Relevant bibliographies by topics / Lane Detection and Warning System (LDWS)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Lane Detection and Warning System (LDWS)'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Lane Detection and Warning System (LDWS)"

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Jeong, Siwoo, Jonghyeon Ko, Sukki Lee, et al. "Optimizing Lane Departure Warning System towards AI-Centered Autonomous Vehicles." Sensors 24, no. 8 (2024): 2505. http://dx.doi.org/10.3390/s24082505.

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The operational efficacy of lane departure warning systems (LDWS) in autonomous vehicles is critically influenced by the retro-reflectivity of road markings, which varies with environmental wear and weather conditions. This study investigated how changes in road marking retro-reflectivity, due to factors such as weather and physical wear, impact the performance of LDWS. The study was conducted at the Yeoncheon SOC Demonstration Research Center, where various weather scenarios, including rainfall and transitions between day and night lighting, were simulated. We applied controlled wear to white
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Ge, Ping-shu, Lie Guo, Guo-kai Xu, Rong-hui Zhang, and Tao Zhang. "A Real-Time Lane Detection Algorithm Based on Intelligent CCD Parameters Regulation." Discrete Dynamics in Nature and Society 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/273164.

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Lane departure warning system (LDWS) has been regarded as an efficient method to lessen the damages of road traffic accident resulting from driver fatigue or inattention. Lane detection is one of the key techniques for LDWS. To overcome the contradiction between complexity of algorithm and the real-time requirement for vehicle onboard system, this paper introduces a new lane detection method based on intelligent CCD parameters regulation. In order to improve the real-time capability of the system, a CCD parameters regulating method is proposed which enhances the contrast between lane line and
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Anbalagan, Sudha, Ponnada Srividya, B. Thilaksurya, Sai Ganesh Senthivel, G. Suganeshwari, and Gunasekaran Raja. "Vision-Based Ingenious Lane Departure Warning System for Autonomous Vehicles." Sustainability 15, no. 4 (2023): 3535. http://dx.doi.org/10.3390/su15043535.

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Lane detection is necessary for developing intelligent Autonomous Vehicles (AVs). Using vision-based lane detection is more cost-effective, requiring less operational power. Images captured by the moving vehicle include varying brightness, blur, and occlusion caused due to diverse locations. We propose a Vision-based Ingenious Lane Departure Warning System (VILDS) for AV to address these challenges. The Generative Adversarial Networks (GAN) of the VILDS choose the most precise features to create images that are identical to the original but have better clarity. The system also uses Long Short-
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Andrei, Mihail-Alexandru, Costin-Anton Boiangiu, Nicolae Tarbă, and Mihai-Lucian Voncilă. "Robust Lane Detection and Tracking Algorithm for Steering Assist Systems." Machines 10, no. 1 (2021): 10. http://dx.doi.org/10.3390/machines10010010.

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Modern vehicles rely on a multitude of sensors and cameras to both understand the environment around them and assist the driver in different situations. Lane detection is an overall process as it can be used in safety systems such as the lane departure warning system (LDWS). Lane detection may be used in steering assist systems, especially useful at night in the absence of light sources. Although developing such a system can be done simply by using global positioning system (GPS) maps, it is dependent on an internet connection or GPS signal, elements that may be absent in some locations. Becau
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Suhas, N. Bhargav, and Katiyar Rajani. "Advanced Driver Security Application." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 1989–94. https://doi.org/10.35940/ijeat.D9050.049420.

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The introduction of modern and more advanced vehicles has stretched their performance boundaries dramatically in terms of pace and maneuverability. It has also significantly enhanced the likelihood of people losing control of their vehicle, contributing to accidents. Within the past, several strategies have been suggested which resolve this issue by restricting the car's travel to just one specific path. To various road situations, this is achieved by applying lane identification utilizing algorithms such as canny edge identification, Hough transformations, vanishing point estimates, princ
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Luo, Yiwei, Ping Li, Gang Shi, Zuowei Liang, Lei Chen, and Fengwei An. "Lane Departure Assessment via Enhanced Single Lane-Marking." Sensors 22, no. 5 (2022): 2024. http://dx.doi.org/10.3390/s22052024.

