首页> 外文会议>IEEE/AIAA Digital Avionics Systems Conference >Precision Four-Dimensional Digital Mapping Teaches Humans and Machines to See In the Dark
【24h】

Precision Four-Dimensional Digital Mapping Teaches Humans and Machines to See In the Dark

机译:精密的四维数字制图,教人与机器在黑暗中看

获取原文

摘要

Safe and efficient aircraft navigation in challenging environments such as congested airports and metropolitan areas demands mapping solutions with the highest possible precision. Advances in imaging, onboard sensors, and always-connected aircraft provide the real time accuracy needed to operate in such conditions. This paper presents the results of over seven years of research, development, and commercial production of high precision digital mapping for piloted and autonomous aerospace systems and provides examples of the application of those systems to meet the navigation challenges of today and tomorrow. We review new developments using sub-centimeter survey techniques and proprietary tool chains to integrate data collected from in-flight and space-based sensors. These techniques have achieved sub 1-meter accuracy, producing mapping databases of airports and urban flying areas that are five to ten times more accurate than the aircraft mapping solutions flying today. We also discuss the essential role that temporal (4D) mapping will play as the industry strives to achieve not only greater accuracy, but greater responsiveness to aviation environments in which mapped artifacts and surrounding obstacles shift with time. Representing ground transport vehicles in an airport, or the installation of a new building crane in an urban setting, not only requires dramatically more frequent mapping database updates than the current 28-day cycle, but also near real-time integration of dynamic environmental data. To support the 4D perspective, a cloud-based repository has been prototyped that stores digital maps that are continuously updated with data drawn from a wide universe of sources ranging from Notices to Airmen (NOTAMS) to sensor data “crowd sourced” from vehicles in flight.
机译:在拥挤的机场和大都市区等充满挑战的环境中,安全,高效的飞机导航需要尽可能高精度的地图解决方案。成像技术,机载传感器和始终连接的飞机的进步提供了在这种条件下运行所需的实时精度。本文介绍了经过七年研究,开发和商业化生产的用于飞行员和自动驾驶航空系统的高精度数字地图的结果,并提供了这些系统的应用实例,以应对当今和未来的导航挑战。我们使用亚厘米级测量技术和专有工具链来回顾新的发展,以整合从飞行中和基于空间的传感器收集的数据。这些技术已达到1米以下的精度,所生成的机场和城市飞行区域的制图数据库的精度是当今飞行的飞机制图解决方案的五至十倍。我们还讨论了时间(4D)映射将在行业内努力实现的重要作用,这不仅是为了提高精度,而且是对航空环境的快速响应,在这种环境中,映射的工件和周围的障碍物会随时间推移而变化。代表机场中的地面运输车辆或在城市环境中安装新的建筑起重机,不仅需要比当前的28天周期更加频繁地更新地图数据库,而且还需要动态环境数据的实时集成。为了支持4D透视图,已建立了基于云的存储库原型,该存储库存储了数字地图,该数字地图使用从通知,飞行员(NOTAMS)到从飞行中的车辆“人群”获取的广泛数据源中提取的数据不断进行更新。 。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号