Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks

Saleh, K; Abobakr, A; Hossny, M; Nahavandi, D; Iskander, J; Attia, M; Nahavandi, S

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Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks

Version 2 2024-06-04, 02:23

Version 1 2021-09-27, 12:50

journal contribution

posted on 2024-06-04, 02:23 authored by K Saleh, A Abobakr, M Hossny, D Nahavandi, J Iskander, M Attia, S Nahavandi

Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks

History

Journal

Neurocomputing

Volume

465

Pagination

205-214

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.neucom.2021.09.008

ISSN

0925-2312

eISSN

1872-8286

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Elsevier

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Keywords

cyclist intent LiDAR neural networks autonomous vehicles 4009 Electronics, sensors and digital hardware 4603 Computer vision and multimedia computation

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File(s) under permanent embargo

Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks

History

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Publisher DOI

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