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Airborne LiDAR
Author(s) -
Harsh Jindal,
Jagdeep Kaur
Publication year - 2021
Publication title -
international journal of scientific research in science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-1990
pISSN - 2394-4099
DOI - 10.32628/ijsrset2183209
Subject(s) - lidar , scope (computer science) , computer science , convolutional neural network , remote sensing , state (computer science) , artificial intelligence , geography , algorithm , programming language
This data has been used in many existing inventions and even in many new inventions. This paper consists of a review of the current state of LiDAR technology and covers issues related to both data capturing and processing. In this paper, a discussion on different types of LiDAR sensors including LiDAR for autonomous vehicles was also done. It also explains existing data techniques and also gives a view of CNN (Convolutional Neural Networks). This paper also discusses the autonomous LiDAR technique in detail. The paper also discusses the future scope of technology.

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