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相关概念视频

Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

132
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
132
Distance Measurements by Taping01:18

Distance Measurements by Taping

106
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
106
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

172
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...
172
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

956
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
956
Distance Corrections01:15

Distance Corrections

91
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
91
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

129
A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
129

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相关实验视频

Updated: Sep 18, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
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使用3D地图和单眼相机测量尺度非固定障碍物距离.

Daijiro Higashi1, Naoki Fukuta1, Tsuyoshi Tasaki1

  • 1Graduate School of Science and Technology, Meijo University, Nagoya, Japan.

Frontiers in robotics and AI
|June 27, 2025
PubMed
概括

本研究介绍了DifSeg,这是一种新的损失函数,用于改进自动驾驶的公尺度障碍物检测. 使用单眼相机,DifSeg显著提高了对非固定障碍物的距离估计精度.

科学领域:

  • 计算机视觉 计算机视觉
  • 机器人技术 机器人技术 机器人技术
  • 自主系统 自主系统

背景情况:

  • 避开障碍对于自动驾驶安全至关重要.
  • 使用单眼相机检测米尺度障碍物是一个活跃的研究领域.
  • 像PMOD-Net这样的现有方法难以准确估计动态,未绘制障碍物的距离.

研究的目的:

  • 为了提高自动驾驶的非固定障碍物的距离估计精度.
  • 通过使用单眼相机,提高米尺度障碍物检测系统的性能.

主要方法:

  • 开发了一个新的损失函数,DifSeg,专门用于改进非固定障碍物的距离估计.
  • DifSeg利用对象检测结果,将培训重点放在非固定障碍区域上.
  • 将DifSeg集成到PMOD-Net中,这是一个使用单眼相机和3D地图检测障碍物的系统.

主要成果:

  • 在多个数据集 (CARLA,KITTI,室内) 中,DifSeg显著提高了对非固定障碍物的距离估计精度.
  • 在KITTI数据集中,拟议的方法实现了2.42米的距离误差,比最新的单眼深度估计方法的性能优于2.14米.
  • 该方法在现实世界和模拟的自动驾驶场景中展示了增强的性能.
关键词:
这是一个3D地图.自动驾驶自动驾驶的自动驾驶.在深度完成完成.单眼的深度估计估计.障碍物检测 障碍物检测 障碍物检测 障碍物检测语义细分 语义细分 语义细分 语义细分

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结论:

  • DifSeg损失功能有效地提高了自动驾驶的公尺度障碍物检测.
  • 这种方法为提高自动驾驶汽车的安全性和可靠性提供了有希望的解决方案,特别是在动态环境中.
  • 进一步的研究可以探索DifSeg与其他传感器模式的集成,以实现更强大的障碍物检测.