The new Immersive View for routes in Google Maps offers travelers an entirely new way to preview every step of their journey, whether they are driving, walking, or cycling. This feature is currently rolling out in various cities, including Amsterdam, Barcelona, Dublin, Florence, Las Vegas, London, Los Angeles, Miami, New York, Paris, San Francisco, San Jose, Seattle, Tokyo, and Venice on Android and iOS.
To make the most of Immersive View for routes and find fun things to do, travelers can follow these steps:
1. Request directions for their preferred mode of transportation, such as driving, walking, or cycling.
2. Tap the Immersive View preview to see the route in a stunning, multidimensional view from start to finish.
3. Prepare for each turn with detailed, visual turn-by-turn directions and use the time slider to plan when to head out based on helpful information, like simulated traffic and weather conditions.
4. Explore landmarks, restaurants, and other attractions along the route to plan enjoyable activities.
Immersive View for routes leverages AI to fuse together billions of Street View and aerial images, providing travelers with a comprehensive visual understanding of their journey. This feature allows users to see all the information they need about their route at once, including bike lanes, sidewalks, intersections, and parking along the journey.
In addition to Immersive View for routes, travelers can also use Lens in Maps to quickly acclimate themselves to their surroundings, find nearby points of interest, and navigate with confidence using the more detailed map updates. Furthermore, the new ways to search in Google Maps provide photo-first results based on the analysis of billions of photos shared by the Google Maps community, helping travelers discover new spots that match their interests and find thematic place suggestions for activities and dining.
These updates aim to provide travelers with a more immersive and enjoyable experience, leveraging AI and advanced technologies to enhance trip planning, navigation, and exploration[1].
Citations:
[1] https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/4795482/0661b439-702a-44d4-92db-72cd0daa8290/paste.txt
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