Pascual Campoy
KEYNOTE
Vision on Board the Drones
Pascual Campoy
Centre of Automation & Rootics (CAR)
Universidad Politecnica de Madrid, Spain
ABSTRACT
A large part of our cerebral cortex is dedicated to visual processing, but our sensors must be carried on our faces. What if we could have eyes in the air, flying, many of them, and interpreting what we see? This is what new drone technologies offer us, with onboard cameras and real-time intelligent interpretation of the environment.
This real-time visual interpretation of the environment enables the drone to achieve the autonomy necessary to carry out complex missions and perform maneuvers in relation to its immediate surroundings, positioning itself where needed to acquire information. This information can be transmitted to the ground for real-time decision-making, while at the same time, a large amount of information—both visual and from other sensors—can be stored onboard for later processing and interpretation on the ground.
This talk provides a general overview of the various technologies involved in carrying out autonomous drone missions using onboard sensors, with a particular focus on Intelligent Image Interpretation. It will showcase different industrial applications developed by the Research Group in Computer Vision and Aerial Robotics at the Center for Automation and Robotics (CSIC-UPM), as well as the current scientific and technological challenges faced by the international scientific community.
SPEAKER BIOGRAPHY
Pascual Campoy is Full Professor on Automatics at the Universidad Politécnica Madrid UPM (Spain) where he lectures on Control, Machine Learning and Computer Vision. He has been visiting professor at DCSC Department in TUDelft (The Netherlands) from 2014 to 2019, and previously visiting professor at Tong Ji University (Shanghai-China) in 2013 and in Q.U.T. (Australia) 2011. He received his PhD in Automatics & Robotics at Universidad Politecnica Madrid in 1988, where he previously received his Master tittle in Automatics Engineering in 1983.
He is leading the Research Group on “Computer Vision and Aerial Robotics” at U.P.M. within the Centre of Automatics and Robotics (C.A.R.), whose activities are aimed at increasing the autonomy of the Unmanned Aerial Vehicles (UAV) by exploiting the powerful sensor of Vision, using cutting-edge technologies in Image Processing, Control and Machine Learning.
He has been heading director of over 50 R&D projects, including R&D European projects, national R&D projects and over 30 technological transfer projects directly contracted with the industry. He is author of around 200 international scientific publications and nine patents, three of them registered internationally. He is awarded in the top international UAV competitions: IMAV12, IMAV13, IARC14, IMAV16 and IMAV17, General Chair for IMAV 2019, coordinator of the international team awarded with the third place at the Grand Challenge MBZIRC20, as well as RAMI-IROS22, ICUAS 22, IMAV 22 and ICUAS23.
