Master Thesis AI-Based Keypoint Refinement for Autonomous Driving

Job description

Company Description 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. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description: - During your thesis, you will research and develop advanced deep learning methods to improve keypoint matching accuracy for autonomous driving applications. - You will design a unified neural network architecture that jointly addresses correspondence refinement, outlier rejection, and uncertainty estimation, aiming to replace complex conventional post-processing chains. - Furthermore, you will investigate novel approaches to achieve sub-pixel precision and handle ambiguous image textures within the feature matching pipeline. - You will implement and train these models, focusing on efficiency and the potential for distilling the architecture into a fast, real-time capable solution. - Finally, you will benchmark your approach against current state-of-the-art matchers (e.g., in Visual Odometry scenarios) to demonstrate...