In this episode of the Computer Vision in Production Podcast I speak with Roland Meertens.

Roland is a product manager at Annotell. He is a lover of robotics (especially self-driving cars) and all challenges that come with understanding the world around the robot. "It’s important to teach the robot how the world around it works using lots of data, good training algorithms, and good evaluation methods". He spends most of his time designing products that solve these problems in an easy way for perception engineers.

Before he developed machine learning solutions for the perception problem of autonomous vehicles at AID - Autonomous Intelligent Driving in Munich. They used lidar and camera data to determine what’s around us, and what traffic participants are going to do. In the end I drove long distances through Munich in our self-developed self-driving car!

Before working at AID he developed deep learning approaches for natural language processing (NLP) problems at Infor, computer vision for drones as a researcher at the TU Delft, and social robotics at SpirOps. During his study of Artificial Intelligence at the Radboud University, he specialized in cognitive artificial intelligence and brain-computer interfacing.

Make sure to follow Roland on Twitter: https://twitter.com/rolandmeertens, and connect with him on LinkedIn.

Computer Vision in Production - Roland Meertens

Daniel Medina is a research fellow at the Institute of Communications and Navigation of the German Aerospace Center (DLR). Daniel performs research on Global Navigation Satellite Systems (GNSS) to enable precise and robust localization for prospective autonomous vehicles. He received his B.S. in Electrical Engineering from University of Malaga and his M.S. in Computer Science from University Carlos III of Madrid and he is at the verge of defending his PhD on Computer Science.

Computer Vision in Production - Daniel Arias Medina

Ruben Cardenes is physicist and PhD in Medical Image Analysis and Artificial Intelligence with over 15 years of academic and professional experience in Computer Vision.

He has a strong academic background in medical imaging with research and teaching experience in three different universities, serving as reviewer in top journals and conferences (MedIA, IEEE T. on Medical Imaging, MICCAI, ISBI) and contributing with more than 20 journal publications and over 40 international conference publications. He has participated in projects with institutions like Harvard Medical School, Imperial College London, Helmholtz Zentrum Berlin or UPF in Barcelona, in applications ranging from neuroimaging, cardiovascular imaging and single cellular analysis.

He joined AstraZeneca (formerly Definiens) in 2015 where he was leading a team located in Munich and Boston that applied novel image analysis techniques in large populations for the development of immunotherapy treatments.

He works since 2019 at Hensoldt Ventures (Munich) as expert in Computer Vision and AI, in real time object detection, tracking and classification with special focus in drone applications, such as anti-UAV systems or drone autonomous flying.

Computer Vision in Production - Ruben Cardene

Computer Vision in Production is a Technology community for working professionals, aspiring engineers and business owners.

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We believe that by connecting the best engineers together in a learning environment will spark innovation and pave the path for us to see even more Computer Vision in Production.

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Computer Vision in Production - Ruben Cardene

Computer Vision in Production

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