Using Convolutional Neural Networks in Robots with Limited Computational
Resources: Detecting NAO Robots while Playing Soccer

Using Convolutional Neural Networks in Robots with Limited Computational Resources: Detecting NAO Robots while Playing Soccer

20 June 2017

Kenzo Lobos-Tsunekawa

Javier Ruiz-del-Solar

Papers citing "Using Convolutional Neural Networks in Robots with Limited Computational Resources: Detecting NAO Robots while Playing Soccer"

8 / 8 papers shown

Title
Real-Time Object Detection and Recognition on Low-Compute Humanoid Robots using Deep Learning Sayantan Chatterjee F. H. Zunjani Souvik Sen G. C. Nandi 3DH 16 15 0 20 Jan 2020
ROBO: Robust, Fully Neural Object Detection for Robot Soccer Marton Szemenyei V. Estivill-Castro 25 5 0 24 Oct 2019
xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware Daniel Barry Munir Shah M. Keijsers Humayun Khan Banon Hopman ObjD 16 18 0 08 Oct 2019
A Framework of Transfer Learning in Object Detection for Embedded Systems Ioannis Athanasiadis Panagiotis G. Mousouliotis L. Petrou ObjD 19 14 0 12 Nov 2018
Visual Mesh: Real-time Object Detection Using Constant Sample Density Trent Houliston Stephan Chalup ObjD 3DH 22 10 0 23 Jul 2018
Deep Learning for Semantic Segmentation on Minimal Hardware S. V. Dijk Marcus M. Scheunemann SSeg 26 20 0 15 Jul 2018
A Survey on Deep Learning Methods for Robot Vision Javier Ruiz-del-Solar P. Loncomilla Naiomi Soto 31 60 0 28 Mar 2018
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 235 2,059 0 07 Jun 2016