Leica Pegasus:背包可穿戴移动映射解决方案

The award-winning wearable reality capture platform that collects data indoors, outdoors and underground

Leica GeosystemsMobile Sensor Platform - Leica Pegasus:Backpack

The Leica Pegasus:Backpack is an award-winning wearable reality capture sensor platform. A highly ergonomic design combines five cameras offering fully calibrated 360 degrees view and two LiDAR profilers with an ultra-light carbon fibre chassis. It enables extensive and efficient indoor or outdoor documentation at a level of accuracy that is authoritative and professional.

This unique mobile mapping solution is designed for rapid and regular reality capture. It is completely portable, enabling it to be checked in as luggage on a flight. The Pegasus:Backpack is designed to act a sensor platform with our standard external trigger and sync port outputs.

BIM – map indoors, outdoors, underground, anywhere

The Pegasus:Backpack makes progressive professional BIM documentation a reality. It synchronises imagery and point cloud data, therefore assuring a complete documentation of a building for full life cycle management. By using SLAM (Simultaneous Localisation and Mapping) technology and a high precision IMU, it ensures accurate positioning with GNSS outages.

工业培训 - 基于现实的信息以进行快速响应

在匆忙进入紧急情况之前,了解和了解景观可以挽救生命。在3D模型和图像中记录任何站点,以快速,安全有效的响应。结合Autodesk,InterGraph和其他软件,基于现实的工业培训可通过最准确和最新的数据集增强。

安全与保障 - 紧急情况下明智的决定

Pegasus:背包可以帮助您在紧急情况下在紧急情况下做出更好,更快的决策,因为访问了更准确的数据。疏散计划和路线映射受益于清晰,详细的图像和点云,这些图像和点云警报任何更改。访问人口稠密的地区,提供准确和当前的地图,使城市当局对情况有更清晰,更深入的了解。

Natural disaster response – minimise damage and save lives

For the first time, responders to natural disasters can capture disaster area data in 3D on foot. Faster response times translate into lives saved and damage minimised. Capture the critical data needed to make faster and better informed decisions that increases chances of survival and reconstruction.

请与我们联系以获取更多信息或请求演示。


Leica Pegasus:Backpack Webinar

了解该可穿戴平台如何捕获和校准图像使用点云数据,即使在受GNSS估计的区域中也是如此。

了解该可穿戴平台如何捕获和校准图像使用点云数据,即使在受GNSS估计的区域中也是如此。