Real-time robust multi-lane detection and tracking in challenging urban scenarios
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...
Main Authors: | Zhou, Hui, Zhang, Handuo, Hasith, Karunasekera, Wang, Han |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference Paper |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/141801 |
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