Register now After registration you will be able to apply for this opportunity online.
This opportunity is not published. No applications will be accepted.
Augmented Reality free choice project
In our group we investigate novel functionalities towards improving the state-of-the-art of algorithmic solutions on AR devices. Areas of interest include, but are not limited to: object detection, scene segmentation, robust tracking, accurate pose estimation, dynamic scenes, SLAM, multimodal perception / sensor fusion.
Augmented Reality is an exciting new technology that works robustly on modern end-user devices.
In our group, we investigate novel functionalities towards improving the state-of-the-art of algorithmic solutions on AR devices. Areas of interest include but are not limited to: object detection, scene segmentation, robust tracking, accurate pose estimation, dynamic scenes, SLAM, multimodal perception/sensor fusion. Interested students are encouraged to get in contact with us directly and discuss project details.
Augmented Reality is an exciting new technology that works robustly on modern end-user devices.
In our group, we investigate novel functionalities towards improving the state-of-the-art of algorithmic solutions on AR devices. Areas of interest include but are not limited to: object detection, scene segmentation, robust tracking, accurate pose estimation, dynamic scenes, SLAM, multimodal perception/sensor fusion. Interested students are encouraged to get in contact with us directly and discuss project details.
- Familiarize yourself with the current state of the art.
- Investigate existing solutions for the specific AR challenge.
- Develop novel algorithms to address the AR challenge in real-world applications.
- Test your algorithms on evaluation data and real AR systems.
- Familiarize yourself with the current state of the art. - Investigate existing solutions for the specific AR challenge. - Develop novel algorithms to address the AR challenge in real-world applications. - Test your algorithms on evaluation data and real AR systems.
- Good understanding of algorithmic challenges.
- Knowledge of C++ is mandatory, Python is recommended.
- Knowledge of ROS is recommended.
- Knowledge in two of the following areas: SLAM, Localization, sensor fusion, computer vision, deep learning.
- Be curious about pushing the limits of today's Augmented Reality capabilities.
- Strong self-motivation and critical mind.
- Students from outside of D-MAVT (particularly, from D-INFK, D-ITET, D-PHYS, and D-MATH) are also highly encouraged to apply.
- Good understanding of algorithmic challenges. - Knowledge of C++ is mandatory, Python is recommended. - Knowledge of ROS is recommended. - Knowledge in two of the following areas: SLAM, Localization, sensor fusion, computer vision, deep learning. - Be curious about pushing the limits of today's Augmented Reality capabilities. - Strong self-motivation and critical mind. - Students from outside of D-MAVT (particularly, from D-INFK, D-ITET, D-PHYS, and D-MATH) are also highly encouraged to apply.
Please send your CV and transcripts to Julian Schwarz (juschwar@ethz.ch), Fadri Furrer (fadri@ethz.ch), and Timothy Sandy (tsandy@ethz.ch).
Please send your CV and transcripts to Julian Schwarz (juschwar@ethz.ch), Fadri Furrer (fadri@ethz.ch), and Timothy Sandy (tsandy@ethz.ch).