Robotics & Machine Learning Daily News2024,Issue(Apr.12) :110-111.

Recent Findings from Silesian University of Technology Has Provided New Informat ion about Machine Learning (Machine Learning-based Calibration Approaches for Si ngle-beam and Multiple-beam Distance Sensors)

Robotics & Machine Learning Daily News2024,Issue(Apr.12) :110-111.

Recent Findings from Silesian University of Technology Has Provided New Informat ion about Machine Learning (Machine Learning-based Calibration Approaches for Si ngle-beam and Multiple-beam Distance Sensors)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting from Gliwice, Poland, by NewsRx journalists, research stated, “Sensors are the foundation tofacilita te smart cities, smart grids, and smart transportation, and distance sensors are especially importantfor sensing the environment and gathering information. Res earchers have developed various methods to calibrate distance sensors; however, they mainly focus on using external information for calibration, whichis ineffi cient and computationally expensive.”

Key words

Gliwice/Poland/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/Silesian University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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