首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
GliwicePolandEuropeCyborgsEmergi ng TechnologiesMachine LearningSilesian University of Technology
NETL
NSTL
