Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
High detailed true ortho photo of the road and its direct surroundings
The street ortho is derived and generated from Cyclomedia’s HD Cycloramas and LiDAR point clouds, at street level without the obstruction of trees, flyovers or moving vehicles that block the view.





Street Ortho: High-detail orthographic road imaging from LiDAR and Cycloramas
Street ortho is a high detailed true ortho photo of the road and its direct surroundings, without any obstruction from trees, bridges, overpasses or moving objects. Street Ortho gets generated out of our LiDAR Point Clouds and Cycloramas, both synchronically collected by our mobile mapping system. By combining them, we create a true ortho photo from the ground up.
Cyclomedia’s Street Ortho quickly translates reality into a digital visualization by providing an orthographic, top down view of the road and its immediate surroundings. It removes perspective distortion and visual occlusion, enabling accurate surface level analysis that integrates seamlessly with GIS and asset management workflows. Whether your goal is analyzing the road network, mapping out entire areas or updating map data of smaller areas within, Street Ortho enables performing the task with high precision.
Street ortho enables faster and more consistent decisions
Street Ortho provides a uniform, orthographic view of road surfaces that supports objective evaluation across entire networks. This consistency allows teams to compare conditions, prioritize maintenance, and justify decisions using the same reliable data foundation.