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Vision-based Lane departure warning system (LDWS) has been widely used in modern vehicles to improve drivability and safety. In this paper, a novel LDWS with precise positioning is proposed. Calibration strategy is first presented through a 3D camera imaging model with only three parallel and equally spaced lines, where the three angles of rotation for the transformation from the camera coordinate system to the world coordinate system are deduced. Then camera height is calculated compared to the previous works using a measured one with potential errors. A criterion for lane departure warning w
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Tumasov, A. V., D. Yu Tyugin, D. M. Porubov, V. I. Filatov, and A. A. Gladyshev. "Research of algorithms for road marking recognition in the lane departure warning system." Journal of Physics: Conference Series 2061, no. 1 (2021): 012130. http://dx.doi.org/10.1088/1742-6596/2061/1/012130.

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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 marking
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Chiu, Cheng Yu, Chih Han Chang, Hsin Jung Lin, and Tsong Liang Huang. "New Lane Departure Warning System Based on Side-View Cameras." Applied Mechanics and Materials 764-765 (May 2015): 1361–65. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.1361.

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This paper addressed a new lane departure warning system (LDWS). We used the side-view cameras to promote Advanced Driver Assistance Systems (ADAS). A left side-view camera detected the right lane next to vehicle, and a right side-view camera detected the right lane. Two cameras processed in their algorithm and gave warning message, independently and separately. Our algorithm combined those warning messages to analyze environment situations. At the end, we used the LUXGEN MPV to test and showed results of verifications and tests.
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Shreyas, Kankoriya. "Advanced Driver-Assistance Systems: Features Journey for Tomorrow." International Journal of Advanced Engineering and Nano Technology (IJAENT) 11, no. 1 (2024): 1–9. https://doi.org/10.35940/ijaent.E7968.11010124.

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<strong>Abstract</strong>&minus;Intelligent associated vehicles (ICVs) are accepted to completely change people sooner rather than later by making the transportation more secure, cleaner and more agreeable. Albeit numerous models of ICVs have been created to demonstrate the idea of independent driving and the plausibility of further developing traffic effectiveness, there actually exists a critical hole prior to accomplishing large scale manufacturing of undeniable level ICVs. The goal of this study is to introduce an outline of both the cutting edge and future viewpoints of key necessary adva
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Joo, Shin-Hye, Cheol Oh, Jae-Wan Lee, and Eun-Deok Lee. "Evaluating Effectiveness of Lane Departure Warning System by User Perceptions." Journal of Korean Society of Transportation 30, no. 2 (2012): 43–52. http://dx.doi.org/10.7470/jkst.2012.30.2.043.

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Dissertations / Theses on the topic "Lane Detection and Warning System (LDWS)"

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Chen, Yue. "A Novel Lightweight Lane Departure Warning System Based on Computer Vision for Improving Road Safety." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42125.

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With the rapid improvement of the Advanced Driver Assistant System (ADAS), autonomous driving has become one of the most common hot topics in recent years. While driving, many technologies related to autonomous driving choose to use the sensors installed on the vehicle to collect the information of road status and the environment outside. This aims to warn the driver to perceive the potential danger in the fastest time, which has become the focus of autonomous driving in recent years. Although autonomous driving brings plenty of conveniences to people, the safety of it is still facing diffi
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El, Zarif Jamal A. "Deploying an ITS Warning System for No-Passing Zones on Two-Lane Rural Roads." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28195.

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A new safety application, as part of ITS Advanced Rural Transportation System (ARTS), has been developed to be deployed on a two-lane rural road (Route 114), in Southwest Virginia. The route segment under study is subject to significant head-on accidents, as a result of two main conditions: 1- Illegal passing maneuvers crossing solid yellow line, and 2- A short passing sight distance due to the road vertical profile. The main objective of this research is to design a video detection-based warning system by installing an affordable and efficient system on the vertical crest curve on Route 114,
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Borkar, Amol. "Multi-viewpoint lane detection with applications in driver safety systems." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/43752.

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The objective of this dissertation is to develop a Multi-Camera Lane Departure Warning (MCLDW) system and a framework to evaluate it. A Lane Departure Warning (LDW) system is a safety feature that is included in a few luxury automobiles. Using a single camera, it performs the task of informing the driver if a lane change is imminent. The core component of an LDW system is a lane detector, whose objective is to find lane markers on the road. Therefore, we start this dissertation by explaining the requirements of an ideal lane detector, and then present several algorithmic implementations that m
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Lai, Yi-Ting, and 賴奕廷. "An embedded lane departure warning system supporting curve/straight lane mark detection." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/mpm3f6.

