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IJSTR >> Volume 7 - Issue 10, October 2018 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Improving Lidar/RADAR And Other Photon Emissive Sensors Through Data Transmission, Utilizing Continuous Wave Frequency Modulation (CWFM).

[Full Text]

 

AUTHOR(S)

Nathan John Parrott

 

KEYWORDS

Autonomous Vehicles, Lidar, LIDATA, LIRDATA, RADAR, RADATA, Sensors

 

ABSTRACT

Lidar has emerged as one of the critical components in the quest to build a fully autonomous vehicle. Its provides the spatial resolution required to accurately discern and identify a wide variety of objects and operates at ranges far enough in front of the vehicle that computational models of the environment can be built and meaningful action taken. This combination of features is not available from any competing technology such as RADAR, Ultrasonic or camera vision systems. Lidar does however, have its own set of issues which are currently preventing its adoption by auto manufacturers on mass. These are its high per unit cost, mechanical mode of operation and the correlation between accuracy, range and emission power which has to be limited in order to comply with eye safety legislation. LIRDATA is a new technology which helps to solve these fundamental drawbacks to Lidar and assist with making Lidar the primary sensor option for the Autonomous Vehicle industry.

 

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