Preprint Article Version 1 This version is not peer-reviewed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 (doi: 10.20944/preprints201805.0326.v1). Kodi, B.; M, M. Curve Path Detection in Autonomous Vehicle using Deep Learning. Preprints 2018, 2018050326 (doi: 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.

Subject Areas

autonomous vehicles, lane detection, curve path detection, convolutional neural networks, deep learning

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