Localizing position in GPS denied environments
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Computer vision technology to determine location based on visual information from surroundings.
Visual localization can be done by analyzing images or video captured by the device‘s camera and comparing them to a pre-recorded map of the area. The device can then use this information to calculate its position relative to known landmarks or other features in the environment.
One key advantage of visual localization is that it does not rely on external signals, such as GPS, to determine location. This makes it an attractive option for use in GPS-denied environments, such as indoors, underground, or in areas where the satellite signal is blocked or disrupted.
The DoD (Department of Defense) can leverage this technology in a number of ways, such as by using it to help soldiers navigate unfamiliar terrain, to locate and identify targets on the battlefield, and to guide autonomous vehicles. Visual localization can be particularly useful in situations where GPS signals are unavailable or unreliable, such as in urban canyons, forests, or other areas where the satellite signal is obstructed. Autonomous vehicles, such as drones or ground robots, could also use visual localization to navigate through complex environments, such as forests or urban areas.
In addition to its use in navigation, visual localization can also be used for mapping and surveying. By capturing images or video of an area and comparing them to a pre-recorded map, it is possible to create an up-to-date, accurate map of the area. This could be useful for identifying changes in the environment, such as new buildings or roadways, or for creating detailed maps of unfamiliar areas.
Vidrovr’s visual localization system enables it to differentiate itself in 4 core way:
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