Proceedings ArticleDOI
A Robust Lane Detection and Verification Method for Intelligent Vehicles
Chun Wei Lin,Han-Ying Wang,Din-Chang Tseng +2 more
- Vol. 1, pp 521-524
TLDR
The proposed lane detection method is based on the lateral inhibition property of human vision system to clear up the edges of lane marks in variant weather conditions and can gain precise lane-mark information for a lane departure warning system.Abstract:
Robust lane detection is important to the lane departure warning (LDW) for driver assistant system. In this study, lane marks are extracted by searching the lane model parameters in a special defined parameter space without thresholding. The proposed method is based on the lateral inhibition property of human vision system to clear up the edges of lane marks in variant weather conditions; moreover, the lane detected results are verified by the proposed conjugate Gaussian model such that there are no false alarm on the edges of shadow and other vehicles. The proposed lane detection method can gain precise lane-mark information for a lane departure warning system.read more
Citations
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Journal ArticleDOI
Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision
TL;DR: In this paper, previous vision-based lane detection studies are reviewed in terms of three aspects, which are lane detection algorithms, integration, and evaluation methods, and a Computational experiment-based parallel lane detection framework is proposed.
Proceedings ArticleDOI
End-To-End Ego Lane Estimation Based on Sequential Transfer Learning for Self-Driving Cars
Jiman Kim,Chanjong Park +1 more
TL;DR: A sequential end-to-end transfer learning method to estimate left and right ego lanes directly and separately without any postprocessing is proposed, which demonstrated improved accuracy and stability on input variations compared with a recent method based on deep learning.
Proceedings ArticleDOI
Multi-lane detection in urban driving environments using conditional random fields
TL;DR: This paper proposes a new multi-lane detection algorithm that works well in urban situations and shows that CRFs are very effective tools for multi- lane detection because they find an optimal association of multiple lane marks in complex and challenging urban road situations.
Proceedings ArticleDOI
Multi-lane detection based on accurate geometric lane estimation in highway scenarios
TL;DR: A robust multi-lane detection algorithm based on the accurate geometric estimation in highway scenarios with robustness on the illumination variance including daytime, rainy and sunset by using trough simulations and video sequences with a resolution of 752 × 480.
References
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Journal ArticleDOI
GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection
Massimo Bertozzi,Alberto Broggi +1 more
TL;DR: The generic obstacle and lane detection system (GOLD), a stereo vision-based hardware and software architecture to be used on moving vehicles to increment road safety, allows to detect both generic obstacles and the lane position in a structured environment at a rate of 10 Hz.
Journal ArticleDOI
Springrobot: a prototype autonomous vehicle and its algorithms for lane detection
Qing Li,Nanning Zheng,Hong Cheng +2 more
TL;DR: Experimental results in different road scene and a comparison with other methods have proven the validity of the proposed method, and the architecture and strategy for the system are briefly described.
Journal ArticleDOI
A machine vision system for lane-departure detection
TL;DR: The proposed system enhances the adaptability to cope with the random and dynamic environment of a road scene and leads to a reliable lane-departure warning system.
Patent
Monocular computer vision aided road vehicle driving for safety
TL;DR: In this paper, a monocular computer vision technique is used to aid road vehicle driving for safety, where a camera is installed in a vehicle facing to the road in front of the vehicle to capture a sequence of road/scene images for analyzing the driving situation.
Journal ArticleDOI
A model-driven approach for real-time road recognition
TL;DR: A method designed to detect and track road edges starting from images provided by an on-board monocular monochromic camera is described, which shows the robustness and precision of the method.