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Journal article

Deep Learning-Based Motion Prediction Leveraging Autonomous Driving Datasets: State-of-the-Art

Abstract

Autonomous vehicles continue to advance, primarily due to the continuous development and improvement of deep learning methods. Motion prediction of road users is a function that humans perform naturally while driving, such as anticipating when a pedestrian is likely to cross an intersection or when a vehicle would like to merge into a lane. Similarly, the ability to predict the motion of other road users has become a key function for autonomous …

Authors

Barrios FA; Biswas A; Emadi A

Journal

IEEE Access, Vol. 12, , pp. 93318–93332

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 2024

DOI

10.1109/access.2024.3423809

ISSN

2169-3536

Labels

Sustainable Development Goals (SDG)