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Chiu, Shan-Ting, and 邱慎廷. "The Study of a Forward Vehicle Detection Warning System with Multiple-lane Detection." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/51565014465278631081.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>98<br>In This thesis the technique of image processing and computer vision theorem are applied to lane detection and vehicle detection. In the meantime, the algorithm is also applied on TI-DM642 for driving assistance system (DAS). The system has been working in different environment such as expressway, urban area and tunnel. Furthermore the algorithm is such robust to be verified with all weather condition like sunny day, cloudy day, evening, morning, night and rainy day. In the lane detection, CCD camera is used to grab the front view, and then the algorithm dete
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Wang, Jyun-Guo, and 王峻國. "Applying Fuzzy Method to Vision-Based Lane Detection and Departure Warning System." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/07366583064491094661.

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碩士<br>朝陽科技大學<br>資訊工程系碩士班<br>96<br>As the high growth of population of vehicles, the traffic accidents are becoming more and more serious in recent years. In Taiwan, according to the statistics from the Ministry of Transportation and Communications (MOTC, R.O.C.), in the past four yours, there were more than two thousand and five hundred people hurt and died in traffic accidents every year. Most occurrences of the car accidents results from the distraction, inattention for the adjacent cars, and driving fatigue of the driver. As a result, to avoid the driver being in danger as much as possible,
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Liang, Jui-Hung, and 梁瑞宏. "A front vehicle collision warning system using lane detection technique on higyways." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/49969167899695224682.

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碩士<br>國立臺灣師範大學<br>資訊工程研究所<br>100<br>The main purpose of this thesis is to develop a front-vehicle collision warning system. Drivers are easy to affect by the unexpected behaviors of neighboring vehicles and sometimes cause traffic accidents. Therefore, many driving assistance systems have been developed by car companies to protect drivers. The lane marking detection and front-vehicle detection system on the highway is one of the driving assistance systems. The lane marking detection system can detect abnormal lane change behaviors of the host vehicle, and monitor the road region in front of th
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Chu, Hao, and 朱浩. "The Study of Lane Detection and Departure Warning System Based on Machine Vision." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/56043431084209331694.

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碩士<br>國立臺北教育大學<br>資訊科學系碩士班<br>100<br>Purpose of this paper raise a vehicle lane departure warning system based on the machine vision. It does not need to use the parameters of the camera which do the road marking recognition system installed in the interior of the camera by algorithms. Regarding the time line of the intelligent transport system, it is to solve the various problems possibly arising from driving on the road. This system is mainly for the warning of the unexpected departure of vehicle. The method is to use the digital camera to capture continuous images and identify the vehicle m
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Chen, Quan-Yu, and 陳冠宇. "Detection of multiple vehicle locations combining with a lane departure warning system for vision radar applications." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/bt4496.

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碩士<br>國立交通大學<br>電子工程學系 電子研究所<br>103<br>This thesis proposes the design, verification, and vision radar system integration of two popular Advanced Driver Assistance System (ADAS) functions including Lane Departure Warning System (LDWS) and Forward Collision Warning System (FCWS). Dynamic threshold (including local threshold and global threshold) is adopted to reduce the effect of various weather conditions. Multiple frame approval is adopted to conquer the effect of some tough scenes, such as static objects, signs appearing temporarily, or interference of the windshield wiper. The proposed visi
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Li, Yuan-Fu, and 李元甫. "A Feature Based Tracking Method on Multiple-lane Vehicle Detection for Forward Collision Warning System Applications." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/v6a9dw.

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碩士<br>國立交通大學<br>電子工程學系 電子研究所<br>104<br>This thesis proposes the design and verification of one popular Advanced Driver Assistance System (ADAS) function: Forward Collision Warning System (FCWS). The proposed method apply vehicle detection and feature tracking to each frame in the videos. Feature tracking, which is adopted to conquer the effect of some critical case like non-ideal shadow, raindrop and windshield wiper, can increase the stability of vehicle localization. The proposed system can be applied to the application of single-lane FCWS, which includes main lane and three-lane FCWS which
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Book chapters on the topic "Lane Detection and Warning System (LDWS)"

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Liu, Yanxia. "Lane Departure Detection and Early Warning System for Intelligent Vehicles Based on Yolov3 Algorithm." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3210-4_12.

