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