Machine learning approach in identifying speed breakers for autonomous driving: an overview

• Main Authors: Choong, Chun Sern, Ahmad Fakhri, Ab. Nasir, Anwar, P. P. Abdul Majeed, Muhammad Aizzat, Zakaria, Mohd Azraai, M. Razman
• Format: Book Section
• Language: English; English; English; English
• Published: Springer, Singapore 2018
• Subjects: TS Manufactures
• 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

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...