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Jheng Chen-Wei, Li Chih-Wen, Chuang Chen-Chia, Hsiao Chih-Ching, and Lee Tsu-Tian. "iOS based Forward Collision Warning System." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-522-7-47.

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To reduce the accident, technology of computer vision and the iPhone are used to develop of forward collision warning system. Generally, hardware device was used for the system, such as infrared. Technology of computer vision was used for lane, vehicle and distance. Lane data was detected from features about line. Lane data was used for average method, make lane detection robust. Based on the shadow of vehicle, the vehicle position was detected. Warning machine is judges dangerous for vehicle. The warning mechanism depends on the condition that is sorted. Each country has prescribed a length of dashed line in highway. Based on length of dashed line, 4 meters of the area in front of the vehicle is calculated based on Pinhole camera model. This system can be applied to iPhone. The iPhone has a best camera capabilities, auto-exposure, and auto-correction. Experimental results show that rate of lane detection does not affect the rate of error alert in warning mechanism. Forward collision warning system is robust.
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Kortli, Yassin, Mehrez Marzougui, and Mohamed Atri. "A Novel Real-Time Lighting-Invariant Lane Departure Warning System." In Security and Privacy in Smart Sensor Networks. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5736-4.ch011.

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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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Conference papers on the topic "Lane Detection and Warning System (LDWS)"

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Tikar, Sagar S., and Rajendra A. Patil. "Expression of Concern for: An improved lane and vehicle detection method in Driver Assistance System with Lane Departure and Forward Collision Warning." In 2019 IEEE Bombay Section Signature Conference (IBSSC). IEEE, 2019. http://dx.doi.org/10.1109/ibssc47189.2019.10702758.

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Bae, Hong, Yi Jiang, and Chris Hennessy. "LOW COST ADVANCDED DRIVER ASSISTANCE SYSTEM (ADAS) DEVELOPMENT." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3437.

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&lt;title&gt;ABSTRACT&lt;/title&gt; &lt;p&gt;Popularity of Advanced Driver Assistance Systems (ADAS) in the passenger car industry has seen an explosive growth in recent years. Some ADAS that are becoming ubiquitous are Lane Departure Warning (LDW), Blind Spot Detection (BSD) and automatic parking or parking assistance systems. In many cases, such systems had been developed specifically to handle the most demanding driving conditions at very high speeds, which typically require very sophisticated software and high-power hardware. However, in the other application areas or geographical regions,
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He, Jia, Hui Rong, Jinfeng Gong, and Wei Huang. "A Lane Detection Method for Lane Departure Warning System." In 2010 International Conference on Optoelectronics and Image Processing (ICOIP). IEEE, 2010. http://dx.doi.org/10.1109/icoip.2010.307.

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Dhawale, Rajat Y., and Nitin L. Gavankar. "Lane Detection and Lane Departure Warning System using Color Detection Sensor." In 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2019. http://dx.doi.org/10.1109/icicict46008.2019.8993254.

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Haloi, Mrinal, and Dinesh Babu Jayagopi. "A robust lane detection and departure warning system." In 2015 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2015. http://dx.doi.org/10.1109/ivs.2015.7225674.

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Date, Priya V., and Vijay Gaikwad. "Vision based lane detection and departure warning system." In 2017 International Conference on Signal Processing and Communication (ICSPC). IEEE, 2017. http://dx.doi.org/10.1109/cspc.2017.8305846.

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Lee, Youngwan, and Hakil Kim. "Real-time lane detection and departure warning system on embedded platform." In 2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin). IEEE, 2016. http://dx.doi.org/10.1109/icce-berlin.2016.7684702.

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Kim, Huieun, Youngwan Lee, Taekang Woo, and Hakil Kim. "Integration of vehicle and lane detection for forward collision warning system." In 2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin). IEEE, 2016. http://dx.doi.org/10.1109/icce-berlin.2016.7684703.

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Ashwini, M., and N. T. Shivananda. "Lane Departure Warning System Based on Canny Edge Detection and Hough Transform." In Second International Conference on Signal Processing, Image Processing and VLSI. Research Publishing Services, 2015. http://dx.doi.org/10.3850/978-981-09-6200-5_ip-60.

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Song, Wenjie, Mengyin Fu, Yi Yang, Meiling Wang, Xinyu Wang, and Alain Kornhauser. "Real-time lane detection and forward collision warning system based on stereo vision." In 2017 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2017. http://dx.doi.org/10.1109/ivs.2017.7995766.

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