Google has announced that it will introduce multiple new features using AI for iOS/Android apps for improving the "Google Map" function scheduled for 2021.
At airports, stations, shopping malls, etc., a function to display navigation information on live view video taken with a smartphone camera is available.
AI scanning a street view image of hundreds of billions of AI, and realized by global localization technology that recognizes the orientation of the user.The nearest elevator, escalator, gate, ticket counter, toilet, etc. can be found in live views.It is said that the number of floors of the store and how to get there.
It is already available in shopping malls in several US cities, and within the next few months, it will be deployed at some airports, shopping malls, and transportation in Tokyo and Zurich.It is said that it is progressing in many cities.
A new weather layer will be added, and the Google Map will be able to check the weather forecast, and a layer related to air quality (clean air) will be added.It will utilize data from partner companies, and will be available in iOS/Android apps within the next few months.Weather forecasts will be available for glow -bars, will be available in Australia, India, and the United States, and will expand to more countries in the future.
The navigation function implements a function that proposes a route with a low emission of carbon dioxide (CO2).Google has built a new routing model that optimizes fuel consumption reduction based on factors such as road inclination and traffic congestion.For example, if you arrive at almost the same time as the fastest route, you will select an "environment -friendly route" with the lowest CO2 emissions by default.
If these routes can greatly increase your arrival time, you can compare the relative CO2 effects between the routes so that you can choose which route.If you always need the fastest route, you can change the settings.This feature will be provided in the United States for iOS/Android apps in the United States in late 2021, and will be deployed globally.
In addition, it supports comprehensive view display of all transportation that can be used on the route to the destination.It is possible to compare the time to reach there by car, various transportation, and bicycles without switching tabs.Machine learning proposes transportation methods often used by users (when riding a lot of bicycles, more bicycle routes are automatically displayed), and in cities where subways such as New York, London, and Tokyo are often used.It is said that the mode will come to the top of the navigation proposal.These will be developed globally with the iOS/Android app within the next few months.