Machine Learning Based on Road Condition Identification System for Self-Driving Cars


Authors : Ligitha Sakthymayuran; Disne Kajanath

Volume/Issue : Volume 9 - 2024, Issue 2 - February

Google Scholar : https://tinyurl.com/y3jd5avu

Scribd : https://tinyurl.com/35bm4wuc

DOI : https://doi.org/10.38124/ijisrt/IJISRT24FEB1512

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Abstract : Modern self-driving cars heavily rely on visual inputs to make decisions and it contains resolving significant computer vision issues. The development of deep learning has opened up a number of opportunities to enhance those computer vision issues and hence be able to enhance performance in autonomous driving applications. The primary function of vision-guided systems is object segmentation to comprehend the surroundings. This study uses deep learning techniques to create an effective model of the best path to follow an item on a self-driving vehicle. And helping with improved decision-making to locate the least expensive routes during navigation.

Modern self-driving cars heavily rely on visual inputs to make decisions and it contains resolving significant computer vision issues. The development of deep learning has opened up a number of opportunities to enhance those computer vision issues and hence be able to enhance performance in autonomous driving applications. The primary function of vision-guided systems is object segmentation to comprehend the surroundings. This study uses deep learning techniques to create an effective model of the best path to follow an item on a self-driving vehicle. And helping with improved decision-making to locate the least expensive routes during navigation.

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