Visual sensing for localisation and mapping in mining

用于采矿中定位和绘图的视觉传感

• 批准号: LP140100946
• 负责人: Prof Ian Reid
• 金额: $ 16.92万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-01-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP140100946
• 关键词: Visual; sensing; localisation; mapping; mining

The creation of high quality survey data is integral to productivity and safety in mining and mining exploration. The current state-of-the-art mine surveying involves scanning from a number of fixed points using laser range-finding equipment (LIDAR). The aim of this project is to develop camera systems and computer vision algorithms to improve the speed and accuracy of this digital mapping of mines, to allow accurate mapping in locations denied GPS, and in locations where LIDAR cannot be deployed. The project aims to develop methods to assess these data to detect long-term trends such as shifts in mine drives which may be indicative of stress build-up. The new technology intends to impact both productivity and safety within mining.

创建高质量的测量数据对于采矿和采矿勘探的生产率和安全性至关重要。目前最先进的地雷测量是利用激光测距设备从若干固定点进行扫描。该项目的目的是开发摄像系统和计算机视觉算法，以提高地雷数字测绘的速度和准确性，以便在没有GPS的地点和无法部署激光雷达的地点进行准确测绘。该项目旨在制定评估这些数据的方法，以发现长期趋势，例如可能表明应力积聚的矿井掘进的变化。这项新技术旨在影响采矿的生产力和安全性。