Experimental Analysis of Vehicle-to-Vehicle Communication using Light Detection and Ranging (LIDAR) for Detection and Data Transmission

Autor: Hurianti Vidyaningtyas, Brian Pamukti, Dwieka Septian Arif Prasetya, Dharu Arseno
Rok vydání: 2021
Předmět:
Zdroj: 2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS).
Popis: In the era of technology 4.0, the automobile industry began to develop with the increasing comfort, safety and apply new technologies such as artificial intelligence. We propose a Light Detection and Ranging (LIDAR) sensor as a medium for detection and data transmission for safety between cars. Our proposal has been tested on prototype vehicles that can be used indoors, such as in a company that requires automation of the vehicle. This study uses a $2\times 2$ array Light Emitting Diode (LED) simultaneously to the LIDAR sensor. Prototype vehicles has been observed and analyzed for the impact of changes in distance and angle. With intensive experiments, the results show that using the LIDAR sensor in the prototype vehicle obtains accurate distance detection. We also proved that the prototype yields the optimal distance in transmitting data to be 20 cm to 120 cm at 0 degrees, 20 to 60 cm at 10 degrees, and 20 to 40 cm at 15 degrees. In addition, the maximum distance that this prototype vehicle can transmit is 260 cm at 0 degrees, 100 cm at 10 degrees, 40 cm at 15 degrees, which is still relatively safe for vehicle distance tolerance.
Databáze: OpenAIRE