Research of Water Detection in Autonomous Vehicles
Date
2019-12
Authors
Mekala, Sai Swathi
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Abstract
An autonomous car is a ground vehicle that navigates without human input. These
vehicles are expected to reach $60 billion in sales by 2025. But these autonomous
vehicles have many drawbacks: one among them is lack of water detection. This problem
has created havoc in the normal operation of autonomous vehicles which has interested
researchers to develop algorithms to overcome this problem. This research aims to
address the fundamental challenges pertaining to this issue using image classification.
For this task we first design a general image classification system for water detection and
propose a heuristic solution to classify the images. Secondly, we adopt a machine
learning technique and develop an algorithm to classify the images. We consider the
same image data set for both the models. The results show that the detection of water in
three different climatic conditions is feasible and convenient for the proposed model. The
results from the proposed image classification system for gray scale and color and the
machine learning technique are different, and the image classification model has more
accuracy than the machine learning technique.
Description
Keywords
Image classification
Citation
Mekala, S. S. (2019). <i>Research of water detection in autonomous vehicles</i> (Unpublished thesis). Texas State University, San Marcos, Texas.