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All you need to know - about the impact as well as application of AI, machine learning & deep learning in the development of self-driving cars level 4+

Better understand - the development of state of the art algorithms for perception, imaging, computer vision and machine learning, including those most important for the automotive industry

Gain insights - into testing, verification and validation methods and tools for AI and machine learning based systems and how AI can speed up development time

Discuss - challenges in design software architectures and platforms for AI and ML based systems, potential standards and limitations

Debate - why validation is difficult for sensor fusion and what strategies are useful to overcome these challenges and explore how AI supported vehicles can recognize their surroundings and evaluate the implications for its ’behaviour’

Discover - new ADAS features for level 4+ such as detection and recognition of multiple objects, improved perception, reduced power consumption, improved object classification, recognition and prediction of actions

Learn - from key industry players, renowned research institutions and agile start-ups about the potential of new imaging, perception and AI technologies for vehicles and evaluate business and use cases

Explore - the potentials of AI and overview the latest advances in sensor and perception technology in urban and rural environments, continued hurdles with pedestrian detection, and rare, edge cases

Gain - insights about real-time precision vehicle localization & mapping, opportunities for autonomous vehicles with 5G & V2x

Define

future pathways, required research and the role of deep learning in the mix of computer vision approaches, team-up with industry leaders and analyze the latest technologies in sensor fusion, imaging and machine learning, gain insights into environmental models and sensor fusion concepts