Real-time robust multi-lane detection and tracking in challenging urban scenarios

• Main Authors: Zhou, Hui, Zhang, Handuo, Hasith, Karunasekera, Wang, Han
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Lane Detection; Computer Vision
• Online Access: https://hdl.handle.net/10356/141801
• Institution: Nanyang Technological University

In this paper, we consider multi-lane detection in challenging urban scenarios such as emerging, ending, spitting and merging of lane markings, heavily curved lanes, zig-zag lanes, on/off ramp and disturbance of other road writings. We present a fast robust multi-lane detection and tracking framewor...