by Richard Horrocks
In our article Polishing the Asset Collection Workflow Using Autodesk InfraWorks & LiDAR, we explained how to increase the value of your LiDAR by running the Asset Collection tools in your model using Autodesk InfraWorks.
As we mentioned then, InfraWorks does a great job grouping the point assets into categories (poles, plants, signs and unknown); but to accurately reflect whether a feature that has been added, users need the Point Cloud Modeling tool to navigate to each of the objects that have been classified and validate them individually. In this process, a street sign could be set as a Stop Sign and a pole could be set as a Street Light. But is that really good enough? For an accurate model, users need to place a feature that matches the one in the real world. To get to that point, you have to review the point cloud group that has been extracted for that particular feature, or go to an external source, navigate to that position, and identify the object to select the right representation in InfraWorks, which is sometimes cumbersome or even impossible.
Unfortunately, this procedure is time consuming, tedious, and has the potential to leave features behind without being accurately reflected in the model. There is just not an easy and simple way to verify those elements, but you do have some options when it comes to improving this workflow.
Integrating tools like the CycloMedia Street Smart will allow you to review features from street-level and with high definition, take their measurements, and verify their location coordinates. In addition, the synchronization with the model will open the Street Smart view of your feature’s location just by hovering the mouse on the point from where the imagery was captured.
With this integration, you can find out instantly when, for instance, a pole has been misclassified as a street light, correct it and then go further to determine the exact type of pole that should modeled. You can also verify the X and Y from the Street Viewer, compare it with the pole, and move it to that exact location. You can also make corrections in case, as another example, a tree has been mistaken as a street light, and then determine the exact model of the street light, as shown in the video below.
With this workflow, users can avoid parallel navigation and reference checking in other systems to ensure that the objects they observe are the same, which can be time-consuming and create a loss of continuity in the task flow. You just need to ensure that in your InfraWorks library includes all the elements that you want to represent.
This simple integration with CycloMedia Street Smart can save you a lot of time by directly referring to a single source of truth when validating the collected assets. And with the high availability of real-world information in the application, you can finish your model in a fraction of the time with a higher level of accuracy.
Contact Brockwell today if you are interested in the point extraction process using CycloMedia Street Smart or would like to know more about the integration work we offer with CycloMedia.