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Build an Indoor Visual Positioning System
This project aims to build a reliable indoor visual positioning system for AR/VR applications.
Visual-inertial odometry/SLAM has come to the level of maturity to be used in real-world applications. In this project, we are interested in using this technology to determine the motion of a robot reliably in an indoor environment, which requires an integration of different algorithms. Ideally, this project will lead to an indoor visual positioning system with potential applications such as augmented reality.
This project is a joint work with Huawei.
Visual-inertial odometry/SLAM has come to the level of maturity to be used in real-world applications. In this project, we are interested in using this technology to determine the motion of a robot reliably in an indoor environment, which requires an integration of different algorithms. Ideally, this project will lead to an indoor visual positioning system with potential applications such as augmented reality. This project is a joint work with Huawei.
The goal of this project is to integrate a state-of-the-art visual-inertial odometry algorithm and a place recognition module into an accurate and robust visual positioning system for a room-like environment. It is desired that the system scales to different computational platforms (i.e., works for both laptops and embedded systems) to suit different applications.
The goal of this project is to integrate a state-of-the-art visual-inertial odometry algorithm and a place recognition module into an accurate and robust visual positioning system for a room-like environment. It is desired that the system scales to different computational platforms (i.e., works for both laptops and embedded systems) to suit different applications.
Zichao Zhang (zzhang at ifi.uzh.ch) Required skills: Linux, C++, hands-on experience in visual odometry/SLAM, experience in ROS is a plus.
Zichao Zhang (zzhang at ifi.uzh.ch) Required skills: Linux, C++, hands-on experience in visual odometry/SLAM, experience in ROS is a plus.