TY - JOUR
T1 - Development of Robotic Model to Support Intelligent Vehicles Behaviors. Global Journal of Modeling and Computational Intelligence
AU - Rababaah, Aaron
AU - Asa'ad, Anwar
AU - Sultan, Ahmed
AU - Al-Failakawi, Abrar
AU - Al-Arouj, Khaled
N1 - Rababaah Aaron, etal. (2021). Development of Robotic Model to Support IntelligentVehicles Behaviors. Global Journal of Modeling and Computational Intelligence, 1(1), 50-59.https://aonapps.s3-ap-southeast 1.amazonaws.com/GKF/05_Rababaah.pdf
PY - 2021
Y1 - 2021
N2 - Advancements of Artificial Intelligence have opened new opportunities for intelligent solutions in many areas including: industry, health care, government, education, transportation, etc. In this work, we are interested in intelligent autonomous vehicles. This paper presents development of a robotic model to support intelligent vehicles behaviors. The system is an integration of Android, Arduino, RaspberryPI and Google Machine vison/learning libraries. The hardware was design using small scale robotic kit equipped with microcontroller and mobility platform. the tested intelligent behaviors included: wireless communication, line following, find home-base, obstacle avoidance, and auto park. All the stated behaviors were tested in real world environment and results were reliable and promising to support more future inclusion of advanced behaviors.||Advancements of Artificial Intelligence have opened new opportunities for intelligent solutions in many areas including: industry, health care, government, education, transportation, etc. In this work, we are interested in intelligent autonomous vehicles. This paper presents development of a robotic model to support intelligent vehicles behaviors. The system is an integration of Android, Arduino, RaspberryPI and Google Machine vison/learning libraries. The hardware was design using small scale robotic kit equipped with microcontroller and mobility platform. the tested intelligent behaviors included: wireless communication, line following, find home-base, obstacle avoidance, and auto park. All the stated behaviors were tested in real world environment and results were reliable and promising to support more future inclusion of advanced behaviors.
AB - Advancements of Artificial Intelligence have opened new opportunities for intelligent solutions in many areas including: industry, health care, government, education, transportation, etc. In this work, we are interested in intelligent autonomous vehicles. This paper presents development of a robotic model to support intelligent vehicles behaviors. The system is an integration of Android, Arduino, RaspberryPI and Google Machine vison/learning libraries. The hardware was design using small scale robotic kit equipped with microcontroller and mobility platform. the tested intelligent behaviors included: wireless communication, line following, find home-base, obstacle avoidance, and auto park. All the stated behaviors were tested in real world environment and results were reliable and promising to support more future inclusion of advanced behaviors.||Advancements of Artificial Intelligence have opened new opportunities for intelligent solutions in many areas including: industry, health care, government, education, transportation, etc. In this work, we are interested in intelligent autonomous vehicles. This paper presents development of a robotic model to support intelligent vehicles behaviors. The system is an integration of Android, Arduino, RaspberryPI and Google Machine vison/learning libraries. The hardware was design using small scale robotic kit equipped with microcontroller and mobility platform. the tested intelligent behaviors included: wireless communication, line following, find home-base, obstacle avoidance, and auto park. All the stated behaviors were tested in real world environment and results were reliable and promising to support more future inclusion of advanced behaviors.
UR - https://dspace.auk.edu.kw/handle/11675/8236
M3 - Article
JO - Global Journal of Modeling and Computational Intelligence
JF - Global Journal of Modeling and Computational Intelligence
ER -