Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

Year 2025: Big data as enabler of fully automated vehicles

Thomas Beer (Continental), Felix Werkmeister (Continental)
12:05–12:45 Friday, 3/06/2016
Hadoop use cases
Location: Capital Suite 10/11 Level: Intermediate
Average rating: ***..
(3.00, 2 ratings)

Prerequisite knowledge

Attendees should be familiar with the basics of the Hadoop ecosystem (e.g., components and their intended usage). Deeper programming skills are not required.


A key factor on the road to automated driving is the processing of data provided by the vehicle’s on-board surrounding sensors, which allows stress-free driving through intelligent advanced driver assistance systems (ADAS). These systems contribute by sensing the environment around the vehicle and increasing driving safety. But just like human drivers, ADASs can only gather information for a certain field of view. To further increase driving safety, comfort, and efficiency (e.g., by cutting fuel consumption) through “predictive driving,” the vehicle needs additional information.

The key to gathering this information is communication—vehicles communicating with the backend as well as other vehicles to get a picture of what happens beyond the next curve. Thomas Beer and Felix Werkmeister introduce the backend architecture, which is heavily based on the Hadoop ecosystem. Within the backend, all involved data sources (e.g., vehicle sensor data, weather data, or traffic data) are processed using both real-time and non-real-time mechanisms. Thomas and Felix propose a full solution stack from data ingest up to the analytics layer based on practical examples from the dynamic eHorizon project. In addition, as location is one of the key data sources, they demonstrate in detail how Continental has implemented geospatial analytics on top of its data lake.

Photo of Thomas Beer

Thomas Beer


Thomas is the lead architect at Continental’s ASCM innovation & technology department for AI & Big Data Solutions.
He is currently focusing on building innovative AI & IoT based data-driven solutions for Continental’s supply chain – ranging from robotics up to intelligent, adaptive dashboards.
Before joining Continental he was the lead architect for Big Data solutions at NTT Data. He holds a PhD in Computer Science.
Thomas is a member of Europe’s leading summit for artificial intelligence and big data":

Photo of Felix Werkmeister

Felix Werkmeister


Felix Werkmeister is one of the lead developers within Continental’s eHorizon project, where he is mainly responsible for Spark, Hadoop, and Storm development. Before joining Continental, Felix worked as developer and member of the IoT Competence Team for Opitz-Consulting GmbH.