ENet-21: An Optimized light CNN Structure for Lane Detection

arXiv:2403.19782v1 Announce Type: new
Abstract: Lane detection for autonomous vehicles is an important concept, yet it is a challenging issue of driver assistance systems in modern vehicles. The emergence of deep learning leads to significant progress in self-driving cars. Conventional deep learning-based methods handle lane detection problems as a binary segmentation task and determine whether a pixel belongs to a line. These methods rely on the assumption of a fixed number of lanes, which does not always work. This study …

abstract arxiv autonomous autonomous vehicles binary cars cnn concept cs.cv deep learning detection driver driving emergence issue lane detection leads light modern progress segmentation self-driving systems type vehicles