Projects

Innovation and Technology Commission

Demonstration of our Autonomous Driving Vehicles and their onboard sensor platforms.

Develop a comprehensive UAV perception and Perching solution, focusing on the integration of smart streetlight poles with a UAV takeoff, landing, and battery exchange platform

This project aims to develop a deep learning-based inertial navigation algorithm that utilizes accelerometer, gyroscope, and magnetometer data from smart wearables and smartphones to infer the user’s position and movement trajectory, while providing corresponding confidence levels

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PolyU (UGC)

PolyU (UGC)

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PolyU (UGC)

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PolyU (UGC)

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RIAM, PolyU

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PolyU (UGC)

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Developed LiDAR aided GNSS-RTK method based on the GNSS/IMU/LiDAR to provide highly accurate positioning results in the urban canyons.