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Daisy Chaining Tracking Follow-up
Recent development allows for navigating a virtual environment by real walking, thanks to the SLAM technology, which localizes a user’s position and builds a map on the fly. For doing so, this technology relies on visible static features in the tracking space, while other users are filtered out and not considered for positional tracking. Hence, the system presumes that each user can track his position individually. However, far very large tracking spaces these visible features might be too far away. To overcome this problem, a daisy-chaining of tracking information of users was developed, were only one observed user needs an absolute reference.
In the previous project, we developed a framework to track multiple users, each wearing a VR headset. We utilized the YOLO algorithm to identify an observed user in images captured from the perspective of another user's VR headset. Once identified, we calculated the relative position of this observed user. This step was crucial for maintaining the accuracy of both users' virtual positions and for reestablishing tracking if it was lost for any of the users. This framework ensured continuous, accurate tracking within a multi-user VR environment. This work will build on that foundation. Initially, you will need to familiarize yourself with the already implemented framework. Subsequently, your task will be to enhance the tracking accuracy and speed by refining individual components and testing new algorithms. You will also need to develop a new method to determine the orientation of an observed user. Following this, you will conduct tests to evaluate the accuracy of the system.
In the previous project, we developed a framework to track multiple users, each wearing a VR headset. We utilized the YOLO algorithm to identify an observed user in images captured from the perspective of another user's VR headset. Once identified, we calculated the relative position of this observed user. This step was crucial for maintaining the accuracy of both users' virtual positions and for reestablishing tracking if it was lost for any of the users. This framework ensured continuous, accurate tracking within a multi-user VR environment. This work will build on that foundation. Initially, you will need to familiarize yourself with the already implemented framework. Subsequently, your task will be to enhance the tracking accuracy and speed by refining individual components and testing new algorithms. You will also need to develop a new method to determine the orientation of an observed user. Following this, you will conduct tests to evaluate the accuracy of the system.
Daisy Chaining tracking followup.pdf
