A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain

07/08/2020
by   Mohammed Javed, et al.
0

Automatic processing of 3D Point Cloud data for object detection, tracking and segmentation is the latest trending research in the field of AI and Data Science, which is specifically aimed at solving different challenges of autonomous driving cars and getting real time performance. However, the amount of data that is being produced in the form of 3D point cloud (with LiDAR) is very huge, due to which the researchers are now on the way inventing new data compression algorithms to handle huge volumes of data thus generated. However, compression on one hand has an advantage in overcoming space requirements, but on the other hand, its processing gets expensive due to the decompression, which indents additional computing resources. Therefore, it would be novel to think of developing algorithms that can operate/analyse directly with the compressed data without involving the stages of decompression and recompression (required as many times, the compressed data needs to be operated or analyzed). This research field is termed as Compressed Domain Processing. In this paper, we will quickly review few of the recent state-of-the-art developments in the area of LiDAR generated 3D point cloud data compression, and highlight the future challenges of compressed domain processing of 3D point cloud data.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

03/05/2021

Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation

In a fully autonomous driving framework, where vehicles operate without ...
04/21/2020

YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud

Lidar based 3D object detection and classification tasks are essential f...
01/17/2020

Review: deep learning on 3D point clouds

Point cloud is point sets defined in 3D metric space. Point cloud has be...
09/18/2020

Deep Learning for 3D Point Cloud Understanding: A Survey

The development of practical applications, such as autonomous driving an...
02/01/2022

Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison

The worldwide commercialization of fifth generation (5G) wireless networ...
09/15/2021

Sequential Point Cloud Prediction in Interactive Scenarios: A Survey

Point cloud has been widely used in the field of autonomous driving sinc...
02/01/2020

AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing

This paper presents a novel physics-inspired deep learning approach for ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.