scholarly journals Research of algorithms for road marking recognition in the lane departure warning system

2021 ◽  
Vol 2061 (1) ◽  
pp. 012130
Author(s):  
A V Tumasov ◽  
D Yu Tyugin ◽  
D M Porubov ◽  
V I Filatov ◽  
A A Gladyshev
Keyword(s):  
Comparative Analysis ◽  
Analysis Of Algorithms ◽  
Warning System ◽  
State Level ◽  
The State ◽  
Lane Departure Warning ◽  
Commercial Vehicles ◽  
Lane Departure ◽  
The World ◽  
Road Marking

Abstract The way to improve the safety of vehicles using ADAS systems has successfully proved itself in practice. The use of ADAS systems in vehicles is mandatory in many countries of the world and is accepted at the state level. One of the most widely used ADAS systems is the Lane Departure Warning System (LDWS). The paper describes the principles of operation of existing LDWS in the segment of light commercial vehicles (LCV). The algorithm and structure of the developed LDWS for the GAZelle Next vehicle are presented. The description and analysis of algorithms for recognition of road markings are given. The results and comparative analysis of virtual and road tests of the LDWS are presented. Conclusions are given on the operation of the system and the algorithm for recognizing road markings.

scholarly journals Using ADAS to Future-Proof Roads—Comparison of Fog Line Detection from an In-Vehicle Camera and Mobile Retroreflectometer

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1737
Author(s):  
Ane Dalsnes Storsæter ◽  
Kelly Pitera ◽  
Edward McCormack
Keyword(s):  
Warning System ◽  
Management Systems ◽  
Warning Systems ◽  
Lane Departure Warning ◽  
Automated Driving ◽  
Pavement Markings ◽  
Lighting Conditions ◽  
Lane Marking ◽  
Lane Departure ◽  
Pavement Marking

Pavement markings are used to convey positioning information to both humans and automated driving systems. As automated driving is increasingly being adopted to support safety, it is important to understand how successfully sensor systems can interpret these markings. In this effort, an in-vehicle lane departure warning system was compared to data collected simultaneously from an externally mounted mobile retroreflectometer. The test, performed over 200 km of driving on three different routes in variable lighting conditions and road classes found that, depending on conditions, the retroreflectometer could predict whether the car’s lane departure systems would detect markings in 92% to 98% of cases. The test demonstrated that automated driving systems can be used to monitor the state of pavement markings and can provide input on how to design and maintain road infrastructure to support automated driving features. Since data about the condition of lane marking from multiple lane departure warning systems (crowd-sourced data) can provide input into the pavement marking management systems operated by many road owners, these findings also indicate that these automated driving sensors have an important role in enhancing the maintenance of pavement markings.

scholarly journals A Portable Vision-Based Real-Time Lane Departure Warning System: Day and Night

2009 ◽  
Vol 58 (4) ◽  
pp. 2089-2094 ◽  
Author(s):  
Pei-Yung Hsiao ◽  
Chun-Wei Yeh ◽  
Shih-Shinh Huang ◽  
Li-Chen Fu
Keyword(s):  
Real Time ◽  
Warning System ◽  
Lane Departure Warning ◽  
Lane Departure

scholarly journals Hiliatic theories in the context of Protestant eschatology (exegetical-comparative analysis

2006 ◽  
pp. 70-85
Author(s):  
Vitaliy I. Docush
Keyword(s):  
Comparative Analysis ◽  
Drug Addiction ◽  
Kingdom Of God ◽  
The State ◽  
Existing Problems ◽  
Global Character ◽  
The Earth ◽  
Ideal System ◽  
The World ◽  
Qualitative Characteristics

At the intersection of the second and third millennia in connection with the natural (destruction of the state of the earth, water and atmosphere) and social (alcoholism, drug addiction, immoralism, extremism, wars, etc.) cataclysms that are taking on a global character, the eschatological prophecies about the end of the world have intensified the coming of the millennial Kingdom of God. In contrast to the existing problems, the Kingdom of God is offered as an ideal system of government with such qualitative characteristics as equality, justice, material and spiritual completeness.

scholarly journals DEVELOPMENT OF ENVIRONMENTAL MARKETING IN THE CONTEXT SUSTAINABLE DEVELOPMENT OF THE REPUBLIC OF BELARUS

2021 ◽  
pp. 103-111
Author(s):  
S. Bunko
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
State Level ◽  
The State ◽  
World Community ◽  
Environmental Marketing ◽  
Responsible Consumption ◽  
The World ◽  
Development Goals ◽  
The Republic

The article is devoted to the analysis of the inclusion of the Republic of Belarus in the processes of achieving the goals of sustainable development adopted by the world community. Environmental marketing is seen as a tool to achieve sustainable development goals in the area of responsible consumption. The essence of environmental marketing at the level of organizations and at the state level is determined. Directions for the development of environmental marketing in the Republic of Belarus have been identified in order to reduce the volume of non-decomposable waste and waste that cannot be recycled, including due to improper collection.

Development and Implementation of Lane Departure Warning System on ADAS Alpha Board

2021 ◽  
Author(s):  
Srdan Dragas ◽  
Ratko Grbic ◽  
Matteo Brisinello ◽  
Krsto Lazic
Keyword(s):  
Warning System ◽  
Lane Departure Warning ◽  
Lane Departure

A Novel Real-Time Lighting-Invariant Lane Departure Warning System

2018 ◽  
pp. 231-252
Author(s):  
Yassin Kortli ◽  
Mehrez Marzougui ◽  
Mohamed Atri
Keyword(s):  
Real Time ◽  
Traffic Accidents ◽  
Essential Element ◽  
Warning System ◽  
Lane Detection ◽  
Accuracy Evaluation ◽  
Lane Departure Warning ◽  
Lighting Conditions ◽  
Lane Departure ◽  
Driving Assistance

In recent years, in order to minimize traffic accidents, developing driving assistance systems for security has attracted much attention. Lane detection is an essential element of avoiding accidents and enhancing driving security. In this chapter, the authors implement a novel real-time lighting-invariant lane departure warning system. The proposed methodology works well in different lighting conditions, such as in poor conditions. The experimental results and accuracy evaluation indicates the efficiency of the system proposed for lane detection. The correct detection rate averages 97% and exceeds 95.6% in poor conditions. Furthermore, the entire process has only 29 ms per frame.

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