Videos

Meet the latest addition to UVA Engineering assistant professor Nicola Bezzo's lab.

The Link Lab Graduate Seminar, sponsored by Link Lab affiliate Leidos, provides a prestigious honor and award for a PhD student to showcase the highest quality research happening at Link Lab.

A short clip of what is possibly the world’s first fully autonomous hight-speed overtake which happened during the 4th F1/10 International Autonomous Racing Competition that I organized in Montreal this year. The winning team was University of North Carolina, Chapel Hill. They set a fastest lap time of 11.5 seconds in a track roughly 150ft in total length, hitting an average speed of about 12mph with a fastest speed toughing 16-17mph briefly.

The University of Virginia School of Engineering & Applied Science's Link Lab is catalyzing a new cyber age.

Course title: F1/10 Autonomous Racing - Principles of Perception, Planning, and Control Course Instructor: Prof. Madhur Behl, Computer Science, University of Virginia Spring 2018 - CS 4501/SYS 4582 Students will work in teams to build, drive, and race 1/10th scale autonomous cars, while learning about the principles of perception, planning, and control. You will learn to use robot operating system (ROS), integrate various sensors (IMU, Cameras, LIDAR) on an embedded computer, and implement algorithms for localization, mapping, path planning, and control. The course culminates in a F1/10 ‘battle of algorithms’ race amongst the teams. ---- Credits: Music: ‘Breath of Fresh Air' by Clement Marfo. (All rights to music belong to the music owner and the artist - This video is not monetized.)

Course Website: https://linklab-uva.github.io/modeling_cps/

Course title: F1/10 Autonomous Racing - Principles of Perception, Planning, and Control Course Instructor: Prof. Madhur Behl, Computer Science, University of Virginia Spring 2019 - CS 4501/SYS 4582 Course website: https://linklab-uva.github.io/autonom... Students will work in teams to build, drive, and race 1/10th scale autonomous cars, while learning about the principles of perception, planning, and control. You will learn to use robot operating system (ROS), integrate various sensors (IMU, Cameras, LIDAR) on an embedded computer, and implement algorithms for localization, mapping, path planning, and control. The course culminates in a F1/10 ‘battle of algorithms’ race amongst the teams.