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Sensor Fusion for Drone Racing
Sensor Fusion for Drone Racing
In autonomous drone racing, a quadrotor drone must pass through a sequence of gates as fast as possible. The main challenge is to accurately estimate the drone’s state from onboard sensors, such as cameras and IMUs.
In autonomous drone racing, a quadrotor drone must pass through a sequence of gates as fast as possible. The main challenge is to accurately estimate the drone’s state from onboard sensors, such as cameras and IMUs.
The goal of this project is to implement a sensor fusion pipeline on real hardware and to evaluate the state estimation performance in drone racing in the real world. Requirements: Strong background in robotics, machine learning, and computer vision. ROS, C++, and Python skills. Experience with quadrotor hardware and drone flight is a plus.
The goal of this project is to implement a sensor fusion pipeline on real hardware and to evaluate the state estimation performance in drone racing in the real world. Requirements: Strong background in robotics, machine learning, and computer vision. ROS, C++, and Python skills. Experience with quadrotor hardware and drone flight is a plus.
Please send your CV and transcripts (bachelor and master) to Christian Pfeiffer (cpfeiffe AT ifi DOT uzh DOT ch) and Drew Hanover (hanover AT ifi DOT uzh DOT ch).
Please send your CV and transcripts (bachelor and master) to Christian Pfeiffer (cpfeiffe AT ifi DOT uzh DOT ch) and Drew Hanover (hanover AT ifi DOT uzh DOT ch).