Robotics & Machine Learning Daily News2024,Issue(Dec.3) :180-180.

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)

清华大学的研究数据为机器学习提供了新的见解(基于机器学习的Lstm网络Fmcw激光雷达测距分辨率增强预测方法)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :180-180.

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)

清华大学的研究数据为机器学习提供了新的见解(基于机器学习的Lstm网络Fmcw激光雷达测距分辨率增强预测方法)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习的新报告。根据新闻报道由NewsRx记者发起的来自中国人民代表大会北京的研究称,"范围广泛"分辨率是调频连续波(FMCW)l的最重要因素由有效扫描带宽和有效扫描带宽决定的(LiDAR)系统傅立叶变换测距信号的观测时间。常规分辨率方法增强要么需要昂贵的设备,要么需要复杂的人工干预操作,这是非常困难的高成本和低效率。

Abstract

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.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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