A Reliable and Robust Lane Detection System based on the Parallel Use of Three Algorithms for Driving Safety Assistance

By R. Labayrade, J. Douret, J. Laneurit, R. Chapuis. 2006

68 citations recorded by the source corpus.

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A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “Dynamic information can also be used alongside Kalman filtering [198] or particle filtering [204] to achieve smoother results.”
Recent progress in road and lane detection: a survey (2014, methodology): “[4,51]), go through a thresholding step that yields a binary edge map.”
Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy (2016, methodology): “Traditional methods of camera-based drivable path estimation for road vehicles involve preprocessing steps to remove shadow and exposure artefacts [7], [8], extraction of lowlevel road and lane features [9], [10], fitting road and lane models to feature detections [11], [12], and temporal fusion of ”
Perception, Planning, Control, and Coordination for Autonomous Vehicles (2017, methodology): “For example, the Kalman filter can be found in [69,97,107], and particle filter is applied in [80,85,92,104].”
Overview of Environment Perception for Intelligent Vehicles (2017, background): “In [24], [25], [26], the lane marks were assumed to have narrower shape and brighter intensity than their surroundings.”