FAST LANE DETECTION USING DIRECTION KERNEL FUNCTION

2012 ◽  
Vol 10 (02) ◽  
pp. 1250017 ◽  
Author(s):  
YIMING NIE ◽  
BIN DAI ◽  
XIANGJING AN ◽  
ZHENPING SUN ◽  
TAO WU ◽  
...  
Keyword(s):  
Kernel Function ◽  
Lane Detection ◽  
Vanishing Point ◽  
Robust Detection ◽  
The Road ◽  
Road Lighting ◽  
Lane Tracking ◽  
Lane Marking ◽  
On The Road ◽  
Fast Lane

The lane information is essential to the highway intelligent vehicle applications. The direct description of the lanes is lane markings. Many vision methods have been proposed for lane markings detection. But in practice there are some problems to be solved by previous lane tracking systems such as shadows on the road, lighting changes, characters on the road and discontinuous changes in road types. Direction kernel function is proposed for robust detection of the lanes. This method focuses on selecting points on the markings edge by classification. During the classifying, the vanishing point is selected and the parts of the lane marking could form the lanes. The algorithm presented in this paper is proved to be both robust and fast by a large amount of experiments in variable occasions, besides, the algorithm can extract the lanes even in some parts of lane markings missing occasions.

scholarly journals A NEW APPROACH TO HIGHWAY LANE DETECTION BY USING HOUGH TRANSFORM TECHNIQUE

2017 ◽  
Author(s):  
Nur Shazwani Aminuddin ◽  
Masrullizam Mat Ibrahim ◽  
Nursabillilah Mohd Ali ◽  
Syafeeza Ahmad Radzi ◽  
Wira Hidayat Mohd Saad ◽  
...  
Keyword(s):  
Hough Transform ◽  
Average Rate ◽  
Lane Detection ◽  
Frame Rate ◽  
Video Frame ◽  
Night Time ◽  
The Road ◽  
Main Technique ◽  
On The Road ◽  
Width Measurements

This paper presents the development of a road lane detection algorithm using image processing techniques. This algorithm is developed based on dynamic videos, which are recorded using on-board cameras installed in vehicles for Malaysian highway conditions. The recorded videos are dynamic scenes of the background and the foreground, in which the detection of the objects, presence on the road area such as vehicles and road signs are more challenging caused by interference from background elements such as buildings, trees, road dividers and other related elements or objects. Thus, this algorithm aims to detect the road lanes for three significant parameter operations; vanishing point detection, road width measurements, and Region of Interest (ROI) of the road area, for detection purposes. The techniques used in the algorithm are image enhancement and edges extraction by Sobel filter, and the main technique for lane detection is a Hough Transform. The performance of the algorithm is tested and validated by using three videos of highway scenes in Malaysia with normal weather conditions, raining and a night-time scene, and an additional scene of a sunny rural road area. The video frame rate is 30fps with dimensions of 720p (1280x720) HD pixels. In the final achievement analysis, the test result shows a true positive rate, a TP lane detection  average rate of 0.925 and the capability to be used in the final application implementation.  

Inter-vehicle distance estimation considering camera attitude angles based on monocular vision

2020 ◽  
pp. 095440702094139
Author(s):  
Jun Liu ◽  
Rui Zhang ◽  
Shihao Hou
Keyword(s):  
Distance Estimation ◽  
Estimation Methods ◽  
Vanishing Point ◽  
Estimation Model ◽  
The Road ◽  
Attitude Angle ◽  
Driving Assistance ◽  
Lane Line ◽  
Texture Orientation ◽  
On The Road

Perceiving the distance between vehicles is a crucial issue for advanced driving assistance systems. However, most vision-based distance estimation methods do not consider the influence of the change in camera attitude angles during driving or only use the vanishing point detected by lane lines to correct the pitch angle. This paper proposed an improved pinhole distance estimation model based on the road vanishing point without the lane line information. First, the road vanishing point is detected based on the dominant texture orientation, and the yaw and pitch angles of the camera are estimated. Then, a distance estimation model considering attitude angle compensation is established. Finally, the experimental results show that the proposed method can effectively correct the influence of the camera attitude angle on the distance estimation results.

scholarly journals Assessment of Colorimetric Parameters for HPS Lamp with Electromagnetic Control Gear and Electronic Ballast

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2909
Author(s):  
Roman Sikora ◽  
Przemysław Markiewicz
Keyword(s):  
New Technologies ◽  
Technical Condition ◽  
Road Accident ◽  
Electronic Ballast ◽  
The Road ◽  
Advantages And Disadvantages ◽  
Road Lighting ◽  
Road Users ◽  
Electromagnetic Control ◽  
On The Road

