Master’s Student (Final Thesis): Design and Testing of a 3D SLAM Method for Automated/Autonomous Driving (f/m/d)
With the support of an environment that masters the latest embedded software technologies and develops them to production readiness, you will complete your studies with research into the embedded software technologies that will shape the world of tomorrow.
After a structured onboarding and integration into a family-like working environment with many social events, you can expect several additional benefits.
Ref-Nr.
30082.21.061
Aufgaben
- The basis of the master's thesis is an existing model vehicle that is used for the pre-development of ADAS and AD functions that are developed in series at ESPRiT Engineering GmbH. The vehicle is equipped with a camera and lidar. Simple camera-based algorithms for object recognition have already been implemented.
- The first step is to identify and document the requirements for the algorithm to be implemented.
- Conduct a literature review to identify the state of the art, with a particular focus on developments in the field over the last 2-3 years.
- Two different methods are to be selected, taking into account the previously created requirements catalog and using evaluation criteria, and implemented in, for example, Matlab/Simulink, Python or C/C++ for subsequent testing.
- An RC model test vehicle (scale 1:10) and a simulation environment based on Unreal Engine 5, including an implemented digital twin of the vehicle, are available for testing the implemented algorithms.
- The two algorithms are to be investigated, compared and contrasted for evaluation in terms of performance.
- Selection and implementation of the more performant method in the RC test vehicle and demonstration by means of a previously defined driving test.
- Finally, possibilities for further optimization of the selected algorithm should be demonstrated.
Qualifikationen
- Enrollment in a technical, scientific or similar university program with consistently above-average grades
- Good knowledge of programming languages such as Java, Python, C/C++ or similar
- Experience with microcomputers or microcontrollers such as Raspberry Pi, Arduino or similar
- Strong analytical skills
- Initial experience in the automotive industry desirable
- Good written and spoken German
- On-site availability at the ESPRiT office for a period of at least 6 months
- The work is not subject to a non-disclosure and confidentiality agreement
- In order to ensure the best possible process and result, the master's thesis is prepared as part of an internship or working student activity at our company lasting several months.
Ort
Ingolstadt (DE), München (DE), Stuttgart (DE)