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Road object detection for HD map: Full-element survey, analysis and perspectives

  • Published:2023-03 Issue: Volume:197 Page:122-144
  • ISSN:0924-2716
  • Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
  • language:en
  • Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Luo Zhipeng,Gao Lipeng,Xiang Haodong,Li Jonathan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference295 articles.

1. Segmentation based classification of 3D urban point clouds: A super-voxel based approach with evaluation;Aijazi;Remote Sens. (Basel),2013

2. Hierarchical graph-based segmentation for extracting road networks from high-resolution satellite images;Alshehhi;ISPRS J. Photogramm. Remote Sens.,2017

3. Real time detection of lane markers in urban streets;Aly;IEEE Intelligent Vehicles Symp.,2008

4. Are we missing condence in pseudo-lidar methods for monocular 3d object detection;Andrea,2021

5. Neural-network-based traffic sign detection and recognition in high-definition images using region focusing and parallelization;Avramovi;IEEE Access,2020

Cited by 2 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. M2FNet: Multi-modal fusion network for object detection from visible and thermal infrared images;International Journal of Applied Earth Observation and Geoinformation;2024-06

2. Cross-Difference Semantic Consistency Network for Semantic Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2024
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