Computer Vision in Production - Roland Meertens

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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.

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