Results 11 to 20 of about 496,863 (282)

LiDAR Point Cloud Generation for SLAM Algorithm Evaluation [PDF]

Sensors, 2021
With the emerging interest in the autonomous driving level at 4 and 5 comes a necessity to provide accurate and versatile frameworks to evaluate the algorithms used in autonomous vehicles.
Łukasz Sobczak, Katarzyna Filus, Adam Domański, Joanna Domańska   +3 more
doaj   +5 more sources

EPGNet: Enhanced Point Cloud Generation for 3D Object Detection [PDF]

Sensors, 2020
Three-dimensional object detection from point cloud data is becoming more and more significant, especially for autonomous driving applications. However, it is difficult for lidar to obtain the complete structure of an object in a real scene due to its ...
Qingsheng Chen, Cien Fan, Weizheng Jin, Lian Zou, Fangyu Li, Xiaopeng Li, Hao Jiang, Minyuan Wu, Yifeng Liu   +8 more
doaj   +2 more sources

Point cloud generation adversarial network based on self-attention and curvature. [PDF]

PLoS ONE
As a mainstream form of 3D data, point clouds are widely used in computer vision for tasks such as segmentation, classification, and target detection due to their simple representation method and high stability and accuracy.
Fusheng Sun, Chaofan Shen, Yu Kong, Zhiqiang Zhang, Mingyue Hu, Fengguang Xiong   +5 more
doaj   +3 more sources

Comparative Assessment of Neural Radiance Fields and 3D Gaussian Splatting for Point Cloud Generation from UAV Imagery [PDF]

Sensors
Point clouds continue to be the main data source in 3D modeling studies with unmanned aerial vehicle (UAV) images. Structure-from-Motion (SfM) and MultiView Stereo (MVS) have high time costs for point cloud generation, especially in large data sets.
Muhammed Enes Atik
doaj   +2 more sources

Point Cloud Generation from Aerial Image Data Acquired by a Quadrocopter Type Micro Unmanned Aerial Vehicle and a Digital Still Camera

Sensors, 2012
The objective of this investigation was to develop and investigate methods for point cloud generation by image matching using aerial image data collected by quadrocopter type micro unmanned aerial vehicle (UAV) imaging systems.
Tomi Rosnell, Eija Honkavaara
doaj   +3 more sources

STRATEGY ON HIGH-DEFINITION POINT CLOUD MAP CREATION FOR AUTONOMOUS DRIVING IN HIGHWAY ENVIRONMENTS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
In recent years, a lot of researchers have been trying the development of efficient ways to create HD maps with centimeter-level precision. Mobile mapping system (MMS) produce 3D HD point cloud map of the surrounding by integrating navigation (i.e ...
S. Srinara, Y.-T. Chiu, J.-A. Chen, K.-W. Chiang, M.-L. Tsai, N. El-Sheimy   +5 more
doaj   +1 more source

Geometry-Aware Generation of Adversarial Point Clouds [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Machine learning models have been shown to be vulnerable to adversarial examples. While most of the existing methods for adversarial attack and defense work on the 2D image domain, a few recent attempts have been made to extend them to 3D point cloud data.
Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia   +4 more
openaire   +3 more sources

HyperPocket: Generative Point Cloud Completion

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
Scanning real-life scenes with modern registration devices typically give incomplete point cloud representations, mostly due to the limitations of the scanning process and 3D occlusions. Therefore, completing such partial representations remains a fundamental challenge of many computer vision applications.
Spurek, Przemyslaw, Kasymov, Artur, Mazur, Marcin, Janik, Diana, Tadeja, Slawomir, Struski, Lukasz, Tabor, Jacek, Trzcinski, Tomasz   +7 more
openaire   +3 more sources

General Hypernetwork Framework for Creating 3D Point Clouds [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
In this work, we propose a novel method for generating 3D point clouds that leverages the properties of hypernetworks. Contrary to the existing methods that learn only the representation of a 3D object, our approach simultaneously finds a representation of the object and its 3D surface.
Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski   +3 more
openaire   +3 more sources

Two-branch Shape Complement Network for Feature Missing Splicing Mode

Journal of Harbin University of Science and Technology, 2023
Aiming at the problem of low fidelity of reverse geometric reconstruction of bowl-shaped cultural relics model due to the missing fragments , a 3D point cloud shape completion network based on double discrimination decoder is proposed.
SUNJin, MAHaotian, LEIZhenting, LIANGLi
doaj   +1 more source