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GNN-Based Point Cloud Maps Feature Extraction and Residual Feature Fusion for 3D Object Detection
Wei Hsiang Liao,
Chieh Chih Wang
,
Wen Chieh Lin
電機工程學系
多媒體工程研究所
研究成果
:
Conference contribution
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同行評審
2
引文 斯高帕斯(Scopus)
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Keyphrases
3D Object Detection
100%
Environment Information
33%
Extraction Features
100%
Feature Extraction
100%
Feature Fusion
100%
Feature Map
100%
Feature Residual
100%
Ground Truth Annotation
33%
HD Map
66%
Learning Maps
33%
LiDAR
33%
LiDAR Detection
33%
Long Distance
33%
Long-range Vehicle
33%
NuScenes Dataset
33%
Object Detection Algorithm
33%
Point Cloud
33%
Point Cloud Map
100%
Precision Improvement
33%
Receptive Field
33%
Residual Features
100%
Semantic Map
33%
Sensing Area
33%
Similar Shape
33%
Sparsest Point
33%
Static Object
33%
Static Scene
33%
Voxel-wise
33%
Engineering
3D Object Detection
100%
Based Feature Extraction
33%
Feature Extraction
100%
Point Cloud
100%
Receptive Field
33%
Medicine and Dentistry
False Positive Result
100%
Feature Extraction
100%
Receptive Field
50%
Earth and Planetary Sciences
Detection Method
50%
Pattern Recognition
100%
State of the Art
50%