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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!
I liked the geospatial component of things. I enjoyed solving a problem and then seeing the result. It wasn’t just a Microsoft Excel model or some database table. It was something I could visualize in GIS software. If there had been a path to becoming a more in-depth GIS analyst at this company, I might have stayed on it.
What is a voxel?. It’s a 3D volumetric pixel, a cube. But voxels are nothing new. They’ve been used extensively in two key areas within computing. Computer games render worlds and use voxels instead of polygons. Minecraft is a good example — it’s a voxel rendered world. Gaming companies love voxels for their multi-resolution capability over polygons. Robotics uses voxels for image processing to reduce the size of LIDAR point clouds and to create small dynamic maps — or what we call VOG (Voxel Occupancy Grid) — for robots.
Geospatial experts need to have a wide variety of skills. They have to link up with other systems and understand those other systems, like Tableau. It’s not enough to know your desktop or application. How will they interface with the other systems and integrate into the greater enterprise system?