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Your Questions Answered—Answers to Live Questions Asked During Our Webinar with GeoSLAM
Last Wednesday, November 9, we hosted a webinar titled “How to Make Survey-Grade 3D Models with the Elios 3 and GeoSLAM Connect.†It was one of our most popular webinars yet, with nearly 1,000 registrations and more questions than ever before. Due to time constraints, we couldn’t answer every question during the live session, so we’ve compiled this detailed Q&A to cover all the topics that came up. Feel free to scroll through or use the menu below to jump directly to the section you’re interested in.
Here’s a quick navigation guide:
- **Questions related to accuracy and precision testing**
- **GeoSLAM and data processing questions**
- **Elios 3 operations and best practice questions**
- **LiDAR-related questions**
- **LiDAR data collection questions**
If you want to dive deeper into the two accuracy tests we covered in the webinar, check out these white papers for full details:
- [Testing Global Accuracy and Georeferenced Accuracy in 3D Mapping with the Elios 3 and GeoSLAM Connect](#)
- [Testing Local Accuracy and System Precision in 3D Mapping with the Elios 3 and GeoSLAM Connect](#)
And if you missed the live session, you can watch the recording by filling out the form on this page.
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### Questions Related to Our Accuracy and Precision Testing
**Q: Is the accuracy reported from the global accuracy and georeferenced accuracy test only valid when using the silver reference pads?**
A: The silver reference pads (or reflective targets) are not required to achieve the accuracy we reported. The results apply to scans taken without any targets. These targets were used only to create a repeatable feature for comparison between the Elios 3 scan and the reference scan, not to enhance the actual accuracy of the LiDAR data.
**Q: Is it possible to improve the accuracy, maybe with a scanner that has greater accuracy?**
A: Future software and hardware upgrades may offer improvements, but we don't have specific timelines. The latest Ouster sensor offers better precision and range, and future GeoSLAM updates may allow non-rigid registration of GCPs, which could further boost accuracy.
**Q: Is the accuracy error of Flyability due to the flight or the device capabilities?**
A: The error is the result of multiple factors, including the sensor and mapping algorithms, the drone's flight path (especially speed and coverage), the registration method, and how target centroids are selected for error calculation.
**Q: The flight time for the Elios 3 is 8.5 minutes but the accuracy results shown were based on three flights—so how is the accuracy based on one flight?**
A: Each 8.5-minute flight captured the entire asset, and each individual scan was analyzed for accuracy.
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### GeoSLAM and Data Processing Questions
**Q: Can I create a textured mesh out of this data?**
A: GeoSLAM doesn’t natively support textured mesh creation, but other 3D software can convert the point cloud into a mesh.
**Q: Would it be possible to export a timestamped trajectory and point cloud to use inside TerraMatch for time-based corrections?**
A: Yes, both the point cloud and timestamped trajectory can be exported and reprocessed in GeoSLAM Connect.
**Q: Can you combine your 3D model with picture recognition or tags?**
A: Tags are being explored, but no specific timeline has been set for their release.
**Q: After merging multiple flights within GeoSLAM Connect, can the file be exported to Autodesk Recap Pro? Or can GeoSLAM Connect mesh the point cloud?**
A: The file can be exported as E57 for CAD import. With GeoSLAM Draw, you can also mesh the point cloud or export it to CAD formats.
**Q: Can I generate a colorized point cloud?**
A: Yes, the point clouds are colorized using LiDAR intensity values, which provide some texture and shape visibility, though they aren’t real RGB colors.
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### Elios 3 Operations and Best Practice Questions
**Q: How can we receive training to develop skills to not only fly the Elios but to learn more about case use scenarios?**
A: Flyability offers AAIM training that covers various use cases. Learn more and enroll [here](#).
**Q: Is there a way to use a tether system for recovery of the drone?**
A: We generally don’t recommend tethers except in silos or ore passes, as the risk of tangling is high.
**Q: How does it behave in underground mines if it flies below sea level?**
A: The Elios 3 operates well in underground environments and can fly from -3000m to 5000m. At high altitudes, special precautions are needed due to low air density.
**Q: What is the max distance with the Range Extender? How far can the Elios 3 fly from the pilot?**
A: In straight lines, the drone can fly up to 500 meters. However, symmetrical environments like sewers may challenge the LiDAR.
**Q: Is it possible to integrate another type of sensor into the Elios 3? Which protocol can I use?**
A: While we don’t currently offer this, the Elios 3 has a second modular payload slot for future integrations.
**Q: Can I capture images with Flyability's drones? What are the images' resolution?**
A: Yes, the Elios 3 captures 12MP images with excellent lighting.
**Q: Can the drone be bought without the LiDAR payload?**
A: Not at the moment, but the LiDAR can be removed for missions where it's not needed.
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### LiDAR Questions
**Q: What is the distance limit of the LiDAR?**
A: The LiDAR can reach up to 30 meters, but for optimal accuracy, we recommend flying within 10 meters of the object.
**Q: What is the file extension of the LiDAR?**
A: The raw data is saved in .bag format, but after processing, you can export to .las, .laz, .ply, .txt, or .p57.
**Q: How many points per second does the LiDAR sensor create?**
A: 300,000 points per second.
**Q: Is the LiDAR single or multiple return?**
A: The OS0 sensor is multi-echo and returns the strongest echo.
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### LiDAR Data Collection Questions
**Q: How do you control the Elios 3’s flight speed during data collection to keep it constant?**
A: In Assist mode (ATTI), the drone won’t exceed 1.5 m/s, which is ideal for LiDAR data collection.
**Q: About pipe inspections, how can I prevent a wrong SLAM result?**
A: Pipes are challenging due to symmetry. If possible, include features like bumps or corners in the field of view. Flying sideways can help due to the wider side FOV.
**Q: Would it be possible to control the scanner field of view used to create a point cloud in GeoSLAM Connect now or in the future?**
A: This feature hasn’t been investigated yet, but it’s something we might consider in the future.