Speaker
Description
More and more pilot projects are started which make use of autonomous cars. Not all challenges are overcome yet but a clear path to a use in versatile fields of application is foreseeable. Autonomous micro vehicles are suitable for various applications in last mile logistics. Operating across sidewalks and cycling paths and not only on roads requires more information regarding the infrastructure (e. g. position of pollards or height of curbs) as well as new control logics. In contrast to the usage of autonomous cars the usage of autonomous micro vehicles is much more complex and therefore still quite challenging. Applications of autonomous micro vehicles require high-quality multilayer maps and an automated processes needs to be set up to create these. An openly available data base can be provided by OSM. For now, these kinds of maps are not available.
We will introduce the concept of an “Autonomous Driveability Index (ADI)” that quantifies the usability of an edge for a certain autonomous micro vehicle in a traffic network but a toolchain for the calculation. The ADI indicates whether it is possible for a micro vehicle to use an edge or not and if the data is of sufficiently high quality. With this information it is possible to determine if a certain urban area can be used for applications of autonomous micro vehicles. However, it's necessary to gather more detailed data since the current data quality in OSM is mostly insufficient. We built on a layer architecture combining OSM and Lanelet.
| I am willing and able to travel to Norway unless Covid-19 restrictions prevent me from traveling to Stavanger. | YES |
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| GDPR complianced | Yes |
