Výsledky vyhľadávania - vision‐based lane detection algorithms

Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision

Autori: Xing, Yang Lv, Chen Chen, Long a ďalší

Zdroj: IEEE/CAA Journal of Automatica Sinica. 5:645-661

Predmety: benchmark, Advanced driver assistance systems (ADASs), lane detection, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, ACP theory, parallel vision, performance evaluation

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6570654/8332135/08332138.pdf
https://dspace.lib.cranfield.ac.uk/handle/1826/13972

Dynamic integration and online evaluation of vision‐based lane detection algorithms

Autori: Dongpu Cao Yang Xing Huaji Wang a ďalší

Zdroj: IET Intelligent Transport Systems. 13:55-62

Predmety: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2018.5256
https://ieeexplore.ieee.org/document/8599656/
https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5256
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-its.2018.5256

Rail Line Detection Algorithm Based on Improved CLRNet.

Alternate Title: 基于改进 CLRNet 的铁轨线检测算法. (Chinese)

Autori: Zhou, Bowei Xing, Guanyu Liu, Yanli

Zdroj: Journal of Shanghai Jiaotong University (Science); Oct2025, Vol. 30 Issue 5, p923-934, 12p

Computer vision model based robust lane detection using multiple model adaptive estimation methodology.

Autori: Fakhari, Iman Anwar, Sohel

Zdroj: Frontiers in Mechanical Engineering; 2025, p1-14, 14p

Predmety: DRIVER assistance systems, DETECTION algorithms, COMPUTER vision, PID controllers, KALMAN filtering

Dynamic integration and online evaluation of vision‐based lane detection algorithms.

Autori: Xing, Yang Lv, Chen Wang, Huaji a ďalší

Zdroj: IET Intelligent Transport Systems (Wiley-Blackwell); Jan2019, Vol. 13 Issue 1, p55-62, 8p

Predmety: DRIVER assistance systems, OBJECT recognition (Computer vision), DETECTION algorithms, GAUSSIAN mixture models, COMPUTER vision, HOUGH transforms

Monocular 3D Lane Detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

Autori: Fulong Ma Weiqing Qi Guoyang Zhao a ďalší

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 26:7380-7400

Predmety: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Prístupová URL adresa: http://arxiv.org/abs/2404.06860

Vision based lane detection for intelligent vehicles

Autori: Ozgunalp, Umar Dahnoum, Naim

Prispievatelia: Ozgunalp, Umar Dahnoum, Naim

Predmety: 629.04

Prístupová URL adresa: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.691261

Practical limitations of lane detection algorithm based on Hough transform in challenging scenarios.

Autori: Huang, Qiao Liu, Jinlong

Zdroj: International Journal of Advanced Robotic Systems; Mar/Apr2021, Vol. 18 Issue 2, p1-13, 13p

Predmety: HOUGH transforms, DRIVER assistance systems, TRAFFIC safety, UTILITY poles, ALGORITHMS

Multi-class lane marking segmentation dataset for vision-based environmental perception in autonomous driving

Autori: Thozhuvur Suchindra Babu Rajalakshmi Ranganathan Senthilnathan

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 239:1834-1847

Vision-based lane detection using genetic algorithm.

Autori: Samadzadegan, F. Sarafraz, A. Tabibi, M.

Zdroj: International MultiConference of Engineers & Computer Scientists 2006. 2006, p589-594. 6p.

Predmety: Demodulation, Genetic algorithms, Parabola, Pixels, Image processing, Intelligent transportation systems, Computer vision

Geografický termín: Iran

Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

Autori: Ma, Fulong Qi, Weiqing Zhao, Guoyang a ďalší

Témy: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2404.06860

Practical limitations of lane detection algorithm based on Hough transform in challenging scenarios

Autori: Qiao Huang Jinlong Liu

Zdroj: International Journal of Advanced Robotic Systems, Vol 18 (2021)

Predmety: Electronics, TK7800-8360, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1729-8814

Prístupová URL adresa: https://doaj.org/article/8c1ddba27b674eb09e41091783c5e01c

Robust Lane Detection under Varying Lighting Conditions Using Adaptive Vision-Based Techniques

