I have been working on sensor fusion for autonomous driving purposes. By integrating several sensors, we overcome the shortages of individual sensors and improve the reliability of the system. I have applied Bayesian statistical framework to integrate various sensors to achieve different tasks. I have integrated the laser scanner and GNSS/IMU to track the moving objects adjacent to the autonomous vehicle.
By the advancement of machine learning, deep learning approaches are applied to more effectively integrate sensors and achieve higher accuracy. My students and I apply deep learning to integrate thermal and visual images for human detection. In addition, I have been developing an approach to simultaneously integrate and model the sensors connecting Bayesian and deep learning based sensor fusion.
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