How can the need for diverse and extensive field data collection be effectively balanced with concerns about privacy and data security?
How can AD systems gather sufficient data to ensure robust performance for diverse driving conditions, such as extreme weather or unique traffic patterns?
What strategies can be employed to address biases in field data collection, so that AD models are trained on representative and inclusive datasets?
With the rapid evolution of sensor technology, what are the implications for the types and formats of data collected for training AD algorithms?
How to establish best practices for verifying the credibility and validity of field data, fostering trust among regulators, consumers, and other stakeholders?
Data Management, Fusion, Labelling, Annotation, Storage
Testing, Validation, Simulation
Workshop
Speaker
Henrik Lönn
Research Engineer, Volvo AB
Henrik Lönn is a Research Engineer at Volvo Technology with over 5 years of experience in the automotive industry.
The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. The Volvo Group, with its headquarters in Gothenburg, employs about 100,000 people, has production facilities in 18 countries and sells its products in more than 190 markets.