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This is an interview with Jacob Baskin
The curbside might not seem like the most obvious focus point in terms of mapping the urban environment but when you start to think of the curb as a highly regulated space and when you consider the number of arrivals and departures that that place on the curb in crowded urban cities you might just change your mind. The curbside is actually an interface between vehicle traffic and pedestrians that has to enable a wide variety of use cases. Coord is helping organizations map the curbside, the assets on the curb and the locations of regulated spaces.
Most cities simply don't have detailed maps of the features that exist on or near the curb and regulation is almost always done using signs. This can lead to confusion about the actual permitted use cases and for reasons stated in the interview signs are not always as machine-readable as you might think. So not only are signs not always the best answer when it comes to communicating the laws around parking in a certain area to humans, they are also not the best way of helping autonomous vehicles understand the regulations around different curbside areas.
This episode is sponsored by HiveMapper
A platform that takes video and creates 3D mapping layers based on that data. The video can be from avariety of different sensors, does not need to be vertically looking down on the geography and each 3D output is georeferenced!
Commercial satellite providers produce somewhere between 100 and 200 terabytes of imagery a day ̶ a monstrous amount of information. Sentinel 2 has five years of daily refresh data. We have 40+ years of Landsat data. It’s a massive amount, particularly in the temporal dimension, where you can do longitudinal studies. Apache Spark and Raster Frames might just be the tools we need to handle this much data.
With the open data movement, there’s an ubiquity of data. We can let students pick their own data on topics that interest them. They find their own data for a geographic area they’re interested in, perhaps where they live or where they’d love to travel. They make connections to their own interests and lives. The more they’ll see the relevance of what they’re learning, the more they’re motivated.