Variable Rate Point Cloud Geometry Compression Method
Sensors, 2023 With the development of 3D sensors technology, 3D point cloud is widely used in industrial scenes due to their high accuracy, which promotes the development of point cloud compression technology.
Lehui Zhuang +3 more
doaj +4 more sources
TransPCGC: Point Cloud Geometry Compression Based on Transformers
Algorithms, 2023 Due to the often substantial size of the real-world point cloud data, efficient transmission and storage have become critical concerns. Point cloud compression plays a decisive role in addressing these challenges.
Shiyu Lu, Huamin Yang, Cheng Han
doaj +2 more sources
Real-Time Streaming Point Cloud Compression for 3D LiDAR Sensor Using U-Net
IEEE Access, 2019 Point cloud data from LiDAR sensors is the currently the basis of most L4 autonomous driving systems. Sharing and storing point clouds will also be important for future applications, such as accident investigation or V2V/V2X networks.
Chenxi Tu +3 more
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Cloud business models and sustainability: impacts for businesses and e-research [PDF]
, 2010 This paper reviews current cloud computing business models and presents proposals on how organisations can achieve sustainability by adopting appropriate models.
De Roure, David +5 more
core +9 more sources
LiDAR Point Cloud Compression by Vertically Placed Objects Based on Global Motion Prediction
IEEE Access, 2022 A point cloud acquired through a Light Detection And Ranging (LiDAR) sensor can be illustrated as a continuous frame with a time axis. Since the frame-by-frame point cloud has a high correlation between frames, a higher compression efficiency can be ...
Junsik Kim +3 more
doaj +1 more source
Prioritized Transmission Control of Point Cloud Data Obtained by LIDAR Devices
IEEE Access, 2020 Smart monitoring, particularly at intersections, is a promising service that is being considered for the concept of smart cities. A network of light detection and ranging (LIDAR) sensors, which generates point cloud data in real time, can be used to ...
Keiichiro Sato +6 more
doaj +1 more source
Patch Re-Segmentation and Packing for Dynamic Point Cloud Compression via Back-and-Forth Structure
IEEE Open Journal of Signal Processing, 2022 The dynamic point cloud is widely needed in 3D vision related applications such as virtual reality and telepresence. Due to the huge amount of data, a key technology before the effective application is the dynamic point cloud compression.
Haoyu Shi, Fan Li
doaj +1 more source
3D point cloud lossy compression using quadric surfaces [PDF]
PeerJ Computer Science, 2021 The presence of 3D sensors in hand-held or head-mounted smart devices has motivated many researchers around the globe to devise algorithms to manage 3D point cloud data efficiently and economically. This paper presents a novel lossy compression technique
Ulfat Imdad +3 more
doaj +2 more sources
Point cloud and particle data compression techniques [PDF]
, 2023 The contemporary need for heightened processing speed and storage capacity has necessitated the implementation of data compression in various applications.
Ravi, Niranjan
core +1 more source
Motion Analysis and Performance Improved Method for 3D LiDAR Sensor Data Compression [PDF]
, 2021 Continuous point cloud data is being used more and more widely in practical applications such as mapping, localization and object detection in autonomous driving systems, but due to the huge volume of data involved, sharing and storing this data is ...
Miyajima, Chiyomi +4 more
core +1 more source