Principal Computer Vision Engineer
Research & Computer Vision
Working on cutting-edge algorithms for underwater robot localization and 3D reconstruction based on stereo-vision. Combining a large number of sensors (IMU, depth, DVL, USBL...) and vision (odometry and loop closings) to obtain the best robot position in the worst conditions. Designing algorithms to provide 3D reconstructions of subsea environments online, during the robot mission. With the main objecive of guiding the ROVs pilots or helping the technicians or inspectors with instant visualizations of marine structures.
Vaarst is a cloud robotics business, focused on the energy transition space. We are developing a platform for mobile autonomous robotics, starting with the offshore renewables sector, where our aim is to solve robotic challenges of today and the future.
We produce state of the art computer vision coupled with the latest in machine learning techniques. We use this to deploy underwater robots on wind farms where they perform visual surveys and output detailed 3D models.
Our team have won numerous awards and have been recognised for their contribution to advancements in vision, data and autonomous technology.
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