Abstract
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.
| Original language | American English |
|---|---|
| Journal | Global Journal of Modeling and Computational Intelligence |
| State | Published - 2021 |
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