2020
DOI: 10.3390/s20092457
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Reliable Road Scene Interpretation Based on ITOM with the Integrated Fusion of Vehicle and Lane Tracker in Dense Traffic Situation

Abstract: Lane detection and tracking in a complex road environment is one of the most important research areas in highly automated driving systems. Studies on lane detection cover a variety of difficulties, such as shadowy situations, dimmed lane painting, and obstacles that prohibit lane feature detection. There are several hard cases in which lane candidate features are not easily extracted from image frames captured by a driving vehicle. We have carefully selected typical scenarios in which the extraction of lane ca… Show more

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Cited by 5 publications
(5 citation statements)
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References 28 publications
(76 reference statements)
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“…Visualization and Output [56]: The segmented image and associated data, including region properties and labels, are often visualized and or used as input for subsequent image analysis tasks, such as object recognition or scene interpretation [57,58]. Table 3 is shown below.…”
Section: Procedures Of Image Segmentationmentioning
confidence: 99%
“…Visualization and Output [56]: The segmented image and associated data, including region properties and labels, are often visualized and or used as input for subsequent image analysis tasks, such as object recognition or scene interpretation [57,58]. Table 3 is shown below.…”
Section: Procedures Of Image Segmentationmentioning
confidence: 99%
“… Shadow detection (1): [ 19 ]. Lane detection (2): [ 20 , 21 ]. Traffic lights detection (2): [ 22 , 23 ].…”
Section: Special Issue On Intelligent Vehiclesmentioning
confidence: 99%
“…Studies on lane detection cover a variety of difficulties, such as shadowy situations, dimmed lane painting, and obstacles that prohibit lane feature detection. Jeong et al have carefully selected typical scenarios in which the extraction of lane candidate features can be easily corrupted by road vehicles and road markers that lead to degradation in the road scene understanding [ 21 ]. They introduced a novel framework combining a lane tracker method integrated with a camera and a radar forward vehicle tracker system, which is especially useful in dense traffic situations.…”
Section: Object Detection and Scene Understandingmentioning
confidence: 99%
“…Monitoring vehicle emission using MQ-7 gas sensor and GPS module can create awareness in the community [18]- [19]. Yang [21]. Other rseraches designed a path tracker for self-driving cars (SDC) using a nonlinear model-predictive-control (NMPC) approach [21]- [24].…”
Section: Introductionmentioning
confidence: 99%
“…Yang [21]. Other rseraches designed a path tracker for self-driving cars (SDC) using a nonlinear model-predictive-control (NMPC) approach [21]- [24]. Ramli et al, designed an open source LoRA based vehicle tracker using GIS, Arduino and GPS to monitor the speed and location of boats in waters [25].…”
Section: Introductionmentioning
confidence: 99%