Road lighting is an important element of road infrastructure influencing on the road safety. It helps road users to identify potential hazards on the road and reduces the risk of a road accident. Improving the energy efficacy of road lighting installations requires using new technologies. Currently, high-pressure sodium (HPS) lamps are still most commonly used in road lighting. Many of the luminaires with HPS lamps are still in good technical condition and there is no economic justification for replacing them (except improving energy efficacy). One of the methods of improving their energy efficacy is to replace the electromagnetic control gear (ECG) with an electronic ballast (EB). This replacement may affect the colorimetric parameters of the HPS lamps. Two methods to the estimation change of colorimetric parameters after the replacement of ECG to EB were used. The first is CIE TN 001:2014 and the second is ANSI/IES TM-30-15. The article also presents the advantages and disadvantages of these methods in relation to the evaluation of changes in colorimetric parameters of HPS lamps after the replacement of the ECG with an EB. After the replacement of ECG to EB, the smallest reduction of Ra (colour rendering index) occurred for the 150 W lamp by 31.30% and the highest reduction for the 70 W lamp by 65.52%. Considering the changes of the fidelity indicator Rf and gamut indicator Rg, their changes are significantly smaller than for Ra. The smallest change of Rf value was observed for a 150 W lamp (6.00%) and the largest for a 70 W lamp by 25.00%. In case of Rg, similar changes were observed—for 150 W lamp by 9.26% and for 70 W lamp by 21.88%. The ANSI/IES TM-30-15 method is more suitable for evaluating colorimetric parameters after replacing ECG with EB. Using only Ra to evaluate changes of HPS lamps colorimetric parameters after replacing the ballast type can lead to incorrect conclusions concerning changes of colorimetric parameters. Based on the ANSI/IES TM-30-15 method, it has been proposed to introduce the Δf,g indicator which determines the change of colorimetric parameters based on fidelity and gamut colour indicator.

scholarly journals Lane Detection and Lane Change Warning as Advanced Driver Assistance Systems using Computer Vision

2019 ◽  
Vol 9 (2) ◽  
pp. 5540-5543 ◽  
Keyword(s):  
Road Network ◽  
Cost Effective ◽  
Lane Detection ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
The Road ◽  
Growing Economy ◽  
On The Road ◽  
New Processing ◽  
Processing Techniques

Road ways are the life line of any economy, for a country like India where economy isgrowing rapidly it is putting its toll on every sector for meeting the needs of the growing economy. Good’s and personal transport are becoming vital with time and money aspects and the roads and vehicles on the roads are expected to perform optimally drastically increasing the speed on the road network and constantly increasing and modifying the infrastructure needed to meet the demands. As the speed of the vehicle increases the accident rate and the damage caused by the collision will also increase. Safety of the road network is not to be compromised and proper systems to ensure the safe passage of the vehicle and proper warning systems are to be implemented. This system should be viable in all the condition and should be cost-effective. In this paper we are implementing a vision based system to identify the lane and other vehicles from the video it captures from a properly calibrated camera mounted on the front side of the vehicle. The system is designed to automatically and continuously detect the lines exploiting the new processing techniques and warning the driver if any other is in the breaking distance of the vehicle or if the vehicle is moving out of the lane. Cost effectiveness of the system is a major aspect as many of the available systems use equipment which very good at performing their task but are not affordable. Effort is put in making the system cost effective and not compromising with the reaction time and accuracy..

Introduction To The New Energy Efficient Class for Road Lighting In Indian Context

2021 ◽  
pp. 135-145
Author(s):  
Suddhasatwa Chakraborty ◽  
Saswati Mazumdar
Keyword(s):  
Energy Efficient ◽  
Lighting Design ◽  
Density Parameter ◽  
Lighting System ◽  
New Classification ◽  
The Road ◽  
Road Lighting ◽  
New Energy ◽  
On The Road ◽  
Indian Scenario

The assessment of energy consumption in the field of road lighting is different from other lighting applications. In this paper, a newly developed parameter is introduced for the proper assessment of energy efficiency for lighting design of Indian road. The basis of the proposed normalized power density parameter and the effects of few governing factors on it have been also discussed in detail. Those factors are governing measured and calculated based on the road lighting in Indian scenario. A new classification for energy efficient road lighting in Indian road has been introduced. This new proposed classification will help to determine whether a road lighting system is energy efficient or not.

Real-time lane detection and tracking for autonomous vehicle applications

2019 ◽  
Vol 233 (9) ◽  
pp. 2301-2311 ◽  
Author(s):  
Xinyu Jiao ◽  
Diange Yang ◽  
Kun Jiang ◽  
Chunlei Yu ◽  
Tuopu Wen ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Real Time ◽  
Detection Method ◽  
Autonomous Vehicle ◽  
Lane Detection ◽  
Vanishing Point ◽  
Lane Tracking ◽  
Detection And Tracking ◽  
Vanishing Point Detection ◽  
Point Detection

This article proposes an improved lane detection and tracking method for autonomous vehicle applications. In real applications, when the pose and position of the camera are changed, parameters and thresholds in the algorithms need fine adjustment. In order to improve adaptability to different perspective conditions, a width-adaptive lane detection method is proposed. As a useful reference to reduce noises, vanishing point is widely applied in lane detection studies. However, vanishing point detection based on original image consumes many calculation resources. In order to improve the calculation efficiency for real-time applications, we proposed a simplified vanishing point detection method. In the feature extraction step, a scan-line method is applied to detect lane ridge features, the width threshold of which is set automatically based on lane tracking. With clustering, validating, and model fitting, lane candidates are obtained from the basic ridge features. A lane-voted vanishing point is obtained by the simplified grid-based method, then applied to filter out noises. Finally, a multi-lane tracking Kalman filter is applied, the confirmed lines of which also provide adaptive width threshold for ridge feature extraction. Real-road experimental results based on our intelligent vehicle testbed proved the validity and robustness of the proposed method.

scholarly journals The Drive towards Optimization of Road Lighting Energy Consumption Based on Mesopic Vision—A Suburban Street Case Study

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1175
Author(s):  
Irena Fryc ◽  
Dariusz Czyżewski ◽  
Jiajie Fan ◽  
Catalin D. Gălăţanu
Keyword(s):  
Energy Consumption ◽  
Spectral Composition ◽  
Luminance Level ◽  
Night Vision ◽  
Mesopic Vision ◽  
The Road ◽  
Road Lighting ◽  
Access Road ◽  
Lighting Energy ◽  
On The Road

This paper presents the research of optimization of road lighting energy consumption by utilizing the fact of human twilight and night vision (mesopic vision) dependency on luminance level and lamp’s light spectral composition. The research was conducted for a suburban street illuminated by smart LED road luminaires with a luminous flux control system with which different luminance levels can be achieved on the road. This road is an access road leading to a town located on the outskirts of Warsaw which is the capital of Poland and a large metropolitan area. Therefore, the traffic here is quite heavy on this road in the morning and in the evening and it is very light at other times of the day. In accordance with EN 13201 standard, lighting control can be applied to illuminate this road. This paper compares energy consumption for different lighting scenarios of the road in question. In the first scenario, the road luminance is compliant with M4, M5, and M6 lighting class requirements depending on the time of the day. In the second scenario, for each M lighting class, the values of luminance levels provided by EN 13201 standard have been reduced to the values resulting from their conversion to the corresponding mesopic luminance values. The conducted research has shown that a 15% saving per year in electricity consumption on the road is possible with such a conversion. Therefore, energy efficiency of a lighting installation can be improved by matching the lighting levels provided by the standard to the mesopic vision.

Fast Lane Detection Using Direction Kernel Function

2010 ◽  
Author(s):  
Yiming Nie ◽  
Xiangjing An ◽  
Zhenping Sun ◽  
Tao Wu ◽  
Hangen He
Keyword(s):  
Kernel Function ◽  
Lane Detection ◽  
Fast Lane

scholarly journals Perancangan Dan Penataan Penerangan Jalan Umum Dengan Aplikasi Dialux evo 8.2 Di Jalan Depok Cilodong

2020 ◽  
Vol 12 (2) ◽  
pp. 111-120
Author(s):  
JUARA MANGAPUL TAMBUNAN ◽  
Albert Gifson Hutajulu ◽  
Hendrianto Husada
Keyword(s):  
Road Construction ◽  
Road User ◽  
Long Distance ◽  
Street Lighting ◽  
The Road ◽  
Road Lighting ◽  
Material Procurement ◽  
On The Road ◽  
New Research ◽  
The Impact

The increase in population, urban development and road construction are the demands of many communities in obtaining public street lighting for road users by providing better services. Public street lighting has become a necessity for many people, which is very important for two-wheeled, four-wheeled, and many-wheeled drivers for safety and comfort in traffic, especially at night. Therefore, the authors conducted a new research design by arranging public street lighting in the area of ​​the Depok Cilodong highway, with the aim of providing the beauty of the road environment by the model of the arrangement and installation of poles, pole height and PJU lamp models to the road body. Its uniqueness is seen from the perspective of the side of social and environmental impacts that are generally not seen by the local government and the level of evenness of road lighting on road materials is still lacking, so that the impact on the road user community is better and more modern. The method used with the Dialux EVO 8.2 Program for short road lengths can choose street lights taken from the IES Lighting data on the 10W Eco Led, 10 VAC Milky Way, which is installed with a height of 8 meters with a distance between poles 15 meters with a large amount of procurement allows for high costs. For the long distance of the road, you can use the 20W Led Bimasakti Eco street light, 10 VAC, which is installed with a height of 8 meters and 20 meters between the poles. So by analyzing the selection criteria, it is capable of producing street lighting with lighting levels in accordance with SNI 7391-2008 and considering the quantity of material procurement as well as the tipping point which has an impact on financing for installation services.      

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