Open AccessEnd-to-End Deep Neural Network Design for Short-term Path Planning
Author(s) -
Minh Quan Dao,
Davide Lanza,
Vincent Frémont
Publication year - 2019
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - computer science , end to end principle , trajectory , motion planning , artificial neural network , path (computing) , pipeline (software) , timestamp , artificial intelligence , parametric statistics , constraint (computer aided design) , deep learning , real time computing , task (project management) , computer vision , simulation , robot , engineering , physics , mechanical engineering , statistics , mathematics , systems engineering , astronomy , programming language
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