In-Car AI Assistant
Jan Kautz, Senior Director of Visual Computing and Machine Learning Research
Wednesday, October 11, 1:00-2:00pm; Hariri Institute for Computing (111 Cummington Mall, Boston)
Abstract: Data show that ninety percent of car crashes involve some form of driver distraction. Until we reach complete automation in cars, the driver will continue to be in the loop. To make cars safer and to enhance the driving experience, at NVIDIA, we are designing smart interfaces inside cars using computer vision and deep learning technology. I will describe our research on monitoring the driver using NVIDIA’s tracking technologies, including head pose, gaze tracking, and dynamic hand gesture recognition.
Bio: Jan is a Senior Director of Research at NVIDIA, where he leads the Visual Computing Research team. He is working predominantly on computer vision problems (from low-level vision through geometric vision to high-level vision), as well as machine learning problems (including deep reinforcement learning, generative models, and efficient deep learning). Before joining NVIDIA in 2013, Jan was a tenured faculty member at University College London. He holds a BSc in Computer Science from the University of Erlangen-Nürnberg (1999), an MMath from the University of Waterloo (1999), received his Ph.D. from the Max-Planck-Institut für Informatik (2003) and worked as a post-doctoral researcher at the Massachusetts Institute of Technology (2003-2006).