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pro vyhledávání: '"Aaron Angert"'
Publikováno v:
IEEE Robotics and Automation Letters. 4:586-593
We report a localization method that does not rely on the perception and recognition of landmarks for a robot/vehicle traveling in urban area. This is intended to be a fall back solution when everything else fails due to bad weather or other environm
Autor:
Alexander Braylan, Md. Mustafizur Rahman, Maarten de Rijke, Vivek Khetan, Quinten McNamara, Ye Zhang, Aaron Angert, Edward Banner, Heng-Lu Chang, Ismail Sengor Altingovde, Henna Kim, An Thanh Nguyen, Kezban Dilek Onal, Dan Xu, Brandon Dang, Matthew Lease, Byron C. Wallace, Pinar Karagoz, Tyler McDonnell
Publikováno v:
Information Retrieval Journal, 21(2-3), 111-182. Springer Netherlands
A recent “third wave” of neural network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing. Because these modern NNs often compri