Kecerdasan Buatan dalam Kendaraan Otonom: Tinjauan Sistematis terhadap Tren dan Tantangan Masa Depan
DOI:
https://doi.org/10.61844/jemmtec.v5i01.1366Keywords:
Artificial Intelligence, Autonomous Vehicles, WorkforceAbstract
Artificial Intelligence (AI) has become a key element in the development of autonomous vehicles, which are expected to revolutionize modern transportation by delivering greater efficiency, safety, and comfort. This study aims to present a systematic review of current trends and future challenges in the application of AI in autonomous vehicles. The study includes an analysis of various AI technologies such as machine learning, deep learning, predictive control, safety, and adaptability to dynamic road conditions. Furthermore, the study explores the AI skills most needed by the current and future workforce in the autonomous vehicle industry. Results: Machine learning, deep learning, predictive control, and visual perception systems are key technologies in creating vehicles that are capable of making decisions independently and responsive to changing road conditions. Furthermore, AI's ability to manage energy and improve safety is crucial for the sustainability of this industry. Therefore, developing skills in AI is not only an urgent need for the current workforce but also a foundation for the future growth of the autonomous vehicle industry.
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