El curso ofrece la oportunidad de aprender las principales técnicas de visión por computador que permiten detectar y reconocer objetos en una imagen. Está orientado a estudiantes interesados en adquirir el conocimiento necesario para el desarrollo de aplicaciones reales de detección y reconocimiento...

You will learn how to infer the position of the quadrotor from its sensor readings and how to navigate it along a trajectory. In recent years, flying robots such as miniature helicopters or quadrotors have received a large gain in popularity. Potential applications range from aerial filming over remote...

This course will introduce you to the basics of AI. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

Learn how to program all the major systems of a robotic car. Topics include planning, search, localization, tracking, and control.

Теория распознавания образа -  раздел информатики и смежных дисциплин, развивающий основы и методы классификации и идентификации предметов, явлений, процессов, сигналов, ситуаций и т. п. объектов, которые характеризуются конечным набором некоторых свойств и признаков. Распознавание цифр, букв на экр...

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments...

Развитие подводной техники и информационных технологий за прошедшие несколько десятков лет привело к созданию новых технических средств, в числе которых важное место занимают автономные необитаемые подводные аппараты. Подводные аппараты оснащены источником энергии, бортовой системой управления,  дви...

Deep learning is a rapidly growing segment of artificial intelligence. It is increasingly used to deliver near-human level accuracy for image classification, voice recognition, natural language processing, sentiment analysis, recommendation engines, and more. Applications areas include facial recognition...

This tutorial will look at how deep learning methods can be applied to problems in computer vision, most notably object recognition. It will start by motivating the need to learn features, rather than hand-craft them. It will then introduce several basic architectures, explaining how they learn features...