Revolutionzing Surveying and Inspection with Autonomous LiDAR Drones

In an industry where precision, efficiency, and safety are paramount, autonomous LiDAR drones are transforming the landscape of surveying workflows in construction, underground cavity monitoring, industrial inspection, and geospatial mapping. By combining state-of-the-art sensors with advanced software algorithms, our drones can autonomously navigate complex environments and collect high-resolution data with precision.

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understanding autonomous lidar drones

Autonomous LiDAR drones, equipped with Light Detection and Ranging (LiDAR) technology, are changing the game in data collection. Using advanced LiDAR-based SLAM (Simultaneous Localization and Mapping), these drones navigate autonomously, even in environments where GPS is unreliable. They create detailed point clouds, capturing data with unparalleled accuracy and detail.

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At Exyn Technologies, we're proud to offer AL4 - Autonomy Level 4 - the highest level of aerial autonomy currently available
The AL4 Advantage: Autonomy Level 4

At Exyn Technologies, we're proud to offer AL4 - Autonomy Level 4 - the highest level of aerial autonomy currently available on all of our robots. This means our drones can navigate complex environments entirely autonomously, without any human pilot intervention. Operators simply have to define an area of interest and ExynAero chooses it's own waypoints to cover the entire scan in real time.

This is the algorithm at the heart of ExynAI which powers the autonomous ExynAero and portable ExynPak.

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How Does SLAM Using LiDAR System 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 3D-mapping 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 LiDAR-based 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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Industrial Applications for
Autonomous Aerial LiDAR Drones
Mapping and Survey

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Nexys: Modular Autonomy & 3D Mapping

Nexys is rugged and configurable. It can be quickly and easily switched between a variety of configurations - handheld, backpack, aerial robot, terrestrial robot, vehicle, pole, custom configurations. Built for the most extreme environments, users have the flexibility and cost efficiency to use one device in any mapping environment.

The resulting point cloud is a survey-grade 3D model that can be imported into a variety of construction, geospatial, or other analytical software for inspection and further analysis. 

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