An intelligent approach for Speed Bump Detection

被引：0

作者：

Hussein, Abrar Ahmed ^{[1
]}

Omar, Mariam Mohamed ^{[1
]}

Altamimi, Jawaher Suliman ^{[2
]}

Ead, Waleed M. ^{[1
]}

机构：

[1] Beni Suef Univ, Comp & Artificial Intelligence, Bani Suwayf, Egypt

[2] Najran Univ, Appl Coll, Dept Comp, Najran, Saudi Arabia

来源：

2024 IEEE 3RD INTERNATIONAL CONFERENCE ON COMPUTING AND MACHINE INTELLIGENCE, ICMI 2024 | 2024年

关键词：

Speed bumps; intelligence systems; safe roads; detection; Deep learning; Kinect camera;

D O I：

10.1109/ICMI60790.2024.10586000

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose an intelligent approach that uses YOLO algorithms to detect marked and unmarked bumps. The proposed approach for speed bumps based on real data collected from the Upper Egypt region in Egypt. Several data augmentations were performed on it. The proposed approach reached a mAP of 81% in the model while also calculating the distance from the car to the bump. We have used the Jetson Nano and the Xbox Kinect camera hardware to achieve this objective. Based on road preview using a camera, this work can be used to inform and alert the driver via a mobile application to make the ride more safe, prevent accidents, and reduce vehicle damage.

引用

页数：6

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