Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Moussa Medhat"'
A sudden roadblock on highways due to many reasons such as road maintenance, accidents, and car repair is a common situation we encounter almost daily. Autonomous Vehicles (AVs) equipped with sensors that can acquire vehicle dynamics such as speed, a
Externí odkaz:
http://arxiv.org/abs/2309.14395
Publikováno v:
In Flow Measurement and Instrumentation October 2024 99
Autor:
Van De Walker, Brent, Byrne, Brendan, Near, Joshua, Purdie, Blake, Whatman, Matthew, Weales, David, Tarry, Cole, Moussa, Medhat
This article presents a method for developing a realistic robotics simulation environment for application in vegetable greenhouses. The method pipeline starts with the construction of a 3D cloud images of the greenhouse rows. This data is then used t
Externí odkaz:
http://arxiv.org/abs/2107.14348
We introduce a labeling tool and dataset aimed to facilitate computer vision research in agriculture. The annotation tool introduces novel methods for labeling with a variety of manual, semi-automatic, and fully-automatic tools. The dataset includes
Externí odkaz:
http://arxiv.org/abs/2004.03351
Batch normalization (batch norm) is often used in an attempt to stabilize and accelerate training in deep neural networks. In many cases it indeed decreases the number of parameter updates required to achieve low training error. However, it also redu
Externí odkaz:
http://arxiv.org/abs/1905.02161
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It has been suggested that adversarial examples cause deep learning models to make incorrect predictions with high confidence. In this work, we take the opposite stance: an overly confident model is more likely to be vulnerable to adversarial example
Externí odkaz:
http://arxiv.org/abs/1802.04457
Neural networks with low-precision weights and activations offer compelling efficiency advantages over their full-precision equivalents. The two most frequently discussed benefits of quantization are reduced memory consumption, and a faster forward p
Externí odkaz:
http://arxiv.org/abs/1711.00449
An original dataset for semantic segmentation, Ciona17, is introduced, which to the best of the authors' knowledge, is the first dataset of its kind with pixel-level annotations pertaining to invasive species in a marine environment. Diverse outdoor
Externí odkaz:
http://arxiv.org/abs/1702.05564
Deep learning is an established framework for learning hierarchical data representations. While compute power is in abundance, one of the main challenges in applying this framework to robotic grasping has been obtaining the amount of data needed to l
Externí odkaz:
http://arxiv.org/abs/1702.02103