Pengdi Huang

Orcid: 0000-0002-9926-4393

According to our database1, Pengdi Huang authored at least 13 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
On learning the right attention point for feature enhancement.
Sci. China Inf. Sci., January, 2023

2022
Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization.
IEEE Trans. Intell. Transp. Syst., 2022

2021
Hausdorff point convolution with geometric priors.
Sci. China Inf. Sci., 2021

2020
One Point is All You Need: Directional Attention Point for Feature Learning.
CoRR, 2020

2018
A Volumetric Fusing Method for TLS and SFM Point Clouds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Dection and Health Analysis of Individual Tree in Urban Environment with Multi-Sensor Platform.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Traffic Sign Occlusion Detection Using Mobile Laser Scanning Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2017

Solar Potential Analysis Method Using Terrestrial Laser Scanning Point Clouds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Automated extraction of urban roadside trees from mobile laser scanning point clouds based on a voxel growing method.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

An efficiently volumetric fusing method for structure-frome-motion and terrestrial point cloud.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
3D road surface extraction from mobile laser scanning point clouds.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Automated segmentation of LiDAR point clouds for building rooftop extraction.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Extraction of street trees from mobile laser scanning point clouds based on subdivided dimensional features.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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