research in computationally efficient intelligent systems. The lab combines computer vision, machine learning, and pattern recognition to develop “real” solutions. Intelligent systems are those that are able to observe the world, learn from these observations, and understand the environment. The real-time systems are designed to operate continuously and robustly through all operating modes.
Research areas of interest include traffic monitoring and pedestrian safety, activity analysis and assessment, visual object recognition, self-driving cars.