Curve Path Detection in Autonomous Vehicle using Deep Learning

Abstract

Abstract:In the field of autonomous vehicles, lane detection and control play 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.

Enhanced Safety in Multi-Lane Automated Driving Through Semantic Features

“…Lane detection systems play a pivotal role in advanced driver assistance systems and autonomous driving technologies by providing robust and stable lane marking detection in complex traffic scenarios (Hoang et al, 2017). These systems are designed to detect lane markings, distinguish between different types of lanes (such as dashed and solid lanes), and track multiple lanes simultaneously (Kodi, 2018). Multi-lane detection is essential for autonomous vehicles, especially when changing lanes, as it enhances the vehicle's vision navigation capabilities (Hoang et al, 2016).…”