Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions-Reference-Cited by-同舟云学术

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Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions

Published:2024-01 Issue: Volume: Page:100733
ISSN:2214-2096
Container-title:Vehicular Communications
language:en
Short-container-title:Vehicular Communications

Author:

Bharilya Vibha^ORCID,Kumar Neetesh

Publisher

Elsevier BV

Reference240 articles.

1. Global status report on road safety 2018: Summary, world health org., geneva, switzerland, 2018.

2. Road trauma australia—annual summaries, australia, 2022.

3. https://in.mathworks.com/products/automated-driving.html.

4. https://in.mathworks.com/products/connections/product_detail/prescan.html.

5. https://www.carsim.com/.

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