Student Projects

To apply, please send your CV, your Ms and Bs transcripts by email to all the contacts indicated below the project description. Do not apply on SiROP Since Prof. Davide Scaramuzza is affiliated with ETH, there is no organizational overhead for ETH students. Custom projects are occasionally available. If you would like to do a project with us but could not find an advertized project that suits you, please contact Prof. Davide Scaramuzza directly to ask for a tailored project (sdavide at ifi.uzh.ch).

Upon successful completion of a project in our lab, students may also have the opportunity to get an internship at one of our numerous industrial and academic partners worldwide (e.g., NASA/JPL, University of Pennsylvania, UCLA, MIT, Stanford, ...).

  • Camera calibration is a paramount pre-processing stage of many robotic vision applications such as 3D reconstruction, obstacle avoidance and ego-motion estimation. The goal of this project is to develop a user-friendly, single and multi-camera calibration toolbox adapted to our robotic system.

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  • Hand-Eye calibration is a paramount pre-processing stage of many robotic and augmented reality applications. The goal of this project is to develop a user-friendly hand-eye calibration toolbox integrated with our robotic system.

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  • The goal of this project is to develop visual-inertial pipeline for the Dynamic and Active Vision Sensor (DAVIS). The system will estimate the pose of the DAVIS using the event stream and IMU measurements delivered by the sensor.

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  • The goal of this project is to turn an event camera into a high-speed camera, by designing an algorithm to recover images from the compressed event stream.

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  • Event cameras such as the Dynamic and Active Pixel Vision Sensor (DAVIS) are recent sensors with large potential for high-speed and high dynamic range robotic applications.

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  • The goal of this project is to improve an existing visual odometry pipeline using an event camera by designing and integrating a visual bundle adjustment module in order to reduce the drift in the odometry pipeline.

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  • The goal of this project is to use event cameras to compute the optical flow in the image plane induced by either a moving camera in a scene or by moving objects with respect to a static event camera.

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