Automated Overtake Assist System Using YOLOv4 and Mask R-CNN for Enhanced Autonomous Driving

Automated Overtake Assist System Using YOLOv4 and Mask R-CNN for Enhanced Autonomous Driving

The advent of computer vision technology has significantly advanced the development of automated driving systems, enabling more sophisticated and safer driving aids. This paper presents an Automated Overtake Assist (AOA) system that leverages state-of-the-art computer vision algorithms—YO...

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Bibliographic Details
Main Authors: Navya Thirumaleshwar Hegde, Kapileswar Rana, S. S. Barath, Florence Nishmitha, Vishnu G. Nair
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Automated overtake assist
YOLOv4
mask R-CNN
computer vision
ultrasonic sensor
raspberry Pi
Online Access:https://ieeexplore.ieee.org/document/11097311/
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https://ieeexplore.ieee.org/document/11097311/

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