Geospatial Reality Capture:
Revolutionizing Surveying and Mapping with LiDAR-Based SLAM Technology

Welcome to the frontier of geospatial reality capture, where the convergence of advanced LiDAR-based SLAM (Simultaneous Localization and Mapping) technology and the ingenuity of products like Nexys are reshaping the way we map and understand our world.

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The evolution of laser scanning for surveying

This groundbreaking approach is not just a leap forward in surveying and data collection—it's a transformative journey into the future of digital twins and precise, real-world replications.

Reality capture is more than just a buzzword; it's a transformative technology that enables the creation of digital twins of real-world environments. This is particularly vital in areas where manual surveying is challenging or dangerous. With our advanced reality capture laser scanners, you can effortlessly map vast terrains or intricate spaces, ensuring survey-grade accuracy in your projects.

Embracing Efficiency with LiDAR-based SLAM Robots

In the realm of geospatial reality capture, efficiency is key. Traditional methods often require extensive manpower and multiple trips to the field, resulting in increased time and costs. LiDAR-based SLAM robots, however, redefine this process, offering unparalleled efficiency and accuracy. By integrating mobile reality capture technologies, these robots capture detailed 3D data in a single pass, significantly reducing the need for repeated site visits.

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How Does SLAM Work?

Simultaneous Localization And Mapping (SLAM) is a complex algorithm that allows a robot, such as an autonomous drone, to map an unknown environment while simultaneously tracking its position within it. It's particularly vital in navigating GPS-denied areas such as underground terrain. 

SLAM can use various sensors to visualize its surroundings, including LiDAR, ultrasonic sensors, and cameras. LiDAR-based SLAM uses a LiDAR (Light Detection and Ranging) sensor to “see” its environment. Here’s how that process works:

  • A LiDAR sensor emits laser pulses and measures the time it takes for the laser to reflect from surrounding objects.
  • ExynAI creates a 3D point cloud map of its environment by analyzing where these points are in relation to the robot's internal measurement unit (IMU)
  • ExynAI then transforms the dense point cloud map into a voxel grid to estimate its position, allowing it to find safe flight corridors and navigate its environment intelligently.
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Pros of using a handheld laser scanner: 

  • GPS-Independent: SLAM systems function in enclosed spaces with feature-rich environments where GPS is degraded or unavailable. 
  • No Light, No Problem: LiDAR-based SLAM systems can operate with little to no light, making it perfect for overnight inspections, search & rescue, and surveying hard to reach areas. 
  • Real-Time Mapping: SLAM systems create maps on the go, adapting to dynamic obstacles while capturing a complete, accurate 3D model. 
  • Survey-Grade Accuracy: after capture, rich 3D point clouds can be post processed and geo-referenced for survey grade accuracy directly onsite via a ruggedized tablet. 
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Field-to-Finish Workflows:
A New Era in Data Collection and Reality Capture

The integration of LiDAR-based SLAM technology into surveying facilitates a seamless field-to-finish workflow. From the moment of data collection to the final analysis and representation, the process is streamlined and cohesive. With ExynAI, quickly captured maps are processed to minimize drift and errors, ensuring that the data collected is as close to reality as possible.

Benefits for Geospatial Surveyors

  • Survey Grade Accuracy: Achieve unparalleled precision in data collection, essential for detailed and accurate mapping.
  • Speed and Efficiency: Significantly reduce the time required for data collection and processing, enabling faster project turnaround.
  • Safety in Challenging Environments: Safely conduct surveys in GPS-denied or hazardous areas without compromising data quality.
  • Cost-Effectiveness: Minimize the need for multiple site visits and manpower, reducing overall project costs.
  • Advanced Data Analysis: Leverage ExynAI's post-processing pipeline for refined data and reduced errors, enhancing the quality of the final output.
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In summary, the integration of LiDAR-based SLAM technology into surveying workflows is revolutionizing the field of geospatial data. This technological collaboration offers unprecedented accuracy, efficiency, and safety in mapping and surveying, transforming the way industries view and interact with their physical spaces in capturing reality.

Are you ready to experience the future of geospatial reality capture? Contact us today to book a demo or learn more about how our reality capture solution can empower your next project. Step into a world where mobile mapping is no longer a task but an exploration into the very fabric of our reality.

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