dev-ops

Bosch Group

<div><section><div><p></p><h2>Company Description</h2></div><div><p><strong>At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. </strong><strong>Join in and feel the difference.</strong></p><p>The Robert Bosch GmbH<em> </em>is looking forward to your application!</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><p>Neural networks are an important class of algorithms with many applications in Advanced Driver Assistance Systems (ADAS). A reliable and accurate estimate of the course of the road ahead of the vehicle is an important input for situation analysis and motion planning. With the help of radar sensors, the road course can be estimated over longer ranges than with cameras alone.</p><p>This topic allows to work across the full breadth of a machine learning use case in the context of the thesis. Topics can be emphasized according to the interest of the student but could include the following:</p><ul><li>You will prepare an overview of the existing approaches from the literature.</li><li>Furthermore, the work on the creation and curation of a data set to be used for training and evaluation will be crucial to this thesis.</li><li>The design and implementation of a neural network for road course estimation will be also part of your research.</li><li>Finally, you will evaluate and characterize the results and integrate them into an existing ADAS system by resimulating and evaluating the system performance.</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education:</strong> Master studies in the field of Electrical Engineering, Computer Science, Mathematics, or comparable</li><li><strong>Experience and Knowledge:</strong> good knowledge of Python required, ideally experience with TensorFlow or PyTorch</li><li><strong>Personality and Working Practice:</strong> engaged team player with good communication skills, working carefully and structured</li><li><strong>Languages:</strong> good knowledge of German or English</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><p><strong>Start:</strong> according to prior agreement<br> <strong>Duration:</strong> 6 months</p><p>Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.</p><p>Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.</p><p><strong>Need further information about the job?</strong><br> Johannes Reinhardt (Business Department)<br> +49 152 51840965</p><p><br> #LI-DNI</p></div></section></div>

Thesis Road Course Estimation from Radar Pointclouds with Neural Networks

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