Session: Fall 2023
This is an advanced course on autonomy stack for aerial robots. A unique aspect of this course is its hands-on aspect. Our goal is to train the students to develop real-time perception, planning, control and AI algorithms for the realization of autonomous aerial systems. The course follows a series of projects that will finally build upto an autonomous drone race on an obstacle course in which the students will compete.
Session: Spring 2023
This is an advanced course on graduate computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course is heavily redesigned this time to showcase how to model classical 3D geometry problems using Deep Learning.
Session: Fall 2022
This is an advanced course on graduate computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course is heavily redesigned this time to showcase how to model classical 3D geometry problems using Deep Learning.
Session: Spring 2022
This is the second course in the First-Year Innovation and Research Experience program, the students work on projects with the common theme of autonomous unmanned systems or robotics.
Session: Fall 2021
This is the third course in the First-Year Innovation and Research Experience program, the students work on projects with the common theme of autonomous unmanned systems or robotics.
Session: Fall 2019
This is an advanced graduate course that exposes the students with mathematical foundations of computer vision, planning and control for aerial robots. This course was designed and taught by me and Chahat Deep Singh. The course is designed to balance theory with an application on hardware.
Session: Fall 2017
This is a comprehensive course on aerial robotics, with a focus on quadcopters and their related hardware and software implementations. The course will cover both the theoretical and practical aspects of quadcopters, with special focus on perception, planning and control algorithms involved in the same. This course was completely designed by me.
Session: Spring 2019
Instructor: Prof. Yiannis Aloimonos
This is an advanced course on graduate computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course is heavily redesigned this time to showcase how to model classical 3D geometry problems using Deep Learning. This course was designed by me and Chahat Deep Singh.
Session: Spring 2017
Instructor: Prof. Yiannis Aloimonos
This is an advanced course on graduate computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course was designed by me.
Session: Fall 2016
Instructor: Prof. Yiannis Aloimonos
This is an introductory course on computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course was designed by me.
