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Category Archives: Urban

This concept from Audi is something close to what I was thinking about for couple of months. How to introduce urban scale Augmented Reality into automobile industry. Current examples of heads up displays are good for night vision and navigational/telemetrics aid. However a car has 4 to 6 AR displays available. Think about that !

You can read the whole article from the Hindu

The “Greenest of All Buildings” was recently completed in Mumbai, India and we couldn’t be more appalled. The Antilia house which unveiled its first renderings just over two-years ago has become a frightening reality, egregiously boasting 27 stories at 568 feet high, with a total area of over 398,000 square feet of living space.

http://inhabitat.com/worlds-largest-and-most-expensive-family-home-completed/

At www.mta.me, Conductor turns the New York subway system into an interactive string instrument. Using the MTA’s actual subway schedule, the piece begins in realtime by spawning trains which departed in the last minute, then continues accelerating through a 24 hour loop. The visuals are based on Massimo Vignelli’s 1972 diagram.

Read more here.

Automatic Construction of Travel Itineraries using Social Breadcrumbs

From the abstract:

Vacation planning is one of the frequent—but nonetheless laborious—tasks that people engage themselves with online; requiring skilled interaction with a multitude of resources. This paper constructs intra-city travel itineraries automatically by tapping a latent source reflecting geo-temporal breadcrumbs left by millions of tourists. For example, the popular rich media sharing site, Flickr, allows photos to be stamped by the time of when they were taken and be mapped to Points Of Interests (POIs) by geographical (i.e. latitudelongitude) and semantic (e.g., tags) metadata.

Leveraging this information, we construct itineraries following a two-step approach. Given a city, we first extract photo streams of individual users. Each photo stream provides estimates on where the user was, how long he stayed at each place, and what was the transit time between places. In the second step, we aggregate all user photo streams into a POI graph. Itineraries are then automatically constructed from the graph based on the popularity of the POIs and subject to the user’s time and destination constraints.

Images of the beautiful sky city INSILICO in Second Life, where we were in class today. Sadly it took a very long time to rez, so hopefully these on my Flickr will make up for what we couldn’t properly see while we were there.

More images of Insilico can also be found in the INSILICO Flickr pool.

The blog post I wrote for INSILICO on the NPIRL blog is here.