A Comprehensive Survey on Free Parking Space, Road Signs and Lane Detection

Author(s):  
Rubal Sharma ◽  
Shubhanshu Singh Jagwan ◽  
R. Vidhya
Author(s):  
Omkar Panchal

As a result of road traffic crashes, approximately 1.35 million people die each year, and between 40 to 70 million are injured drastically. Most of these accidents occurs because of to lack of response time to instant traffic events. To develop such recognition and detection system in autonomous cars, it is important to monitor and guide driver through real time traffic events. This involves Road sign recognition and road lane detection. In order to make the driving process safer and efficient, a plan is made to design a driver-assistance system with road sign recognition and lane detection features. In this system we have focused on two important aspects, Road sign recognition and lane detection. The process of road sign recognition in a video can be broken into two main areas for research; detection and classification using convolutional neural networks. Road signs will be detected by analysing colour information, which can be red and blue, contained on the images whereas, in classification phase the signs are classified according to their shapes and characteristics. Along with road sign recognition we also focused on Road Lane detection which is one significant method in the visualization-based driver support structure and capable to be used for vehicle guiding and monitoring, road congestion avoidance, crash avoidance.


The purposes of this study were to examine the readiness and accordance of potential, the demand of logistics potential and agro-tourism supply chain in Lan Saka district, Nakhon Si Thammarat province. Questionnaires were distributed to 400 tourists and an interview was conducted with five interviewees from the government/private agencies and entrepreneurs. Analysis of the results revealed that the highest satisfaction was found in three aspects including the community way of life(  =4.29, S.D. = 0.55),the personnel (  =4 .50, S.D. =0.34), and the tourist attractions (  =4 .45, S.D. =0.54), respectively. Respondents highly agreed on two aspects: the physical flow(  =3 .82, S.D. = 0.62 ( and the information flow (  =3 .94, S.D. = 0.56), respectively. In tourists’ points of view, there should be an improvement on the physical flow and the information flow by emphasizing the location access, providing adequate parking space and travel facilities such as public transport, buses for servicing tourists, signs or symbols, road signs, and viewpoint signs/danger point signs should be provided for convenience in tourist destination access. In view of government/private agencies and entrepreneurs, there should be an emphasis on the physical flow and the tourist destination service, especially transportation services in tourist areas such as enough parking space and network construction linking to nearby location for increasing the opportunities in income distribution and for building sustainable community careers.


Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 276 ◽  
Author(s):  
Jiyoung Jung ◽  
Sung-Ho Bae

The generation of digital maps with lane-level resolution is rapidly becoming a necessity, as semi- or fully-autonomous driving vehicles are now commercially available. In this paper, we present a practical real-time working prototype for road lane detection using LiDAR data, which can be further extended to automatic lane-level map generation. Conventional lane detection methods are limited to simple road conditions and are not suitable for complex urban roads with various road signs on the ground. Given a 3D point cloud scanned by a 3D LiDAR sensor, we categorized the points of the drivable region and distinguished the points of the road signs on the ground. Then, we developed an expectation-maximization method to detect parallel lines and update the 3D line parameters in real time, as the probe vehicle equipped with the LiDAR sensor moved forward. The detected and recorded line parameters were integrated to build a lane-level digital map with the help of a GPS/INS sensor. The proposed system was tested to generate accurate lane-level maps of two complex urban routes. The experimental results showed that the proposed system was fast and practical in terms of effectively detecting road lines and generating lane-level maps.


2012 ◽  
Vol 424-425 ◽  
pp. 713-717
Author(s):  
Ming Heng Zhang ◽  
Yi Bing Zhao ◽  
Lie Guo

The road traffic signs recognition in open environment is an important research in the field of safe auxiliary driving, vehicle autonomous navigation and so on. Based on the characteristic of road signs, one-dimensional entropy division was carried on to segment the AOI image obtained by lane detection, and then the road signs were recognized by SVM with improved Hu moment features. Experiments show that the proposed method for road traffic signs recognition in open environment has good reliability and robustness


Author(s):  
Shanna J. Ward ◽  
Michael S. Wogalter ◽  
Andrew W. Mercer
Keyword(s):  

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Peiyu Jiang ◽  
Xu Wang ◽  
Zhangyu Han
Keyword(s):  

Author(s):  
Abeer AlNajjar

This book aims to shed light on core questions relating to language and society, language and conflict, and language and politics, in relation to a changing Middle East. While the book focuses on Arabic, it goes way beyond a purely linguistic analysis by bringing to the fore a set of pressing questions about the relationship between Arabic and society. For example, it touches on the development of language policy via an examination of administrative mandates (top-down) in contrast to grassroots initiatives (bottom-up); the deeper layers of the linguistic landscape that highlight the connection between politics, conflict, identity, road signs and street names; Arabic studies and Arabic identity and the myriad ways countries deal simultaneously with globalisation while also seeking to strengthen local and national identity, and more.


2016 ◽  
Vol 14 (3) ◽  
pp. 253-274 ◽  
Author(s):  
C. M. Lorkowski

I argue that acknowledging Hume as a doxastic naturalist about belief in a deity allows an elegant, holistic reading of his Dialogues. It supports a reading in which Hume's spokesperson is Philo throughout, and enlightens many of the interpretive difficulties of the work. In arguing this, I perform a comprehensive survey of evidence for and against Philo as Hume's voice, bringing new evidence to bear against the interpretation of Hume as Cleanthes and against the amalgamation view while correcting several standard mistakes. I ultimately isolate the interpretation of Philo's Reversal at the end of the Dialogues as of paramount importance, and show how my naturalistic interpretation makes this, and other notoriously difficult passages, unproblematic.


2010 ◽  
Vol 4 (1-2) ◽  
pp. 75-96
Author(s):  
Mohammed Rustom

This article offers the first comprehensive survey of scholarly literature devoted to the Qur??nic works of the famous Muslim philosopher, Mull? ?adr? (d. 1050/1640). While taking account of the merits and shortcomings of studies on ?adr?’s Qur??nic writings, we will also be concerned with highlighting some of the methodological problems raised by the diverse range of approaches adopted in these studies. Chief amongst them is the tendency to pit ?adr? the philosopher against ?adr? the scriptural exegete. Such a dichotomy is not entirely helpful, both with respect to painting a clearer picture of ?adr?’s religious worldview, and to addressing broader questions pertaining to the intimate relationship shared between the “act” of philosophy and the “act” of reading scripture.


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