Argo AI, the autonomous technology company, has started to release some of their data and highly detailed maps to researchers at no costs. This is an effort to share information in an open source fashion in order to better create autonomous technologies.
The aim, the Ford Motor-backed company says, is to give academic researchers the ability to study the impact that HD maps have on perception and forecasting, such as identifying and tracking objects on the road, and predicting where those objects will move seconds into the future. In short, Argo sees this as a way to encourage more research and hopefully breakthroughs in autonomous vehicle technology.
Argo has branded this collection of data and maps Argoverse, which is being released for free. Argo isn’t releasing everything it has. This is a curated data set, after all. Still, it’s a large enough batch to give researchers something to dig into and model.
This “Argoverse” contains a selection of data, including two HD maps with lane centerlines, traffic direction and ground height collected on roads in Pittsburgh and in Miami.
For instance, Argoverse also has a motion forecasting data set with 3D tracking annotation for 113 scenes and more than 300,000 vehicle trajectories, including unprotected left turns and lane changes, and provides a benchmark to promote testing, teaching and learning, according to the website. There is also one API to connect the map data with sensor information.
Argo isn’t the first autonomous vehicle company to open-source its data or other tools. But the company says this batch of data is unique because it includes HD maps, which are considered one of the critical components for self-driving vehicles.
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