Easy Video and Image Analysis.
Interactively orthorectify and overlay your video on scene data for accurate vehicle speed or position measurements. Solve for camera positions. You can even project images and video back into your scene and do 3D object overlays for more complex analyses. The process is quick and easy! Learn more about image and video analysis >
In the example below, we use the WREX 2023 crash test 3 orthomosaic and align it with one of the videos using clear reference points. Additionally, we have the scanner-based point cloud of the 1956 Ford Victoria. By combining the Ford point cloud with the video background of our calibrated video, we can determine the Ford's positions as a function of the frame number. This is demonstrated in the video below.
In the scene below, reference points were matched between Google Street View imagery and survey data collected using a laser scanner. These reference points were then used to calibrate the camera in Virtual CRASH. By projecting the Google Street View imagery back into the scene, an immersive 3D environment is created.
The video below shows a 3D motorcycle object superimposed over a crash test video, which is projected back into the scene and texture-mapping the terrain mesh. The camera view is that of the calibration solution.
Using the camera calibration and matching workflow above, one can superimpose Google Maps imagery (learn more) with Google Street View images screen-captured from a web browser.