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VISIONAIRY® relies on Scientific research

Compared to most AI startups, we really do Machine Learning. Our technologies are based on concepts and algorithms that we have submitted to the highest ranked and most competitive AI conferences on our planet. We have strong collaborations to top Professors, AI-Labs and leading companies. Safety should not be taken lightly, but shall be deeply studied scientifically. That is what we do. Have a look on our Collaborations on latest Scientific Papers & Articles.

Research
Spleenlab
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Kai Fischer, Martin Simon, Stefan Milz, Patrick Mader Abstract: Relocalization inside pre-built maps provides a big benefit in the course of today’s autonomous driving tasks where the map can be […]
Research
Spleenlab
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Sambit Mohapatra, Senthil Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mader Abstract: 3D object detection based on LiDAR point clouds is a crucial module in autonomous driving particularly for long range […]
News
Research
Spleenlab
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Together with well known partners in the Automotiv Industry Spleenlab coorganizes Safety Workshop. Motivation Autonomously driving vehicles will undoubtedly change the world. The realization of these changes is a huge […]
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Spleenlab
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Motivation From immersive experiences to autonomous driving to medical imaging and more, we are increasingly seeing that maximizing a camera’s field of view can solve real-world problems. In the past […]
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Spleenlab
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Martin Rabe, Stefan Milz, Patrick Mäder Abstract: Enabled by recent advances in the field of machine learning, the automotive industry pushes towards automated driving. The development of traditional safety-critical automotive […]
Research
Spleenlab
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Kai Fischer, Martin Simon, Florian Olsner, Stefan Milz, Horst-Michael Groß, Patrick Mäder Abstract Robust point cloud registration in real-time is an important prerequisite for many mapping and localization algorithms. Traditional […]
Research
Spleenlab
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Our objective is to provide a venue for novel research in omnidirectional computer vision with an eye toward actualizing these ideas for commercial or societal benefit. As omnidirectional cameras become […]
Research
Spleenlab
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Florian Ölsner, Stefan Milz Abstract: Automated flight, e.g. first person view drone racing is a challenging task involving many sub-problems like monocular object detection, 3D pose estimation, mapping, optimal path […]
Research
Spleenlab
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Varun Ravi Kumar, Senthil Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mader Abstract: In classical computer vision, rectification is an integral part of multi-view depth estimation. It typically includes […]
Research
Spleenlab
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Stefan M., Sebastian Süss, Tobias Rüdiger, Florian Ölsner, Friedrich Möller, Mateusz Olichwer, Michal Uricar Abstract: Everyone is talking about intuitive and automated transportation. An important and very challenging part of […]
Research
Spleenlab
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Stefan M., Sebastian Süss, Tobias Rüdiger, Florian Ölsner, Friedrich Möller, Mateusz Olichwer, B Ravi Kiran, Isabelle Leang, Senthil Yogamani Abstract: Recently, aerial LiDAR data opened lots of new opportunities for […]
Research
Spleenlab
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Stefan Milz, Tobias Rüdiger, Sebastian Süss Abstract Environmental perception for autonomous aerial vehicles is a rising field. Recent years have shown a strong increase of performance in terms of accuracy […]
Research
Spleenlab
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B Ravi Kiran, Luis Roldão, Benat Irastorza, Renzo Verastegui, Sebastian Suss, Senthil Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard Abstract: Lidar has become an essential sensor for autonomous driving as […]

We are always open for initial applications especially joint PhDs with Top-Professors, please send them directly to: contact@spleenlab.com