Driverless cars that ‘see’ the road ahead
Micheal Milford explains how to make a driverless car see the road ahead. From his Google+ post: “We were asked to
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Luigi Freda
Computer Vision, AI, Robotics Engineer, PhD
machine learning
Do we need self-driving cars?
This post reports that a self-driving Uber car was involved in a high-speed crash in Tempe, Arizona. No one was
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Bias and variance tradeoff
This very nice post clearly explains the bias and variance tradeoff http://www.learnopencv.com/bias-variance-tradeoff-in-machine-learning/ This tradeoff can be mathematically stated by the
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The Going Rate for Self-driving Talent is $10 million per Person, word of Sebastian Thrun
According to this post, Sebastian Thrun said “Uber has just bought a half-a-year-old company [Otto] with 70 employees for almost $700
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ElasticFusion – Real-time Light Source Detection
A new journal paper about ElasticFusion has come out from Davison’s group. New exciting results on 3D light source mapping are presented.
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Probabilistic Deep Network
This post explains a trick which allows us to convert neural network outputs into probabilities, with no cost to performance,
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Are the Sceptics Right? Limits and Potentials of Deep Learning in Robotics
This post presents an interesting summary of the RSS 2016 Workshop Here you can fine official page and description of the
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Tiny-CNN: Header-only, Dependency-free Deep Learning Framework
Tiny-CNN is an header-only, dependency-free deep learning framework for C++11. Just include tiny_cnn.h and write your model in C++. There is
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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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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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Long Short-Term Memory Networks (LSTMs)
In this nice post, LSTMs are described to have more control than typical RNNs over what they remember. In general,
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History of Neural Network Design
From Eugenio Curlurciello’s blog, Professor at Purdue University, you can find here a post about the the history of neural network design
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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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