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1 & 2 APR `20 STATION BERLIN
10 Apr 2019 | 16:50 - 17:10 | Big-Data.AI Summit

Predicting Car2X Connectivity: A Data Driven Deep Learning Approach

Grace Hopper Stage
Stage BAS

Vehicle sensors are able to see the environment but in some city scenarios the car has to look around corners or behind obstacles to plan trajectory collision free. This could be solved with Car2X connectivity. To predict if there is enough signal to communicate, we developed a prediction model from real world Car2X data. In this talk you will get insights about the flow from data collection in the cars to production ready deep learning prediction model as API. This project is funded by the BMVI mFUND OpenData program.

Programmes & Topics
10 Apr 2019 | 12:30 - 12:50
Big-Data.AI Summit
10 Apr 2019 | 17:10 - 17:30
Big-Data.AI Summit
11 Apr 2019 | 13:30 - 14:00
Big-Data.AI Summit