Airborne LiDAR | Zendy

Harsh Jindal | Zendy; Jagdeep Kaur | Zendy

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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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