U-Net-based RGB and LiDAR image fusion for road segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02502-5.pdf
Reference16 articles.
1. Assidiq, A.A.M., Khalifa, O.O., Islam, Md. R., Khan, S.: Real time lane detection for autonomous vehicles. In: 2008 International Conference on Computer and Communication Engineering, pp. 82–88 (2008)
2. Wang, H., Fan, R., Cai, P., Liu, M.: Sne-roadseg+: rethinking depth-normal translation and deep supervision for freespace detection. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1140–1145 (2021)
3. Muñoz-Bulnes, J., Fernandez, C., Parra, I., Fernández-Llorca, D., Sotelo, M.A.: Deep fully convolutional networks with random data augmentation for enhanced generalization in road detection. In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), pp. 366–371 (2017)
4. Hillel, A.B., Lerner, R., Levi, D., Raz, G.: Recent progress in road and lane detection: a survey. Mach. Vis. Appl. 25, 04 (2014)
5. Gu, S., Zhang, Y., Tang, J., Yang, J., Kong, H.: Road detection through CRF based Lidar-camera fusion. In: 2019 International Conference on Robotics and Automation (ICRA), pp. 3832–3838 (2019)
Cited by 4 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. Integrating vision and lidar based hyperlocal metadata for optimal capacity expansion planning in hillside road networks;Advanced Engineering Informatics;2024-10
2. Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning;2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM);2023-12-19
3. End-to-end system for monitoring the state of rivers using a drone;Frontiers in Environmental Science;2023-11-13
4. Buffer ladder feature fusion architecture for semantic segmentation improvement;Signal, Image and Video Processing;2023-09-23
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3