Direct Sparse Odometry
A new exciting work from the Computer Vision Group of TUM. “DSO is a novel direct and sparse formulation for
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Luigi Freda
Robotics & Computer Vision Engineer, PhD
Perception
3D Semantic Parsing of Large-Scale Indoor Spaces
“3D sensing has experienced a major progress with the availability of mature technology for scanning large-scale spaces that can reliably
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Lidar Sensor onto Single Chip
“At MIT’s Photonic Microsystems Group, the authors are developing a lidar-on-a-chip system that is smaller than a dime, has no
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Geometry and Beyond – Representations, Physics, and Scene Understanding for Robotics – RSS 2016
This is a very interesting workshop with very nice perspectives. Oliver Brock, TU Berlin „Geometry is dead” Hanif Kara said
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Event Camera SLAM
The slamcore start-up is pioneering breaktrough new algorithms for accurate and robust real-time event camera motion tracking and scene reconstruction
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Deep Learning for Robust Normal Estimation in Unstructured Point Clouds
Normal estimation in point clouds is a crucial first step for numerous algorithms, from surface reconstruction and scene understanding to
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SpotMini: A New Creature from Boston Dynamics
SpotMini is a new smaller version of the Spot robot. It can be equipped with an arm and is all-electric (no hydraulics).
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High-Performance and Tunable Stereo Reconstruction
In this work, Researchers of MIT present an high-performance and tunable stereo disparity estimation method. It succeeds to reach a
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Robotic Laundry
How about asking your robot to make a complete laundry cycle?…PR2 seems almost there. See more on this page.
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