Pothole and Plain Road Classification Using Adaptive Mutation Dipper Throated Optimization and Transfer Learning for Self Driving Cars

Pothole and Plain Road Classification Using Adaptive Mutation Dipper Throated Optimization and Transfer Learning for Self Driving Cars

Self-driving car plays a crucial role in implementing traffic intelligence. Road smoothness in front of self-driving cars has a significant impact on the car’s driving safety and comfort. Having potholes on the road may lead to several problems, including car damage and the occurrence of...

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Bibliographic Details
Main Authors: Amel Ali Alhussan, Doaa Sami Khafaga, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Marwa Metwally Eid, Abdelaziz A. Abdelhamid
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Potholes classification
dipper throated optimization
particle swarm optimization
adaptive mutation
optimized SMOTE
feature selection
Online Access:https://ieeexplore.ieee.org/document/9850988/

Internet

https://ieeexplore.ieee.org/document/9850988/

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