Reports Outline Robotics Study Results from California Institute of Technology ( Caltech) (Pixel To Elevation: Learning To Predict Elevation Maps At Long Range U sing Images for Autonomous Offroad Navigation)

报告概述了加州理工学院(加州理工学院)的机器人研究结果(像素到海拔:学习利用图像预测远程海拔地图,用于自主越野导航)

Robotics & Machine Learning Daily News2024，Issue(Jun.28) ：114-115.

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Reports Outline Robotics Study Results from California Institute of Technology ( Caltech) (Pixel To Elevation: Learning To Predict Elevation Maps At Long Range U sing Images for Autonomous Offroad Navigation)

报告概述了加州理工学院(加州理工学院)的机器人研究结果(像素到海拔:学习利用图像预测远程海拔地图,用于自主越野导航)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-关于机器人的详细数据已经发布。根据NewsRx Edit ORS在加州帕萨迪纳的新闻报道，研究表明，“远程了解地形拓扑结构对于越野机器人任务的成功至关重要，特别是在高速航行时。激光雷达传感器目前主要依赖几何地图ping，在更远距离测绘时提供稀疏的测量。”这项研究的财政支持来自加州理工学院喷气推进实验室。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting out of Pasadena, California, by NewsRx edit ors, research stated, “Understanding terrain topology at long-range is crucial f or the success of off-road robotic missions, especially when navigating at high- speeds. LiDAR sensors, which are currently heavily relied upon for geometric map ping, provide sparse measurements when mapping at greater distances.” Financial support for this research came from California Institute of Technology at the Jet Propulsion Laboratory.

Key words

Pasadena/California/United States/Nor th and Central America/Emerging Technologies/Machine Learning/Robotics/Robot s/California Institute of Technology (Caltech)

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出版年

2024

Robotics & Machine Learning Daily News

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