Agile Drone Flight through Narrow Gaps with Onboard Sensing and Computing
From Google+, Davide Scaramuzza presents his last work on perception aware path planning for quadrotors. “I am happy to share
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computer vision
A Self-Driving Fleet Arrives in Pittsburgh This Month – Uber Steps on the Accelerator
Uber is definitely stepping on the accelerator… “Starting later this month, Uber will allow customers in downtown Pittsburgh to summon
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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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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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Hierarchical Progressive Multiview Stereo
Progressive multiview stero is an implementation of an algorihm taking a sparse 3D model (result of structure from motion software)
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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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Deep Reinforcement Learning: from Pong Pixels to a Learned Player
Here you can find a fantastic post on reinforcement learning by Andrej Karpathy. The Author explains how it is possible
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Probabilistic Volumetric Reconstruction using Ray Potentials
From the webpage of the project “This paper presents a novel probabilistic foundation for volumetric 3-d reconstruction. We formulate the problem as
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Active Volumetric 3D Reconstruction
A new open-source library has been released by the Robotics and Perception Group of Davide Scaramuzza. Technical details of the
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Itseez Acquired by Intel
OpenCV originated at Intel, and is now back at Intel. People wonder about the possibility that OpenCV can stop beeing
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Google Tensor Processing Units (TPUs)
Google revealed the TPU (Tensor Processing Unit), a custom ASIC designed and built specifically for machine learning applications.
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Hyper-Reality
“Hyper-Reality (total runtime approx 6 minutes) is a concept film by Keiichi Matsuda. It presents a provocative and kaleidoscopic new
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Spatiotemporal Bundle Adjustment for Dynamic 3D Reconstruction
An interesting work from CMU. A spatiotemporal cost function is defined in order to jointly estimates both the spatiotemporal camera
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