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These one-hour sessions cover a broad range of topics in the data and emerging technology space with a focus on practical application and takeaways that can be quickly implemented.
There are currently no Data Hub Sessions scheduled.
Past sessions (playlist):
OpenHDMaps has launched an open innovation ecosystem with HD 3D map data. Join to learn how to use the first phase of this open platform!
What's the secret sauce to the future of cities? Detailed, comprehensive, high-definition 3D mapping data. It's the virtual fuel that will power autonomous vehicles (AVs) on public roads. For safe and efficient navigation, AVs require not only HD mapping data but also information on lane markings, road signs, buildings, pedestrian pathways, lamp/signposts, parking lots and more. Just like human drivers, AVs need to be completely aware of their surroundings.
OpenHDMaps is creating an open innovation ecosystem for the autonomous vehicle market by compiling the richest, most complete high-definition 3D map data and making it available to everyone. They're creating a collaborative and co-operative model, bringing together disparate data sets from participating organizations and pulling together the experts to build an ecosystem that supports innovation around AV applications, smart cities, logistics, utilities, infrastructure, media and more.
We're launching the first phase of the platform and it's ready for you to use!
This Communitech Data Hub Session will help you answer the following questions:
- What is the first phase of the OpenHDMaps platform?
- What features and capabilities will the platform have?
- What is the roadmap for the HD map of Waterloo Region?
About the speaker
This special edition Data Hub Session will be hosted in partnership with Ecopia Tech Corporation (Ecopia.ai), the OpenHDMaps partner developing the platform and HD map for the Waterloo Region. Here, Emily Jackson-Baur, VP Communications at Ecopia.AI, will deep dive into how the new platform works as well as share how Ecopia's intelligent systems leverage advancements in machine learning to convert high-resolution imagery (satellite, aerial, drone, etc.) of the earth into HD (high definition) vector maps.