Note also, although my project details the construction of a Raspberry Pi recorder for high accuracy localization. If you are localizing over long distances and

Note also, although my project details the construction of a Raspberry Pi recorder for high accuracy localization. If you are localizing over long distances and you are happy a second or two inaccuracy from the arrival times, then indeed you can run the docker version of the program listed on GitHub and perform localizations based on mobile phone determinations of time of arrival. You just have to match the correct input format as detailed in the article. Specifically like the following: $ docker run -i localize_event 20 Enter GPS coordinates and timestamps. Press enter twice to finish. 51.014131667,5.813736667 2023-09-17_15-49-48.522301 51.015373333,5.811656667 2023-09-17_15-49-48.810330 51.016368332,5.814084879 2023-09-17_15-49-48.710824 51.015238333,5.815941667 2023-09-17_15-49-48.543376 Location: 51.014903961182846,5.814442712946816 Web links: OpenStreetMap: https://www.openstreetmap.org/?mlat=51.014903961182846&mlon=5.814442712946816#map=15/51.014903961182846/5.814442712946816 https://www.openstreetmap.org/?mlat=51.014903961182846&mlon=... Google Maps: https://www.google.com/maps?q=51.014903961182846,5.814442712946816&t=h&z=15 https://www.google.com/maps?q=51.014903961182846,5.814442712... Note also, you can simulate this easily by choosing locations on a map and calculating the expect time of arrivals. Then you can introduce one more seconds of error and see what difference it makes. It’s lovely to work things out for yourself but he could have saved himself some weeks of sleep by googling sound localization if that was his primary interest :-) It is weird that you can leg off air cannons all night for three weeks and not have the authorities on your head though.