Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Mexicali, Mexico, by N ewsRx correspondents, research stated, “This article proposes an enhancement of a singular spectrum analysis (SSA) technique based on Hilbert matrix (SSA-H) for autonomous navigation systems in a harsh environment. SSA is a technique that h as caught the attention of different fields and is used to extract trends and pa tterns in the time series domain.” Our news journalists obtained a quote from the research from the Autonomous Univ ersity of Baja California, “In this work, SSA-H is used to transform raw optical signals into meaningful information to build machine learning (ML) models. A te chnical vision system (TVS) with laser scanning for depth measurements is presen ted. According to the implementation of the TVS outdoors, some particular issues , such as interference radiation detected by its photodiode, can affect the syst em’s performance in determining depth measurements. This research extracts the l aser beam patterns in a real environment to create ML models to solve the proble m and address some of the technical challenges in a real environment. The main c ontribution of this work is designing an ML framework for recognizing the laser beam of the TVS based on SSA-H. Furthermore, a comparative analysis of ML techni ques to discriminate sunlight interference was studied and compared with differe nt configurations of SSA known in the literature.”
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