publication . Preprint . Other literature type . Conference object . 2018

Towards End-to-End Lane Detection: an Instance Segmentation Approach

Davy Neven; Bert De Brabandere; Stamatios Georgoulis; Marc Proesmans; Luc Van Gool;
Open Access English
  • Published: 01 Jun 2018
Abstract
Modern cars are incorporating an increasing number of driver assist features, among which automatic lane keeping. The latter allows the car to properly position itself within the road lanes, which is also crucial for any subsequent lane departure or trajectory planning decision in fully autonomous cars. Traditional lane detection methods rely on a combination of highly-specialized, hand-crafted features and heuristics, usually followed by post-processing techniques, that are computationally expensive and prone to scalability due to road scene variations. More recent approaches leverage deep learning models, trained for pixel-wise lane segmentation, even when no ...
Subjects
ACM Computing Classification System: ComputerApplications_COMPUTERSINOTHERSYSTEMSComputerSystemsOrganization_PROCESSORARCHITECTURES
free text keywords: Computer Science - Computer Vision and Pattern Recognition, Segmentation, Image segmentation, Heuristics, Computer vision, Advanced driver assistance systems, Feature extraction, Artificial intelligence, business.industry, business, Computer science, Deep learning, Scalability, Artificial neural network
Related Organizations
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publication . Preprint . Other literature type . Conference object . 2018

Towards End-to-End Lane Detection: an Instance Segmentation Approach

Davy Neven; Bert De Brabandere; Stamatios Georgoulis; Marc Proesmans; Luc Van Gool;