Cygnify is proud to be one of the first companies making use of Argo AI's great new dataset, recently open-sourced by them. TechCrunch published an article about this dataset:
TechCrunch, June 19, 2019
Argo AI is releasing curated data along with high-definition maps to researchers for free, the latest company in the autonomous vehicle industry to open-source some of the information it has captured while developing and testing self-driving cars.
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.
Read the whole article here.