Simultaneous Localization and Mapping (SLAM) forms the foundation of vehicle localization in autonomous driving. Indeed, the navigation of autonomous vehicles could be greatly assisted when high-precision scene maps are used as prior information in vehicle localization. In the context of this internship, you will design a deep learning based method allowing the scene reconstruction of different objects present in the scene using a single 2D image captured with the camera mounted on the front of the car. This research work includes reviewing the relevant works and assessing their limitations and opportunities. Furthermore, a novel deeplearning-based method should be developed and evaluated using benchmark datasets.
Please apply here: DLR-DAAD Research Fellowship Programme - DAAD - Deutscher Akademischer Austauschdienst
Further information and current vacancies: DLR Current offers - DAAD
Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.
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