Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection

Tiago Cortinhal; Idriss Gouigah; Eren Erdal Aksoy

doi:10.1109/iv55156.2024.10588782

ScienceGate Book Chapters

JOURNAL ARTICLE

Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection

Tiago Cortinhal Idriss Gouigah Eren Erdal Aksoy

Year: 2024 Pages: 3220-3226

DOI: 10.1109/iv55156.2024.10588782

Get Full-Text PDF Get Analytical Report

Keywords:

Lidar Computer science Point cloud Semantics (computer science) Cloud computing Object detection Object (grammar) Point (geometry) Artificial intelligence Computer vision Remote sensing Pattern recognition (psychology) Programming language Geology Operating system Mathematics

Metrics

Cited By

6.83

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection

Metrics

Citation History

Topics

Related Documents

Real Pseudo-Lidar Point Cloud Fusion for 3D Object Detection

Monocular 3D Object Detection with the Pseudo-LiDAR Point Cloud

3D object detection in road scenes by pseudo-LiDAR point cloud augmentation

2D Instance-Guided Pseudo-LiDAR Point Cloud for Monocular 3D Object Detection

Object Detection Based on the Fusion of Sparse LiDAR Point Cloud and Dense Stereo Pseudo Point Cloud