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Artificial Intelligence in Autonomous Vehicles: Current Innovations and Future Trends

International Journal of Cyber and IT Service Management · Vol. 4 No. 2 (2024) · hlm. 97–104

DOI
10.34306/ijcitsm.v4i2.161
ISSN
2808-554X, 2797-1325
Terbit
2024-10-08
Penerbit
Pandawan Sejahtera Indonesia
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0/

Abstrak

Artificial Intelligence (AI) has become a cornerstone in advancing autonomous vehicles, enabling realtime decision making, object detection, and automation in driving systems. This study aims to explore key AI innovations, including Machine Learning (ML) algorithms, computer vision, and reinforcement learning, that contribute to the development of autonomous vehicles. A qualitative approach} was adopted to analyze both current applications and future innovations of AI in autonomous vehicles. The study highlights various current AI applications in autonomous vehicles, such as automated safety features, advanced navigation systems, and adaptive cruise control. These technologies demonstrate how AI enhances vehicle functionality and improves safety in today driving environment. Looking ahead, AI is expected to enable full autonomy in vehicles, foster integration with smart city infrastructures, and drive innovations in fleet management. These advancements are anticipated to significantly improve vehicle safety, operational efficiency, and the overall user experience, solidifying AI as the fundamental technology for the future of intelligent transportation systems.

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  • Universitas Raharja
  • Satya Wacana Christian University
  • Tadulako University
  • Universitas Catur Insan Cendekia Cirebon
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Qurotul AiniUniversitas Raharja8
Untung RahardjaAfiliasi tidak diketahui3
Danny ManonggaSatya Wacana Christian University2
Tatik MariyantiAfiliasi tidak diketahui2
Marviola HardiniAfiliasi tidak diketahui2
Adam FaturahmanAfiliasi tidak diketahui2
Po Abas SunaryaAfiliasi tidak diketahui2
Mukti BudiartoUniversitas Raharja1
Panca O. Hadi PutraUniversitas Raharja1
Untung RahardjaUniversitas Raharja1
Eko SediyonoSatya Wacana Christian University1
Sri Yulianto Joko PrasetyoSatya Wacana Christian University1
Fitra Putri OgandaUniversitas Raharja1
Nur AzizahUniversitas Raharja1
Rahmat SalamAfiliasi tidak diketahui1
Dewi ImmaniarAfiliasi tidak diketahui1
Dedeh SupriyantiAfiliasi tidak diketahui1
Nur AzizahAfiliasi tidak diketahui1
Wahyuningsih WahyuningsihTadulako University1
Tarisya RamadhanAfiliasi tidak diketahui1
Fifin AlfianaAfiliasi tidak diketahui1
Nimatul KhofifahAfiliasi tidak diketahui1
Nadia Nur AzizahAfiliasi tidak diketahui1
Nova RamadhonaAfiliasi tidak diketahui1
Susy Alestriani SibagariangAfiliasi tidak diketahui1
Anthony RodriguezAfiliasi tidak diketahui1
Yusrawati. .Afiliasi tidak diketahui1
Irwan SembiringSatya Wacana Christian University1
Vonda ElmandaAfiliasi tidak diketahui1
Chandra LukitaUniversitas Catur Insan Cendekia Cirebon1
Muhammad AfifAfiliasi tidak diketahui1
Siti Nurindah SariAfiliasi tidak diketahui1
Daniel BennetAfiliasi tidak diketahui1
VictoriandaAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://iiast.iaic-publisher.org/ijcitsm/index.php/IJCITSM/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Artificial Intelligence in Autonomous Vehicles: Current Innovations and Future Trends</dc:title>
	<dc:creator xml:lang="en">Noviati, Nuraini Diah</dc:creator>
	<dc:creator xml:lang="en">Putra, Fengki Eka</dc:creator>
	<dc:creator xml:lang="en">Sadan, Sadan</dc:creator>
	<dc:creator xml:lang="en">Ahsanitaqwim, Ridhuan</dc:creator>
	<dc:creator xml:lang="en">Septiani, Nanda</dc:creator>
	<dc:creator xml:lang="en">Santoso, Nuke Puji Lestari</dc:creator>
	<dc:subject xml:lang="en">Artificial Intelligence (AI)</dc:subject>
	<dc:subject xml:lang="en">Autonomous Vehicles</dc:subject>
	<dc:subject xml:lang="en">Machine Learning (ML)</dc:subject>
	<dc:subject xml:lang="en">Safety Features</dc:subject>
	<dc:subject xml:lang="en">Driving</dc:subject>
	<dc:description xml:lang="en">Artificial Intelligence (AI) has become a cornerstone in advancing autonomous vehicles, enabling realtime decision making, object detection, and automation in driving systems. This study aims to explore key AI innovations, including Machine Learning (ML) algorithms, computer vision, and reinforcement learning, that contribute to the development of autonomous vehicles. A qualitative approach} was adopted to analyze both current applications and future innovations of AI in autonomous vehicles. The study highlights various current AI applications in autonomous vehicles, such as automated safety features, advanced navigation systems, and adaptive cruise control. These technologies demonstrate how AI enhances vehicle functionality and improves safety in today driving environment. Looking ahead, AI is expected to enable full autonomy in vehicles, foster integration with smart city infrastructures, and drive innovations in fleet management. These advancements are anticipated to significantly improve vehicle safety, operational efficiency, and the overall user experience, solidifying AI as the fundamental technology for the future of intelligent transportation systems.</dc:description>
	<dc:publisher xml:lang="en">Pandawan Sejahtera Indonesia</dc:publisher>
	<dc:date>2024-10-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://iiast.iaic-publisher.org/ijcitsm/IJCITSM/article/view/161</dc:identifier>
	<dc:identifier>10.34306/ijcitsm.v4i2.161</dc:identifier>
	<dc:source xml:lang="en">International Journal of Cyber and IT Service Management; Vol. 4 No. 2 (2024): October; 97-104</dc:source>
	<dc:source>2808-554X</dc:source>
	<dc:source>2797-1325</dc:source>
	<dc:source>10.34306/ijcitsm.v4i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://iiast.iaic-publisher.org/ijcitsm/IJCITSM/article/view/161/93</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Nuraini Diah Noviati, Sadan, Ridhuan Ahsanitaqwim, Nanda Septiani, Nuke Puji Lestari Santoso</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0/</dc:rights>
</oai_dc:dc>