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2. Google Maps - Wikipedia

   en.wikipedia.org/wiki/Google_Maps

   Google Maps' location tracking is regarded by some as a threat to users' privacy, with Dylan Tweney of VentureBeat writing in August 2014 that "Google is probably logging your location, step by step, via Google Maps", and linked users to Google's location history map, which "lets you see the path you've traced for any given day that your ...

3. Yahoo Maps - Wikipedia

   en.wikipedia.org/wiki/Yahoo_maps

   Maps Beta can recognize city, province, and country names, and provide a small-scale map or satellite views. Right click to set waypoint: an origin, destination, or midpoint can be set by right-clicking on the desired location on the map. Draggable markers: Any marker can be dragged to the 'Get Map' text entry area to add that location to a route.

4. Apple Maps - Wikipedia

   en.wikipedia.org/wiki/Apple_Maps

   Apple Maps is a web mapping service developed by Apple Inc. As the default map system of iOS, iPadOS, macOS, and watchOS, it provides directions and estimated times of arrival for driving, walking, cycling, and public transportation navigation.

5. Flyover (Apple Maps) - Wikipedia

   en.wikipedia.org/wiki/Flyover_(Apple_Maps)

   Flyover is a feature on Apple Maps that allows users to view certain areas in a 3D setting. Flyover also allows users to take "tours" of these locations through the City Tours feature, showcasing various landmarks in the area. Imagery is provided through the use of planes, which collect fine data on buildings.

6. Mercator projection - Wikipedia

   en.wikipedia.org/wiki/Mercator_projection

   The projection found on these maps, dating to 1511, was stated by John Snyder in 1987 to be the same projection as Mercator's. [7] However, given the geometry of a sundial, these maps may well have been based on the similar central cylindrical projection, a limiting case of the gnomonic projection, which is the basis for a sundial. Snyder ...

7. Robotic mapping - Wikipedia

   en.wikipedia.org/wiki/Robotic_mapping

   Robotic mapping is a discipline related to computer vision [1] and cartography.The goal for an autonomous robot is to be able to construct (or use) a map (outdoor use) or floor plan (indoor use) and to localize itself and its recharging bases or beacons in it.