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Human-like driver model for emergency collision avoidance using neural network autoregressive with exogenous inputs

One of the most difficult challenges in providing a reliable and safe autonomous collision avoidance maneuver is developing the driver model that provides the planning system with the risk of an impending collision. Over the last few years, researchers have extensively studied several methodologies...

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Bibliographic Details
Main Authors: Nurhaffizah, Hassan, Mohd Hatta, Mohammad Ariff, Hairi, Zamzuri, Sarah ‘Atifah, Saruchi, Nurbaiti, Wahid
Format: Book Chapter
Language:English
English
English
Published: Woodhead Publishing 2024
Subjects:
TJ Mechanical engineering and machinery
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/41786/1/Machine%20Intelligence%20in%20Mechanical%20Engineering.pdf
http://umpir.ump.edu.my/id/eprint/41786/2/Human-like%20driver%20model%20for%20emergency%20collision%20avoidance_ABST.pdf
http://umpir.ump.edu.my/id/eprint/41786/3/Human-like%20driver%20model%20for%20emergency%20collision%20avoidance.pdf
http://umpir.ump.edu.my/id/eprint/41786/
https://doi.org/10.1016/B978-0-443-18644-8.00017-4
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Internet

http://umpir.ump.edu.my/id/eprint/41786/1/Machine%20Intelligence%20in%20Mechanical%20Engineering.pdf
http://umpir.ump.edu.my/id/eprint/41786/2/Human-like%20driver%20model%20for%20emergency%20collision%20avoidance_ABST.pdf
http://umpir.ump.edu.my/id/eprint/41786/3/Human-like%20driver%20model%20for%20emergency%20collision%20avoidance.pdf
http://umpir.ump.edu.my/id/eprint/41786/
https://doi.org/10.1016/B978-0-443-18644-8.00017-4

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