Our Lab investigates the technology for autonomous vehicle control systems such as tractors for agricultural uses, unmanned surface vehicles, and in-door robots for logistics factories. We study the localization techniques, path planning and control algorithms, and perception algorithms using stereo and monocular cameras. For perception, we develop and utilize recent deep learning algorithms for stereo and monocular camera images to detect objects and understand navigation environment. For localization, we integrate various sensor information such as GPS, IMU and optical flow sensors using extended Kalman filter. For control, we use various control algorithms for navigation such as Linear Quadratic optimal control, model based Nonlinear control, feed forward PID controls, etc.