Working Student / Master Thesis ADAS Evasive Steering for Collision Avoidance
Systems Engineering
Student & Talent Programs
Ingolstadt
We are CARIAD, an automotive software company and part of the Volkswagen Group. Our mission is to make the automotive experience safer, more sustainable, more comfortable, more digital, and more fun. Soon, we'll be a team of more than 5,000 software developers and engineers, building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year.
We’re looking for talented, digital minds like you to help us create code that moves the world. Together with you, we’ll build outstanding digital experiences and products for all Volkswagen Group brands that will transform mobility. Join us as we shape the future of the car and everyone around it.
YOUR TEAM
For the department Predictive Safety we are looking for a working student or thesis writer for the project Warn/Brake/Evade. You are going to dive into the following topics: Evasive Steering Support and Autonomous Emergency Steering.The department works on ADAS functions for predictive road safety. Using e.g. visual and radar sensors for environment recognition, our functions warn the driver in traffic situations with collision danger and support the driver performing braking and steering maneuvers. In a small team working on emergency steering functions, we are dealing with simulation, vehicle testing as well as conceptual work for the design of tomorrow's emergency steering functions.
WHAT YOU WILL DO
- Join the highly motivated team working on future emergency steering functions
- Design, run and evaluate scenario-based simulations for evasive maneuvers
- Conceptual and practical work for testing of steering functions using driving robots
- Assess future potentials of emergency steering functions applied to Steer-by-Wire systems
- Help us to improve our systems and our daily development tasks
- Together with you, we are going to choose the topics for your work according to your skills and interests in respect to our project goals
WHO YOU ARE
- Very good academic performance
- Enrolled student in the area of engineering, natural sciences, computer science or equivalent
- Proficient in English, fluent in German
- Specific know-how in the field of ADAS
- Scientific working style with high level of creativity
zur Vakanz
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