Road mark recognition using HOG-SVM and correlation-Reference-Cited by-同舟云学术

Road mark recognition using HOG-SVM and correlation

Published:2017-08-24 Issue: Volume: Page:
ISSN:
Container-title:Optics and Photonics for Information Processing XI
language:
Short-container-title:

Author:

Alfalou Ayman,Ouerhani Yousri,Brosseau C.

Publisher

SPIE

Reference18 articles.

1. Segmentation algorithms for road marking digital image analysis;Burrow,2003

2. Automatic 3D extraction of rectangular road marks with centimeter accuracy from stereo-pairs of a ground-based mobile mapping system;Soheilian;International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2007

3. Road detection based on illuminant invariance;Alvarez;IEEE Trans. Intelligent Transportation Systems,2010

4. Automatic real-time road marking recognition using a feature driven approach

5. ACTRIS VIAPIX solution. 〈http://www.viapix.eu/〉.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LesionTalk: Core Data Extraction and Multi-class Lesion Detection in IoT-based Intelligent Healthcare;ACM Transactions on Sensor Networks;2023-03

2. Deep embedded hybrid CNN–LSTM network for lane detection on NVIDIA Jetson Xavier NX;Knowledge-Based Systems;2022-03

3. Hw/Sw Co-Design technique for 2D fast fourier transform algorithm on Zynq SoC;Integration;2022-01

4. Tracking Student Attendance in Virtual Classes Based on MTCNN and FaceNet;Intelligent Information and Database Systems;2022

5. Active learning for road lane landmark inventory with V-ELM in highly uncontrolled image capture conditions;Neurocomputing;2021-05