I would expect a future version of Google Maps for Mobile to include integrated 3D, but it is probably not a priority them right now, because honestly, 3D is mostly bells and whistles. The real future of Google Maps is shown in the current Web version which offers integrated 2D, Satellite, 3D, Street View, Photo Tours, Photo Spheres, Transit, and Indoor Maps. For example, often when I am taking a road trip, I will "drive" the route near the final destination inside of street view in order to visually memorize the landmarks I need to recognize.Īlso, Google Earth is a separate product, and much more enterprise driven, it has substantially larger datasets than the consumer maps with lots more data overlay layers (KML support), even support for the Moon, Mars, and Sky Maps. The 3D view is nice for showing off, but it really doesn't have the utility of street level photos. This 1:1 comparison is pretty rock-solid evidence for how intellectually dishonest critisism against Apple tends to be, as well as the different standard they're held at, even by people who claim to despise the company. Meanwhile, Apple's version looks perfect, with an insane level of detail. Even now, almost a year after Apple maps was released and this imagery was mocked, Google STILL hasn't fixed theirs, and again- noone gives a shit or cares, especially Google cheerleaders. Noone ever noticed, and the ones who did didn't give a shit. Meanwhile, Google has had the SAME image with pretty much the EXACT SAME distortions- on a product they've been working on for 7 years. Major news sites such as CNN also used it, feigning shock and contempt. Every single fandroid and apple hater reposted it with glee, over and over again, and used it to troll about how bad the product was. The image was supposed to show just show shitty Apple maps was. The distorted image was used to headline pretty much every single negative Maps article, I must have seen it posted thousands of times, accompanied with mockery and denigration. You can find these and more datasets in our dataset repository as finished OctoMap files and sources in the form of 3D laser scans.The 3D Hoover dam image is the perfect litmus test to portray the insane discrepency between the coverage of Apple and Google products. Take a look at some of our example maps below. "OctoMap: An Efficient Probabilistic 3D Mapping Framework BasedĪutonomous Robots, 2013 DOI: 10.1007/s1051-0.īibTeX: = Mapping Framework Based Please let us know if you are using OctoMap, as we are curious to find out how it enables other people's work or research.Īdditionally, please cite our new journal paper (supersedes the ICRA 2010 workshop version) if you use OctoMap in your research:Ī.
Google map 3d for mac license#
The viewer octovis is released under the GNU-GPL License (version 2). OctoMap is released under the New BSD License. Issue tracker for bugs and feature requests.Mailing list for support and announcements (Google Groups).We would like to thankĪll additional authors for their contributions. Hornung, and is currently maintained by Armin Hornung.
Google map 3d for mac mac os#
Source distribution for Linux (recommended), Mac OS and Windows. The OctoMap library is available as a self-contained It is possible to generate compressed files for later usage orĬonvenient exchange between robots even under bandwidth constraints.ĭetailed information about the implemented approach and evaluations can be found in the paper "OctoMap: An Efficient Probabilistic 3D Mapping Framework Based on Octrees" (PDF), published in the Autonomous Robots Journal. The map is stored efficiently, both in memory and onĭisk. Scale from coarse overviews to detailed close-up views. This also allows for efficient visualizations which Is multi-resolution so that, for instance, a high-level planner isĪble to use a coarse map, while a local planner may operate using aįine resolution. Instead, the map is dynamically expanded as needed. The extent of the map does not have to be known inĪdvance. Furthermore, multiple robots areĪble to contribute to the same map and a previously recorded map is Measurements which result from dynamic changes in the environment,Į.g., because of dynamic objects. Modeling and updating is done inĪ probabilistic fashion. It is possible to add new information or sensor Unknown areas is important, e.g., for autonomous exploration of an
Space is essential for safe robot navigation, information about
Google map 3d for mac free#
While the distinction between free and occupied The representation models occupiedĪreas as well as free space. The map is able to model arbitrary environments The map implementation is based on an octree and is designed to meet the following OctoMap An Efficient Probabilistic 3D Mapping Framework Based on OctreesĪpproach, providing data structures and mapping algorithms in C++ particularly suited for robotics.
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