首页|Study Data from Tsinghua University Provide New Insights into Machine Learning ( Machine Learning-based Prediction Approach for Ranging Resolution Enhancement of Fmcw Lidar System With Lstm Networks)
Study Data from Tsinghua University Provide New Insights into Machine Learning ( Machine Learning-based Prediction Approach for Ranging Resolution Enhancement of Fmcw Lidar System With Lstm Networks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Beijing, People’s Rep ublic of China, by NewsRx journalists, research stated, “Rangingresolution is o ne of the most important factors of frequency-modulated continuous wave (FMCW) light detection and ranging (LiDAR) systems, which is determined by the effective sweep bandwidth andobservation time of the ranging signal used for Fourier tra nsform. Conventional methods for resolutionenhancement either require expensive devices or complicated operation with human intervention, which ishigh-cost an d inefficient.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTsinghua University
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