Another feature, which I think will make a big difference, is the clean-up tool, which allows you to clean your point cloud in the field, ultimately helping with registration.
Survey quickplan pro#
With our new release, the main added functionality is that you can use the integrated LiDAR sensors in the latest models of iPhone Pro and iPad Pro to capture stand-alone scans or complete existing point clouds captured with your Leica Geosystems scanners. Additionally, FIELD 360 lets you export data in different formats and forward data to office software.
Survey quickplan software#
It’s the only software that can perform in-field registration, enrich the data with measurements and tags and clean the point cloud directly in the field. Can you review the background of the app and introduce key features of the release?Ĭyclone FIELD 360 is the field application that controls most Leica scanners, including the Leica RTC360, Leica BLK360, and Leica ScanStation P-Series. Since its inception, Cyclone FIELD 360 has become a crucial tool for initial point cloud processing. In this Expert Insight, Simona Hriscu, terrestrial laser scanning (TLS) Product Engineer in Leica Geosystems' Reality Capture division, answers questions about these developments and shares how Cyclone FIELD 360 can put the point cloud in your pocket. Leica Cyclone developers saw this as an opportunity to augment their field application, Leica Cyclone FIELD 360, with innovations that both enhance capture results for existing users of Leica Geosystems laser scanners and support stand-alone scanning for those newly enabled by Apple’s LiDAR sensors. However, Apple’s 2020 release of iPhones and iPads equipped with LiDAR sensors suddenly made scanning available to an array of new users. While the potential is clearly in view, accessibility issues like cost or technical expertise have kept reality capture on the distant horizon for many. Businesses benefit as well – a burgeoning design firm can record accurate architectural details to create renovation plans and offer compelling 3D visualisations to clients. For example, scanning provides an important resource for professionals who make time-critical captures, like documenting crash scenes or digitally preserving endangered heritage sites. This is a long rambly post that probably seems a bit mad… Hopefully it helps someone.Laser scanning solutions hold great promise for users to develop digital reality deliverables across industries and use cases. It might have some issues, so let me know if you find any errors or have any questions. I’ve tested this in two real-world scenarios and a bunch of map checks. Unfortunately, it’s a lot easier to pick “right-most” than “most recent” on the fly, but in some edge cases this will leave some streets untraveled. These criteria usually match, but not always. As long as you are going down untraveled segments only (no second passes), and don’t cross your own line, the algorithm will work when you need it again.Īlso, the last step is a little tough: if you have traveled the second time down one street to an intersection of streets that you have only gone down once so far, usually you will choose the right-most option of once-traveled streets, but technically you must choose the one you went down most recently. That would be great if you’re doing a grid and you want to go up and down all the streets instead of doing little loopy backtracks.
If you want to fill in long streets in one go, that’s not a problem.
For biking, just ignore one-way streets altogether and you’ll be fine. You may be able to ride on the sidewalk, but that depends on your jurisdiction. Some caveats (mentioned on the chart as well): one-way streets break the route if you’re riding a bike legally. Here’s the chart, then some more details: It also involves checking your progress here and there, so basically, just don’t drive with this process. This flowchart is designed for cycling or walking, because it does involve a lot of u-turns. While riding today, I came up with a process to figure out what to do at each road intersection to achieve two-way coverage of every street without overlap. However, I only run one camera, and I want to get both directions of every street. I survey by bike almost exclusively, and while I plan a lot of my trips, sometimes I want to extend a ride into a new neighborhood.
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