Team leTHIt-Drive 2018-06-20T16:24:11+00:00

Team leTHIt-Drive

University of Applied Science Ingolstadt

Team

Huu Anh Huy Nguyen, (Team Lead)

Vinita Veerendra Gathani, Sathya Vasudevan, TristanReuthlinger, Vishal Rajendra Kumar

“Talents win games but teamwork and intelligence win championships”

We are a team of 5 students, heading from diverse parts of the globe with rich cultural and educational background, and joining hands together for one common goal: shaping the future of automobile technologies, particularly in autonomous driving, with our seemingly simple yet careful-thought approaches anchoring on artificial intelligence and machine learning. The opportunity to take part in Audi Autonomous Driving Cup 2018, which is one of its kind across the entire continent, is a dream come true for enthusiastic engineers like us. The challenging task of developing a complete software architecture for an autonomous model vehicle demands a lot of hard work, creativity and team collaboration, fascinates our team to the highest level. We consider this competition as a promising platform to demonstrate our skills and are all excited about the invaluable experience and exposure which we will acquire throughout the journey. Last but not least, we are eager to meet all other talent students participating in the contest and pleased to share our knowledge together.

Academic Chair

Supervisors are Prof. Dr.-Ing. Michael Botsch and Prof. Dr. Andreas Hagerer.

The CARISSMA Center of Automotive Research on Integrated Safety Systems at the Technical University of Ingolstadt is one of the leading scientific centers for vehicle safety in Germany. With the help of state-of-the-art test facilities, both indoor and outdoor, researchers and test engineers of the CARISSMA center are actively doing research on various vehicle safety disciplines and in close cooperation with the automotive industry. Research and testing on traffic collision avoidance and accident mitigation is always the primary mission of the institute. Since collision avoidance implies knowledge about exteroceptive sensors, motion planning and the control of actuators, most of the key methods that are required for autonomous driving are applied in research projects in CARISSMA. An important research field in CARISSMA is the use of machine learning in safety critical applications. Research in this area does not only require insight into the mechanisms of statistical learning but also the development of model-based approaches for vehicle motion and traffic scenarios. The institute will support the AADC team not only with know-how but also by providing an area in CARISSMA to set up a test environment for the AADC vehicles.