Robotics and Perception

Open Opportunities

Study on the effects of camera resolution in Visual Odometry University of Zurich Robotics and Perception Study on the effects of camera resolution in Visual Odometry Engineering and Technology Master Thesis

Deep line detection for autonomous navigation University of Zurich Robotics and Perception Learning-based robust line detection algorithm for autonomous navigation. Engineering and Technology Semester Project

Data-driven Keypoint Extractor for Event Data University of Zurich Robotics and Perception The project aims to develop a data-driven keypoint extractor, which computes interest points and descriptors. Based on the current advances of learned keypoint extractors for traditional frames, the approach will leverage neural network architectures to extract and describe keypoints in an event stream. Computer Vision Master Thesis, Semester Project

Domain Transfer between Events and Frames University of Zurich Robotics and Perception In this project, the student extends current advances from the UDA literature for traditional frames to event data in order to transfer multiple tasks from frames to events. The approach should be validated on several tasks in challenging environments (night, high-dynamic scenes) to highlight the benefits of event cameras. Computer Vision Master Thesis, Semester Project

Neural Network Representation for Vision-Based MPC Control University of Zurich Robotics and Perception Train a neural network to predict an intermediate representation from an image that can be used by an MPC to avoid obstacles. Engineering and Technology Master Thesis

Learned Low-Level Controller University of Zurich Robotics and Perception Neural networks are renowned for their expressiveness. In this project, we study their application as a low-level controller on a drone. Engineering and Technology Master Thesis

3D reconstruction with event cameras University of Zurich Robotics and Perception This project will explore the application of event camera setups for scene reconstruction. Accurate and efficient reconstructions using event-camera setups is still an unexplored topic. This project will focus on solving the problem of 3D reconstruction using active perception with event cameras​. Information, Computing and Communication Sciences Master Thesis, Semester Project

Event-based depth estimation​ University of Zurich Robotics and Perception This project will focus on event-based depth estimation using structured light systems. Information, Computing and Communication Sciences Master Thesis, Semester Project

Sensor Fusion for Drone Racing University of Zurich Robotics and Perception Sensor Fusion for Drone Racing Computer Vision, Systems Theory and Control Master Thesis, Semester Project

Learned Perception for Drone Racing University of Zurich Robotics and Perception Learned Perception for Drone Racing Computer Vision, Intelligent Robotics Master Thesis, Semester Project