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Study the Motion Limit of Visual Odometry
Specific work will include the theoretical analysis of the visual odometry pipeline and validation by simulation/experiments. It is also possible to perform the study for different camera configurations.
Visual odometry estimates the motion of the camera based on the images. It is an important algorithm in robotics and becomes widely used nowadays. However, when putting visual odometry into real world robotic applications, we need to understand the limitations of the algorithm. This project aims to address the question: how fast can a robot move while still keeping the visual odometry working properly? It can be expected that different visual odometry algorithms have different tolerance for fast motion. Therefore, such knowledge will enable designing a robust algorithm that switches between different visual odometry methods depending on the camera motion.
Visual odometry estimates the motion of the camera based on the images. It is an important algorithm in robotics and becomes widely used nowadays. However, when putting visual odometry into real world robotic applications, we need to understand the limitations of the algorithm. This project aims to address the question: how fast can a robot move while still keeping the visual odometry working properly? It can be expected that different visual odometry algorithms have different tolerance for fast motion. Therefore, such knowledge will enable designing a robust algorithm that switches between different visual odometry methods depending on the camera motion.
Specific work will include the theoretical analysis of the visual odometry pipeline and validation by simulation/experiments. It is also possible to perform the study for different camera configurations.
Specific work will include the theoretical analysis of the visual odometry pipeline and validation by simulation/experiments. It is also possible to perform the study for different camera configurations.