Open AccessPedestrian's Intention Recognition, Fusion of Handcrafted Features in a Deep Learning Approach
Author(s) -
Omar Hamed,
H. Joe Steinhauer
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.v35i18.17894
Subject(s) - computer science , pedestrian , deep learning , artificial intelligence , track (disk drive) , artificial neural network , point (geometry) , architecture , advanced driver assistance systems , machine learning , computer vision , transport engineering , engineering , geography , geometry , mathematics , archaeology , operating system
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom