Design and Development of In-Vehicle Lane Departure Warning System using Standard Global Positioning System Receiver

2019 ◽  
Vol 2673 (8) ◽  
pp. 648-656 ◽  
Author(s):  
Muhammad Faizan ◽  
Shah Hussain ◽  
M. I. Hayee
Keyword(s):  
Image Processing ◽  
Global Positioning System ◽  
Warning System ◽  
Lane Detection ◽  
Positioning System ◽  
Gps Receiver ◽  
Lane Departure Warning ◽  
Significant Potential ◽  
Lane Departure ◽  
Global Positioning

A lane departure warning system is a critical element among advanced driver-assistance systems functions, which has significant potential to reduce crashes. Generally, lane departure warning systems use image processing or optical scanning techniques to detect a lane departure. These systems have some limitations, however, such as harsh weather or irregular lane markings having a negative influence on their performance. Integrating global positioning system (GPS) and digital maps of lane-level resolution with an image processing based lane detection system can improve its efficiency but make the overall system more complex and expensive. In this paper, a lane detection method is proposed which uses a standard GPS receiver without any lane-level resolution maps. The proposed algorithm determines the lateral shift of a vehicle by comparing the vehicle’s trajectory acquired by standard GPS receiver to the reference road direction. The reference road direction is extracted from a standard digital mapping database commonly available in any navigational device containing maps with only road-level information. Extensive field tests were performed to evaluate the efficiency of the proposed system. The field test results show that the proposed system can detect a true lane departure with an accuracy of almost 100%. Although no true lane departure was left undetected, occasional false lane departures were detected when the vehicle did not actually depart its lane. Furthermore, a modification in the proposed algorithm was also tested which has significant potential to reduce the frequency of false alarms.

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.

scholarly journals Column water vapor determination in night period with a lunar photometer prototype

2013 ◽  
Vol 6 (1) ◽  
pp. 767-793
Author(s):  
A. Barreto ◽  
E. Cuevas ◽  
B. Damiri ◽  
P. M. Romero ◽  
F. Almansa
Keyword(s):  
Water Vapor ◽  
Comparative Study ◽  
Global Positioning System ◽  
High Mountain ◽  
Positioning System ◽  
Gps Receiver ◽  
Preliminary Results ◽  
Global Positioning ◽  
Lc Filter ◽  
Night Period

Abstract. In this paper we present the preliminary results of atmospheric column integrated water vapor (PWV) obtained with a new Lunar Cimel photometer (LC) at the high mountain Izaña Observatory in the period July–August, 2011. We have compared nocturnal PWV from LC with PWV from a Global Positioning System (GPS) receiver and nighttime radiosondes (RS92). LC data have been calibrated using the Lunar Langley Method (LLM). We complemented this comparative study using quasi-simultaneous daytime PWV from Cimel AERONET (CA), GPS and RS92. Comparison of daytime PWV from CA shows differences against GPS and RS92 up to 0.18 cm. Two different filters, with and approximate bandwidth of 10 nm and central wavelengths at 938 nm (Filter#1) and 937 nm (Filter#2), were mounted into the LC. Filter#1 is currently used in operational AERONET sunphotometers. PWV obtained with LC-Filter#1 showed an overestimation above 0.18 and 0.25 cm compared to GPS and RS92, respectively, meanwhile Filter#2, with a reduced out-of-band radiation, showed very low differences compared with the same references (≤0.03 cm). These results demonstrate the ability of the new lunar photometer to obtain accurate and continuous PWV measurements at night in addition to the notably influence of the filter's transmissivity response on PWV determination at nighttime. The use of enhanced bandpass filters in lunar photometry, which is affected by more important inaccuracies than sun-photometry, is necessary to infer PWV with similar precision than AERONET.

Determination of global positioning system (GPS) receiver clock errors: impact on positioning accuracy

2009 ◽  
Vol 20 (7) ◽  
pp. 075105 ◽  
Author(s):  
Ta-Kang Yeh ◽  
Cheinway Hwang ◽  
Guochang Xu ◽  
Chuan-Sheng Wang ◽  
Chien-Chih Lee
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
Gps Receiver ◽  
Positioning Accuracy ◽  
Global Positioning ◽  
Receiver Clock

Example of a mixed-signal Global Positioning System (GPS) receiver using MCM-L packaging

1995 ◽  
Vol 18 (1) ◽  
pp. 13-17 ◽  
Author(s):  
P.J. Zabinski ◽  
B.K. Gilbert ◽  
P.J. Zucarelli ◽  
D.V. Weninger ◽  
T.W. Keller
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
Gps Receiver ◽  
Mixed Signal ◽  
Global Positioning

Real-time illumination invariant lane detection for lane departure warning system

2015 ◽  
Vol 42 (4) ◽  
pp. 1816-1824 ◽  
Author(s):  
Jongin Son ◽  
Hunjae Yoo ◽  
Sanghoon Kim ◽  
Kwanghoon Sohn
Keyword(s):  
Real Time ◽  
Warning System ◽  
Lane Detection ◽  
Lane Departure Warning ◽  
Illumination Invariant ◽  
Lane Departure

scholarly journals Quantification of the Accuracy of Low Priced GPS Receivers for Crash Location

2010 ◽  
Author(s):  
Thobias Sando ◽  
Renatus Mussa ◽  
John Sobanjo ◽  
Lisa Spainhour
Keyword(s):  
Global Positioning System ◽  
Time Of Day ◽  
Gps Data ◽  
Positioning System ◽  
Gps Receiver ◽  
Accuracy Improvement ◽  
Gps Receivers ◽  
Location Data ◽  
Global Positioning ◽  
Potential Tool

Global positioning system (GPS) has been identified as a potential tool for capturing crash location data. This study quantifies factors that could affect the accuracy of GPS receivers. The results showed that GPS receiver orientation, site obstructions, and weather have significant effects on the accuracy of GPS receivers. Time of day and number of satellites were not found to significantly affect the accuracy of GPS receivers. HDOP values of 1.2 or less were found to be adequate for crash location purposes. An accuracy improvement of 20.7% was realized by filtering GPS data based on HDOP values.

scholarly journals On Constant Metric Dimension of Some Generalized Convex Polytopes

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Xuewu Zuo ◽  
Abid Ali ◽  
Gohar Ali ◽  
Muhammad Kamran Siddiqui ◽  
Muhammad Tariq Rahim ◽  
...  
Keyword(s):  
Image Processing ◽  
Euclidean Space ◽  
Global Positioning System ◽  
Metric Space ◽  
Network Theory ◽  
Convex Polytopes ◽  
Metric Dimension ◽  
Positioning System ◽  
The Family ◽  
Global Positioning

Metric dimension is the extraction of the affine dimension (obtained from Euclidean space E d ) to the arbitrary metric space. A family ℱ = G n of connected graphs with n ≥ 3 is a family of constant metric dimension if dim G = k (some constant) for all graphs in the family. Family ℱ has bounded metric dimension if dim G n ≤ M , for all graphs in ℱ . Metric dimension is used to locate the position in the Global Positioning System (GPS), optimization, network theory, and image processing. It is also used for the location of hospitals and other places in big cities to trace these places. In this paper, we analyzed the features and metric dimension of generalized convex polytopes and showed that this family belongs to the family of bounded metric dimension.

scholarly journals Spoofing Detection of Civilian UAVs Using Visual Odometry

2019 ◽  
Vol 9 (1) ◽  
pp. 6 ◽  
Author(s):  
Masood Varshosaz ◽  
Alireza Afary ◽  
Barat Mojaradi ◽  
Mohammad Saadatseresht ◽  
Ebadat Ghanbari Parmehr
Keyword(s):  
Global Positioning System ◽  
Detection Method ◽  
Visual Odometry ◽  
Positioning System ◽  
Moving Window ◽  
Gps Receiver ◽  
Flight Direction ◽  
Global Positioning ◽  
Spoofing Detection ◽  
Euclidian Distances

Spoofing of Unmanned Aerial Vehicles (UAV) is generally carried out through spoofing of the UAV’s Global Positioning System (GPS) receiver. This paper presents a vision-based UAV spoofing detection method that utilizes Visual Odometry (VO). This method is independent of the other complementary sensors and any knowledge or archived map and datasets. The proposed method is based on the comparison of relative sub-trajectory of the UAV from VO, with its absolute replica from GPS within a moving window along the flight path. The comparison is done using three dissimilarity measures including (1) Sum of Euclidian Distances between Corresponding Points (SEDCP), (2) angle distance and (3) taxicab distance between the Histogram of Oriented Displacements (HOD) of these sub-trajectories. This method can determine the time and location of UAV spoofing and bounds the drift error of VO. It can be used without any restriction in the usage environment and can be implemented in real-time applications. This method is evaluated on four UAV spoofing scenarios. The results indicate that this method is effective in the detection of UAV spoofing due to the Sophisticated Receiver-Based (SRB) GPS spoofing. This method can detect UAV spoofing in the long-range UAV flights when the changes in UAV flight direction is larger than 3° and in the incremental UAV spoofing with the redirection rate of 1°. Additionally, using SEDCP, the spoofing of the UAV, when there is no redirection and only the velocity of the UAV is changed, can be detected. The results show that SEDCP is more effective in the detection of UAV spoofing and fake GPS positions.

Sign in / Sign up

Export Citation Format

Share Document