3DAI™ City


The world is becoming urbanized. People are moving from rural to urban centers at a rate of 1.3 million per week. 65% of the world’s population will live in cities by 2050. Capturing timely, relevant and actionable data about the urban environment is crucial for cities to keep functioning. To meet this need, Univrses is developing a game-changing platform called 3DAI™ City.
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3DAI™ Engine


Univrses is developing a suite of products to solve complex real-world problems in Computer Vision. They have been developed by our team of expert scientists and engineers. We call this the 3DAI™ Engine.
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Newsroom


Follow the latest news from Univrses and the latest research in computer vision and machine learning

Meet SharedStreets, a California-based open source software company and new friend of Univrses. This nonprofit organization has developed a nonproprietary, global linear referencing system that connects information about streets across jurisdictions, companies and governments - making transport data easier to use and understand. In August, a new collaboration including SharedStreets, Drive Sweden and Univrses was set in motion. The aim of the initiative is to make data gathering more efficient, and we do this by combining Univrses’ computer vision and machine learning technologies with the seamless open source infrastructure and methods provided by our colleagues at SharedStreets.

Thanks for shaping a smarter future with us!

#univrses #sharedstreets #drivesweden #smartcity
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We are happy to introduce Johanna Thorn, new Product Manager at Univrses! Johanna has extensive experience working with GIS data within Smart City initiatives. Before joining our team, she was a Project Manager for the Traffic Administration at @stockholms.stad . As it happens, Johanna’s work paved the way for Univrses to begin working with Stockholm Stad as part of the Sthlm Virtual City project, together with @taxistockholm earlier this year.

In her new role, Johanna will be responsible for the development of Univrses' Smart City product 3DAI™ City.

Welcome to the team, Johanna!

#3daicity #univrses #drivesweden
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@taxistockholm is the oldest, largest and most distinguished taxi company in the Swedish capital. As of spring 2020, we have the privilege to call them our project partners. The Company is one of three organizations that form “Sthlm Virtual City”, a unique Smart City initiative that is now taking place in Stockholm.

The Taxi Stockholm fleet carries mobile camera units equipped with Univrses’ computer vision algorithms. As the taxis operate in the city, a constant flow of timely, relevant and anonymized data can be accessed. Data that is being sent to our third project partner The City of Stockholm ( @stockholms.stad ) to facilitate city management, and that has the potential to both reduce emissions and make the city smarter and safer.

Thanks to Taxi Stockholm for enabling Sthlm Virtual City together with us!



#sthlmvirtualcity #taxistockholm #univrses #drivesweden
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Univrses has been in collaboration with @abbsverige through @synerleap for more than 2 years. We are proud to have been invited to take part in their upcoming event on the importance of collaboration in developing Swedish industry. Our CEO Jonathan Selbie will participate by talking about the collaboration between ABB and Univrses, and how such corporate/start-up initiatives can enable the next level of robotic technology.
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Next Leap of Collaboration takes place online on September 16th. Sign up now! >> https://forms.abb.com/form-36488/Next-Leap-Of-Collaborationen
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Cleantech Scandinavia has named Univrses one of the 10 most innovative Nordic start-ups! On September 29th, we will have the honour to compete in the online Nordic Cleantech Open finals 2020. Thanks to Cleantech Scandinavia, Swedish Energy Agency (@energimyndigheten) and to the jury for the nomination!

Sign up now to watch the finals for free! >> https://showcase.cleantechscandinavia.com/nordic-cleantech-open-finals/
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A global mobility revolution is taking place, and we are happy to be in the middle of it. On September 9th, Univrses’ CEO Jonathan Selbie will speak at the online Drive Sweden Forum 2020 about the exciting time that lies ahead, both for The Company and for international Mobility development in general. Challenges as well as the importance of collaboration will be in focus and he will introduce a recent example of such a collaboration with Drive Sweden’s new partner – California-based non-profit organization SharedStreets.

Jonathan will be one of many speakers from different organizations all around the world taking part in the event. Secure your tickets now! >> https://sv-se.invajo.com/event/drivesweden/driveswedenforumtransformationofthemobilitysystem–aglobalchallenge///invite?utm_campaign=unresponded_guests_reminder&utm_source=email&utm_medium=email

#univrses #drivesweden
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We love roads and now, as of fall 2020, Univrses is a proud part of the Road Data Lab (RoDL). The project aims at facilitating open innovation around roads by making relevant data more accessible. Univrses will leverage the experience gained in developing 3DAI City to help develop the lab - and we are extremely proud to participate in this exciting project.
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Thanks to @risesweden for leading this great initiative. Thanks also to our project partners @zenuityhq, AI Innovation of Sweden, @lunduniversity and @chalmers.university Industriteknik, and last but not least, thanks to sponsor Vinnova for constantly enabling Swedish tech to develop!
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Read more! >> https://www.ri.se/en/what-we-do/projects/road-data-lab
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#univrses #3daicity #roaddata #roaddatalab
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A while ago, we announced that Univrses work on Real-Time Semantic Stereo Matching had been accepted at ICRA (International Conference on Robotics and Automation). The 2020 conference is now coming to an end, and we are proud to have taken part in such an excellent event. 
 
You can now watch Univrses’ Deep Learning engineer Pier Luigi Dovesi's presentation on YouTube! Pier talks about how this technology addresses the problem of spatial and contextual understanding for autonomous navigation. It enables high-accuracy, real-time interpretation of an urban environment using just a mobile device. This, and other technologies we are developing at Univrses, make it possible to detect and localize vehicles, traffic signs, pedestrians and other features needed to manage a city. #3dai #univrses

Watch the presentation here! >>
https://www.youtube.com/watch?v=AagQkMmklLk
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