Computer Vision in Production - Roland Meertens

<p>In this episode of the Computer Vision in Production Podcast I speak with Roland Meertens.</p><p><br/></p><p>Roland is a product manager at <a href='https://www.annotell.com/'>Annotell. </a>He is a lover of robotics (especially self-driving cars) and all challenges that come with understanding the world around the robot. &quot;It’s important to teach the robot how the world around it works using lots of data, good training algorithms, and good evaluation methods&quot;. He spends most of his time designing products that solve these problems in an easy way for perception engineers.</p><p>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!</p><p>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 <a href='http://www.ru.nl/english/education/masters/artificial-intelligence/'>study of Artificial Intelligence at the Radboud University</a>, he specialized in cognitive artificial intelligence and brain-computer interfacing.</p><p>Make sure to follow Roland on <a href='https://twitter.com/rolandmeertens'>Twitter: https://twitter.com/rolandmeertens,</a> and connect with him on <a href='https://www.linkedin.com/in/rmeertens/'>LinkedIn</a>.</p>