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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| Main Authors: | , , , , |
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| Format: | Book Chapter |
| Language: | English English English |
| Published: |
Woodhead Publishing
2024
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| Subjects: | |
| 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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