Vision-Based Lane Detection for Autonomous Artificial Intelligent Vehicles

Khalifa, Othman O.; Hashim, Aisha-Hassan A.; Assidiq, Abdulhakam A. M.

doi:10.1109/icsc.2009.113

Cited by 31 publications

(13 citation statements)

References 3 publications

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“…Other researchers [9][10][11] pointed out the implementation based on the user's outlook for library experts in Asia and that several libraries highly adopt its implementation. Other formats embedded in Koha are the new general library, which carries tremendous characteristics that enhance Koha's functionality [12,13,33]. Other researchers also perform analysis of an OSS such as Koha and New general library to inform librarians on the deliberations they ought to make in selecting a better OSS [34,35].…”

Section: Koha and Coralmentioning

confidence: 99%

KohaILS:AnEfficientOpenSourceApplicationof Integrated Library System

et.al¹

2021

TURCOMAT

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Most public and private libraries are inclined to adopt using Koha ILS around the globe. However, several Arab schools could not implement the Koha ILS application to automate their school libraries for ease of use. Deploying technology in managing libraries can solve several identified issues in public and private schools. This provides efficiency, ease and improves the performance of library services. Therefore, this paper is based on qualitative research that implements an efficient open-source application known as Koha ILS in two Arab schools, namely Baseerah International School (BIS) and International Modern Arab School (IMAS), Kuala Lumpur, Malaysia. In our analysis, we consider analyzing the proposed Koha ILS by providing backend accessibility so as library consumers can make a further enhancement to upgrade the application. The proposed Koha presents several positive impacts such as an efficient cataloging system, remote management of library consumer records such as books or room reservations and customizable searching interface for efficient usage. The application also presents multiple operating system support for a user’s flexibility. In our results, an analysis was made by comparing the two schools based on gender, position/ranks available in the school library, and IT gadgets. Toward this end, some limitations were noted and recommended as a future research direction.

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Section: Koha and Coralmentioning

confidence: 99%

KohaILS:AnEfficientOpenSourceApplicationof Integrated Library System

et.al¹

2021

TURCOMAT

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“…However, the result is affected easily by the varying outdoor environment, due to frequent contamination by other features such as shadows and road markings, as in Fig. 1, during the edge-detection process, which is discussed in references such as [21]. Some studies such as [22] proposed a lane-detection and tracking algorithm using a statistical model of lane color and edge-orientation data.…”

Section: Introductionmentioning

confidence: 96%

“…Conventional lane-detection algorithms, such as [20] and [21], utilize image processing based on simple edge extraction. However, the result is affected easily by the varying outdoor environment, due to frequent contamination by other features such as shadows and road markings, as in Fig.…”

Section: Introductionmentioning

confidence: 99%

A robust lane recognition technique for vision-based navigation with a multiple clue-based filtration algorithm

Suh

Kang

2011

Int. J. Control Autom. Syst.

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This paper proposes a novel multiple clue-based filtration algorithm (MCFA), which is developed to detect lane markings on roads using camera vision images for autonomous mobile robot navigation. The main goal of the algorithm is the robust estimation of the relative position and angle of the lane in the image by using multiple clues based on different characteristics of the lane. In particular, robustness against environmental changes is enhanced greatly since a dynamic model of the lane, besides static features of the lane such as color, intensity, etc., is incorporated for reliable estimation. The efficiency of the algorithm is verified through mobile robot experiments under various extreme illumination conditions in outdoor environments. The increased robustness performance enables reliable closed-loop control of a mobile robot that operates in a variety of navigation-related missions.

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“…Straight-line models work well on the straight road without navigational text and arrows, but the detection rate will deteriorate if they are used on curved road. Deformable lane models work well on curved roads, forms such as the piece-wise linear [14], clothoid [15] and hyperbola [16]. Though applicable to lanes with more complicated shapes, deformable models are susceptible to noise and require longer processing times.…”

Section: System Configuration Of Ldrmentioning

confidence: 99%

Extended-Search, Bézier Curve-Based Lane Detection and Reconstruction System for an Intelligent Vehicle

Huang

Gao

et al. 2015

International Journal of Advanced Robotic Systems

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To improve the real-time performance and detection rate of a Lane Detection and Reconstruction (LDR) system, an extended-search-based lane detection method and a Bézier curve-based lane reconstruction algorithm are proposed in this paper. The extended-search-based lane detection method is designed to search boundary blocks from the initial position, in an upwards direction and along the lane, with small search areas including continuous search, discontinuous search and bending search in order to detect different lane boundaries. The Bézier curve-based lane reconstruction algorithm is employed to describe a wide range of lane boundary forms with comparatively simple expressions. In addition, two Bézier curves are adopted to reconstruct the lanes' outer boundaries with large curvature variation. The lane detection and reconstruction algorithm -including initial-blocks' determining, extended search, binarization processing and lane boundaries' fitting in different scenarios -is verified in road tests. The results show that this algorithm is robust against different shadows and illumination variations; the average processing time per frame is 13 ms. Significantly, it presents an 88.6% high-detection rate on curved lanes with large or variable curvatures, where the accident rate is higher than that of straight lanes.

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Vision-Based Lane Detection for Autonomous Artificial Intelligent Vehicles

Cited by 31 publications

References 3 publications

KohaILS:AnEfficientOpenSourceApplicationof Integrated Library System

KohaILS:AnEfficientOpenSourceApplicationof Integrated Library System

A robust lane recognition technique for vision-based navigation with a multiple clue-based filtration algorithm

Extended-Search, Bézier Curve-Based Lane Detection and Reconstruction System for an Intelligent Vehicle

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