Machine learning approach in identifying speed breakers for autonomous driving: an overview
Advanced control systems for autonomous driving is capable of nav-igating vehicles without human interaction with appropriate devices by sensing the environment nearby the vehicle. Majority of such systems, autonomous ve-hicles implement a deliberative architecture that will pave the way for vehicle...
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Main Authors: | , , , , |
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Format: | Book Section |
Language: | English English English English |
Published: |
Springer, Singapore
2018
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/24517/1/57.%20Machine%20learning%20approach%20in%20identifying%20speed%20breakers.pdf http://umpir.ump.edu.my/id/eprint/24517/2/57.1%20Machine%20learning%20approach%20in%20identifying%20speed%20breakers.pdf http://umpir.ump.edu.my/id/eprint/24517/13/9.%20Machine%20learning%20approach%20in%20identifying%20speed%20breakers%20for%20autonomous%20driving%20an%20overview.pdf http://umpir.ump.edu.my/id/eprint/24517/14/9.1%20Machine%20learning%20approach%20in%20identifying%20speed%20breakers%20for%20autonomous%20driving%20an%20overview.pdf http://umpir.ump.edu.my/id/eprint/24517/ https://doi.org/10.1007/978-981-13-8323-6_35 https://link.springer.com/chapter/10.1007/978-981-13-8323-6_35 |
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http://umpir.ump.edu.my/id/eprint/24517/14/9.1%20Machine%20learning%20approach%20in%20identifying%20speed%20breakers%20for%20autonomous%20driving%20an%20overview.pdf
http://umpir.ump.edu.my/id/eprint/24517/
https://doi.org/10.1007/978-981-13-8323-6_35
https://link.springer.com/chapter/10.1007/978-981-13-8323-6_35