Autori: Habibatelrahman Mosaad Abdelfattah Mohamed Abdelaal Tee Connie Michael Kah Ong Goh

Zdroj: Journal of Informatics and Web Engineering, Vol 4, Iss 3, Pp 336-355 (2025)

Predmety: computer vision, lane detection, digital image processing, kalman filter, autonomous driving, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Popis súboru: electronic resource

Relation: https://mmupress.com/index.php/jiwe/article/view/1665; https://doaj.org/toc/2821-370X

Prístupová URL adresa: https://doaj.org/article/f0455b3ddb7343dfa2e730056dc8f865

Hybrid adaptive method for lane detection of degraded road surface condition

Autori: Khaled H. Almotairi

Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5261-5272 (2022)

Predmety: Gaussian process, K-nearest neighbor, Lane detection, Machine learning-based lane detection, Self-drive car, Vision-based lane detection, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1319157822002038; https://doaj.org/toc/1319-1578

Prístupová URL adresa: https://doaj.org/article/a3b8c45d2f3b4c5bb59c04d9c01f7d8a

Lane Detection Algorithm Using LRF for Autonomous Navigation of Mobile Robot

Autori: Jong-Ho Han Hyun-Woo Kim

Zdroj: Applied Sciences, Vol 11, Iss 13, p 6229 (2021)

Predmety: lane detect, tracking, 3D map, real time, laser range finder, curvature, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/11/13/6229; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/47b60bc3683c407fa2d76152d67037a6

Developing a computer vision based system for autonomous taxiing of aircraft

Autori: Prashant Gaikwad Abhishek Mukhopadhyay Anujith Muraleedharan a ďalší

Zdroj: Aviation, Vol 27, Iss 4 (2023)

Predmety: autonomous taxi, lane detection, lane navigation, object detection, collision avoidance, airport dataset, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Popis súboru: electronic resource

Relation: https://journals.vilniustech.lt/index.php/Aviation/article/view/20588; https://doaj.org/toc/1648-7788; https://doaj.org/toc/1822-4180

Prístupová URL adresa: https://doaj.org/article/69a30959bd934c0f85f191b0cfe28945

COMPUTER VISION BASED ROBUST LANE DETECTION VIA MULTIPLE MODEL ADAPTIVE ESTIMATION TECHNIQUE

Autori: Fakhari, Iman Anwar, Sohel Al Hasan, Mohammad a ďalší

Prispievatelia: Fakhari, Iman Anwar, Sohel Al Hasan, Mohammad a ďalší

Predmety: Multiple Model Adaptive Estimation, Computer Vision, Mechanical Engineering, FOS: Mechanical engineering, Lane Keeping, Lane Detection, PID Controller

Popis súboru: application/pdf

Computer Vision Based Robust Lane Detection Via Multiple Model Adaptive Estimation Technique

Autori: Fakhari, Iman

Thesis Advisors: Anwar, Sohel, Al Hasan, Mohammad, Lingxi, Li

Predmety: Computer Vision, Lane Detection, Lane Keeping, Multiple Model Adaptive Estimation, PID Controller

Dostupnosť: https://hdl.handle.net/1805/27385

Effects of Hybridizing the U-Net Neural Network in Traffic Lane Detection Process

Autori: Aron Csato Florin Mariasiu

Zdroj: Applied Sciences, Vol 15, Iss 14, p 7970 (2025)

Predmety: ADAS, autonomous vehicle, traffic lane detection, U-Net, hybrid U-NET, mIoU, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/14/7970; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/6c2000dd6c8b4321938caedc9556a527

Hybrid adaptive method for lane detection of degraded road surface condition.

Autori: Almotairi, Khaled H.¹ (AUTHOR) khmotairi@uqu.edu.sa

Zdroj: Journal of King Saud University - Computer & Information Sciences. Sep2022:Part A, Vol. 34 Issue 8, p5261-5272. 12p.

Predmety: Pavements, Gaussian processes, Autonomous vehicles