Robot Vision

Catalog description

Engineering systems are becoming smarter and more autonomous (e.g., construction robots, autonomous trucks/cars, intelligent transportation systems, domestic/warehouse mobile robots, etc.). This means they need to understand both their own ositions/orientations and the surroundings to fulfill their tasks safely, accurately, and efficiently. This requires an intelligent extraction of both geometric and semantic information from sensory input (mainly visual sensors such as cameras/LIDAR). This course introduces basic knowledge of robotic vision, and provides hands-on project experiences of those emerging technologies in the context of intelligent robotic systems: including RGBD data processing for laser scanning, photogrammetric 3D reconstruction of buildings, visual simultaneous localization and mapping for AR/VR, machine learning applications in object recognition/tracking, semantic segmentation, place recognition from images when GPS is unreliable, and so on. Prerequisite: CS-UY 1114 and MA-UY 2034 or equivalents (see Minor in Robotics)