: Covers how robots perceive and navigate their environment using Bayesian filters, Kalman Filters, and Simultaneous Localization and Mapping ( SLAM ). Key Projects and Skills
: Building a system to map facial features (eyes, nose, mouth) using image processing and CNNs. Udacity - Computer Vision Nanodegreerar
: Implementing SLAM to allow an autonomous vehicle to map its surroundings while tracking its own location. Prerequisites and Commitment : Covers how robots perceive and navigate their
The curriculum is divided into three primary sections, totaling approximately of coursework: totaling approximately of coursework: