RA-L & ICRA 2020: A Hybrid Compact Neural Architecture for Visual Place Recognition

ICRA 2020

RA-L & ICRA 2020: A Hybrid Compact Neural Architecture for Visual Place Recognition

Sep 18, 2020
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Presentation of my IEEE Robotics and Automation Letters (RA-L) paper at the Proceedings of the IEEE International Conference on Robotics and Automation ICRA 2020. Tiltle: "A Hybrid Compact Neural Architecture for Visual Place Recognition" Authors: Marvin Chancán, Luis Hernandez-Nunez, A. Narendra, Andrew B. Barron, and Michael Milford Full paper, preprint, code and more available at the project page: https://mchancan.github.io/projects/FlyNet Video outline: 0:00 - Intro & Problem Definition 2:37 - Related Work 4:13 - Proposed Approach 7:15 - Experimental Results 9:48 - Conclusions Links: Twitter: https://twitter.com/mchancan Homepage: http://mchancan.github.io LinkedIn: https://www.linkedin.com/in/mchancan #IEEE #RoboticsAndAutomationLetters #ICRA2020 #ICRA #NeuralNetworks #RecurrentNeuralNetworks #DeepLearning #MachineLearning #Neuroscience #ComputerScience #Robots #AutonomousVehicles #VisualPlaceRecognition #Localization #Navigation #Research #PhD #Robotics #AutonomousSystems #HarvardUniversity

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