RoaDSaVe: A Robust Lane Detection Method Based on Validity Borrowing From Reliable Lines-Reference-Cited by-同舟云学术

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RoaDSaVe: A Robust Lane Detection Method Based on Validity Borrowing From Reliable Lines

Published:2023-07-01 Issue:13 Volume:23 Page:14571-14582
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Maghsoumi Hossein¹^ORCID,Masoumi Nasser²^ORCID,Araabi Babak Nadjar³^ORCID

Affiliation:

1. Circuits and Systems and Test Laboratory (CST-Lab), School of Electrical and Computer Engineering (ECE), College of Engineering, University of Tehran, Tehran, Iran

2. Department of Electronics, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

3. Machine Learning and Computational Modeling Laboratory (MLCM-Lab), School of Electrical and Computer Engineering (ECE), College of Engineering, University of Tehran, Tehran, Iran

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10168680/10137425.pdf?arnumber=10137425

Reference35 articles.

1. YOLOP: You Only Look Once for Panoptic Driving Perception

2. Feature Pyramid Networks for Object Detection

3. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Cited by 1 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. Lane Detection and Tracking Datasets: Efficient Investigation and New Measurement by a Novel “Dataset Scenario Detector” Application;IEEE Transactions on Instrumentation and Measurement;2024

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