Street Level Recording

Street Level Recording Enrichment by Yado-VR

Several Street Level Recording companies offer a complete end-to-end solution for imagery collecting, automated data processing and cloud based hosting of geo–referenced imagery, as well as developer tools for creating and distributing applications that benefit from this data.

Mostly this is done by using systems capable of capturing full 360 degree spherical panoramic images, that are geometrically correct, while in motion.

Large-scale production of 3D point clouds from their panoramic images is the way forward. Key in this implementation is the precision and reliability of every single point in the 3D point cloud, as well as high throughput enabling large-scale projects.

Together, these developments are aimed to lead to even higher quality and even more precise and realistic 3D street level data for a multitude of applications.

The conclusion is that LIDAR Object Detection and Classification is key to having accurate 3D street level data output, and that is where Yado-VR steps in, enriching and completing the “picture”.

The Third Dimension in City Maps

Geospatial information is traditionally collected and displayed in two dimensions. However, to successfully manage growth, our increasingly complex society and infrastructures require more detailed spatial information

The Need For a 3D View

Many global players have jumped into the cartography pool and currently present realistic-looking 3D maps that let users move around in major metropolitan areas that are rendered in photorealistic detail, but only from a bird”s eye view. What is missing from these 3D maps is a realistic 3D street level component

The Need for Detection

Maintaining an up-to-date record of the number, type, location, and condition of high-quantity low-cost roadway assets such as traffic signs is critical to transportation inventory management systems. While, databases such as Google Street View contain street-level images of all traffic signs and are updated regularly, their potential for creating an inventory databases has not been fully explored. The key benefit of such databases is that once traffic signs are detected, their geographic coordinates can also be derived and visualized within the same platform.