Open AccessCARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction
Author(s) -
Matías Mendieta,
Hamed Tabkhi
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i3.16335
Subject(s) - computer science , pedestrian , path (computing) , convolutional neural network , machine learning , artificial intelligence , inference , graph , task (project management) , variety (cybernetics) , data mining , theoretical computer science , engineering , systems engineering , transport engineering , programming language
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