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相关概念视频

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...

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基于语义信息的移动机器人导航方法的研究

Ruo-Huai Sun1,2,3, Xue Zhao4, Cheng-Dong Wu1,3

  • 1College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种含义激光SLAM系统,具有深度学习和轨迹插曲,用于在动态的大规模环境中提供强大的移动机器人导航. 综合方法提高了绘图的准确性,并确保了流,稳定的机器人运动.

关键词:
斯拉姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯职业的概率 职业的概率一个点云,一个点云.语义激光是一个语义激光.

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉
  • 人工智能的人工智能

背景情况:

  • 在动态的大规模环境中移动机器人导航带来了重大挑战.
  • 现有的同时定位和映射 (SLAM) 系统与动态物体和大型场景作斗争.
  • 轨迹规划需要平滑稳定的运动,以实现有效的机器人性能.

研究的目的:

  • 开发一个集成的系统,用于移动机器人导航和轨迹插曲在动态的大规模环境中.
  • 在复杂的场景中提高SLAM的准确性和稳定性.
  • 为了确保流和稳定的机器人轨迹执行.

主要方法:

  • 一个语义激光SLAM系统利用深度学习 (PointNet++) 进行点云语义细分.
  • 在职业概率图中引入voxels来表示动态对象.
  • 使用语义信息和闭环全球地图优化生成全球环境描述符.
  • 用T轨迹插曲来进行运动规划和顺的轨迹过渡.

主要成果:

  • 在大型校园环境中改进了图形构建和循环闭合效应.
  • 从动态点云中有效地提取深层特征.
  • 在局部voxel地图中增强动态对象的表示.
  • 使用T-轨迹插值证明了目标点之间的无振动和稳定的过渡.

结论:

  • 拟议的语义激光SLAM系统结合深度学习和轨迹插值,为移动机器人导航提供了强大的解决方案.
  • 集成显著提高了在动态的大规模环境中的映射性能.
  • T-轨迹插曲有效地提高了机器人运动性能和轨迹稳定性.