Faster and Higher-Precision Mobile Mapping through AI

通过人工智能实现更快、更高精度的移动测绘

• 批准号: 971736
• 金额: $ 12.72万
• 依托单位: INTERGRAPH UK LTD SG&I
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=971736
• 关键词: Faster; Higher; Precision; Mobile; Mapping

Faster and Higher-Precision Mobile Mapping through AI. This challenge is in line with Hexagon's belief that a true modernisation of the rail industry lies in automating the various workflows that are common within the industry. To deal with the daily challenges that rail professionals are facing, Hexagon has been exploring and started developing the concept of mobile mapping: a sensor is installed on a train and at normal track speed qualitative data is captured which can be used for different analysis afterwards. The potential applications are endless! Hexagon is a pioneer and market leader in the development of both hardware and software solutions which already allow some of this potential of mobile mapping to be unlocked. The "Pegasus:Two" sensor captures high qualitative point cloud data whereas the "Rail:Factory" software is used to unlock the potential with the data that is captured. Not surprisingly both Pegasus:Two and Rail:Factory are currently already used in several production environments within the Rail Industry across the globe. Mobile mapping is a process that is subject to continuous improvement: both in our hardware and software we strive to improve. The hardware is continuously improved to capture more details while riding on the track; Rail:Factory is improved by continuously enhancing its capabilities and developing new features. For this project we aim to make a major step change in performance and outcome through in depth use of Artificial Intelligence (AI). Currently Rail:Factory is already able to classify structures and objects to a certain extent. The innovation we'll focus on during this competition will be to increase the intelligence of our software. We will train the software to derive more detailed classifications than the rough categories which currently can be discovered. When we achieve this there will be a major increase in the potential of mobile mapping. Hand-in-hand with more powerful sensors which can capture more detail, the intelligent software that uses the captured data can in the long run swiftly detect any potential risks like a damaged bridge, slumping embankment or encroaching vegetation near the tracks and signal this pro-actively to the maintenance teams. At Hexagon we believe the future of mobile mapping lies exactly there: data is captured swiftly and without causing any delays or putting any lives at risk, while quickly utilising the data as captured, automated processes using this data assist the Rail personnel to detect the most imminent problems, to prioritise and to maintain a highly qualitative rail infrastructure

通过人工智能实现更快、更高精度的移动的地图绘制。这一挑战符合海克斯康的信念，即铁路行业的真正现代化在于自动化行业内常见的各种工作流程。为了应对铁路专业人士面临的日常挑战，海克斯康一直在探索并开始开发移动的测绘概念：在列车上安装传感器，并在正常轨道速度下捕获定性数据，这些数据可用于事后的不同分析。潜在的应用是无穷无尽的！Hexagon是硬件和软件解决方案开发的先驱和市场领导者，这些解决方案已经允许释放移动的地图的一些潜力。“Pegasus：Two”传感器捕获高质量的点云数据，而“Rail：Factory”软件用于释放捕获数据的潜力。毫不奇怪，Pegasus：Two和Rail：Factory目前已经在地球仪的铁路行业的几个生产环境中使用。移动的地图绘制是一个不断改进的过程：我们努力改进硬件和软件。硬件不断改进，以在轨道上行驶时捕捉更多细节; Rail：Factory通过不断增强其功能和开发新功能进行改进。对于这个项目，我们的目标是通过深入使用人工智能（AI），在性能和结果方面做出重大改变。目前，Rail：Factory已经能够在一定程度上对结构和对象进行分类。在这次比赛中，我们将重点关注的创新将是增加我们软件的智能。我们将训练软件，使其获得比目前可以发现的粗略类别更详细的分类。当我们实现这一目标时，移动的地图的潜力将大大增加。与能够捕获更多细节的更强大的传感器携手，使用捕获数据的智能软件可以从长远来看迅速检测任何潜在的风险，如损坏的桥梁，坍塌的路堤或轨道附近的植被侵蚀，并主动向维护团队发出信号。在海克斯康，我们相信移动的地图的未来就在那里：数据被迅速捕获，不会造成任何延迟或使任何生命处于危险之中，同时快速利用捕获的数据，使用这些数据的自动化流程帮助铁路人员检测最紧迫的问题，优先考虑并维护高质量的铁路基础设施