Jos Elfring
About Jos Elfring
Jos Elfring is the Tech Lead for the Product Unit Autonomous Driving at TomTom and a part-time Assistant Professor at Eindhoven University of Technology, specializing in multi sensor fusion, world modeling, and motion prediction for autonomous driving systems.
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Jos Elfring is the Tech Lead of the Product Unit for Autonomous Driving at TomTom. He also serves as a part-time Assistant Professor at the Eindhoven University of Technology.
Company: TomTom
Since 2019, Jos Elfring has been working at TomTom as the Tech Lead for their Product Unit focusing on Autonomous Driving. His role includes overseeing the technological advancements and integration of autonomous driving systems.
Company: Eindhoven University of Technology
Jos Elfring has been serving as a part-time Assistant Professor at the Eindhoven University of Technology since 2017. He is involved in academic teaching and research within the field of Mechanical Engineering.
Education at Dutch Institute of Systems and Control
Jos Elfring pursued advanced studies at the Dutch Institute of Systems and Control from 2010 to 2011. This education provided him with in-depth knowledge and skills essential for his specialized fields of multi-sensor fusion, world modeling, and motion prediction.
Education at Eindhoven University of Technology
Jos Elfring studied Mechanical Engineering at the Eindhoven University of Technology. He achieved a Master of Science (MSc) degree in Control Systems Technology from 2006 to 2009 and a Bachelor of Science (BSc) degree from 2003 to 2006. His academic focus laid the foundation for his work in autonomous driving technologies.
Specialization in Multi Sensor Fusion
Jos Elfring specializes in multi sensor fusion, a critical technology for enhancing the accuracy and reliability of autonomous driving systems. His expertise ensures the integration of various sensor inputs to create comprehensive environmental models necessary for autonomous vehicles.
Expertise in World Modeling
Jos Elfring focuses on methods for world modeling, a key area in autonomous driving technologies. World modeling involves creating accurate and dynamic models of the environment, which are fundamental for the navigation and decision-making processes of autonomous vehicles.
Expert in Motion Prediction
Jos Elfring has deep expertise in motion prediction, essential for the development of safe and efficient automated driving systems. Motion prediction involves forecasting the movements of entities in the vehicle's surroundings, ensuring timely and accurate responses by the autonomous system.