for industrial application

TL;DR: A novel robot vision system, which uses laser dynamic triangulation, to determine three-dimensional (3D) coordinates of an observed object is presented and the physical operation principle of discontinuous scanning method is substituted by continuous method.
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Data transferring model determination in robotic group

TL;DR: This paper provides a brief review of existing robotic swarm projects and definition of the problems in robot teamwork, shows pathfinding methods and their analysis, justifies the technical vision system choice and describes its method of obstacle detecting that is based on dynamic triangulation.
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3D Optical Machine Vision Sensors With Intelligent Data Management for Robotic Swarm Navigation Improvement

TL;DR: The algorithm of data transfer from 3D optical sensor, based on the principle of dynamic triangulation, uses the distributed scalable big data storage and artificial intelligence in automated 3D metrology to optimize the fused data base for better path planning.