Paper Title
The Power of LiDAR Technology: Enabling Safer and More Efficient Self-Driving Car
Article Identifiers
Authors
ANUJ POONIA , AMEYA SATHE , AMIT PATIL , ANIL SHIRSAT
Keywords
Keywords— Lidar, Sensor, Obstacles, Detection, Light, Ranging.
Abstract
— The LiDAR technology is rapidly advancing and revolutionizing the transportation industry, particularly in the development of self-driving cars. LiDAR sensors are now smaller, lighter, and more robust, making them suitable for use in a variety of vehicles. These sensors are capable of creating high-resolution 3D maps of the environment in real-time, providing self-driving cars with accurate perception of the road and surrounding obstacles. Along with cameras and radar sensors, LiDAR plays a crucial role in creating a comprehensive picture of the driving environment, enabling self-driving cars to make informed decisions and navigate complex driving scenarios. Despite its numerous benefits, LiDAR-based self-driving cars still face challenges such as safety concerns and potential impact on the job market. However, as manufacturers continue to invest in this technology, we can expect to see an increase in the number of self-driving cars on the road, offering safer and more efficient transportation options for the future
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How To Cite (APA)
ANUJ POONIA , AMEYA SATHE , AMIT PATIL, & ANIL SHIRSAT (September-2023). The Power of LiDAR Technology: Enabling Safer and More Efficient Self-Driving Car. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), a806-a808. https://ijnrd.org/papers/IJNRD2309094.pdf
Issue
Volume 8 Issue 9, September-2023
Pages : a806-a808
Other Publication Details
Paper Reg. ID: IJNRD_204941
Published Paper Id: IJNRD2309094
Downloads: 000121978
Research Area: Electronics & Communication Engg.Â
Country: Pune, MAHARASHTRA, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2309094.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309094
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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