Article
Version 1
Preserved in Portico This version is not peer-reviewed
Curve Path Detection in Autonomous Vehicle using Deep Learning
Version 1
: Received: 21 May 2018 / Approved: 24 May 2018 / Online: 24 May 2018 (04:56:42 CEST)
How to cite: Kodi, B.; M, M. Curve Path Detection in Autonomous Vehicle using Deep Learning. Preprints 2018, 2018050326. https://doi.org/10.20944/preprints201805.0326.v1 Kodi, B.; M, M. Curve Path Detection in Autonomous Vehicle using Deep Learning. Preprints 2018, 2018050326. https://doi.org/10.20944/preprints201805.0326.v1
Abstract
In the field of autonomous vehicles, lane detection and control plays an important role. In autonomous driving the vehicle has to follow the path to avoid the collision. A deep learning technique is used to detect the curved path in autonomous vehicles. In this paper a customized lane detection algorithm was implemented to detect the curvature of the lane. A ground truth labelling tool box for deep learning is used to detect the curved path in autonomous vehicle. By mapping point to point in each frame 80-90% computing efficiency and accuracy is achieved in detecting path.
Keywords
autonomous vehicles, lane detection, curve path detection, convolutional neural networks, deep learning
Subject
Engineering, Automotive Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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