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Co-processor design of Visual-SLAM and IMU sensor fusion for AR-VR applications
Co-processor design of Visual-SLAM and IMU sensor fusion for AR-VR applications
Duration: 2020 to 2023
Duration: 2020 to 2023
Type: Joint project between institutes and industry
Type: Joint project between institutes and industry
Description: Developing a SoC that performs real-time location tracking using data input from AR devices and Inertia Measurement Unit
Content: Utilizing the Extended Kalman filter (EKF) for motion estimation and Parallel Tracking and Mapping (PTAM) to create detailed maps of indoor spaces.
Parallel Mapping and Tracking (PTAM)
User head motion tracking
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