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Using OpenStreetMap (organized by MyGeoData) data to model building, customer, and vendor locations in San Francisco, New York City, and Los Angeles and determine the required number of randomly distributed sensors to achieve a desired trajectory coverage portion for various path planning algorithms (straight-line, RRT*).

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BillyMazotti/uav_trajectory_coverage

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Code used for Remote Identification Trajectory Coverage in Urban Air Mobility Applications.

Using OpenStreetMap (organized by MyGeoData) data to model building, customer, and vendor locations in US cities and determine the required number of randomly distributed sensors to achieve a desired trajectory coverage portion for various path planning algorithms (straight-line, RRT*).

If you find our code useful and would like to use it for your own project, please cite our paper.

Code for Data Preparation and Experimentation will be uploaded soon!

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Using OpenStreetMap (organized by MyGeoData) data to model building, customer, and vendor locations in San Francisco, New York City, and Los Angeles and determine the required number of randomly distributed sensors to achieve a desired trajectory coverage portion for various path planning algorithms (straight-line, RRT*).

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