The dataset created is mainly supposed to be used in VAMLAV for validating and testing map generation technologies and localization/positioning systems.
This new dataset will include changes in the testing environment, a corresponding HD map and effects of repeated driving around the same test track. By making the dataset open, multiple other research areas are enabled and this creates the possibility for crowdsourcing with VAMLAV’s dataset.
The project aims to give the possibility for other partners to contribute to the dataset at the Rural Road test track at AstaZero. VAMLAV will develop a HD map of the Rural Road at AstaZero, by using the existing measurement infrastructure specifically installed at the test track for measuring positions and by designing and installing anchor points. VAMLAV will also collect data from the specific sensors for the dataset.
AstaZero is responsible for project management and AI Innovation of Sweden for distributing the dataset and helping to spread knowledge about the dataset to its partners within academy, public sector and industry. RISE will contribute with expertise on within reference systems, GNSS as well as knowledge in estimation and calculation of measurement uncertainties. Zeunity will contribute in validating maps, data collection, localization and provide input on anchor points and Mapillary will create maps based on the collected dataset.
Adam Eriksson, AstaZero AB