Master Thesis (f/m/x) - Infrastrucure sensor positions for automated driving

Support from infrastructure sensors is an important measure to ensure the safety of autonomous vehicles in urban areas. Finding suitable positions for infrastructure sensors is a complex problem with numerous influencing factors. In order to do justice to these, DLR has developed a methodology that automates this search and also considers existing infrastructure such as street lighting and traffic lights. Your task is to further develop this algorithm and apply it to various neighborhoods in German cities. Your tasks optimization and improvement of software for the placement of infrastructure sensors application to various neighborhoods in Germany investigation of the influence of various requirements on the sensor technology assessment of the potential of using existing infrastructure Your profile ongoing scientific university studies in the field of software engineering, computer science, electrical engineering or similar coding experience with Python initial experience working with GIS data independent and structured way of working

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.