Jakarta, INTI - The Daya Anagata Nusantara Investment Management Agency (Danantara) has begun exploring autonomous vehicle technology developed in China, as reflected in a visit by its CEO, Rosan Roeslani, to the EVE Energy facility in Jingmen.
In a post on his Instagram account on Sunday, April 12, 2026, Rosan stated that the visit aimed to directly observe advancements in sensor- and artificial intelligence (AI)-based vehicles capable of navigating without a driver, known as autonomous vehicles.
“The visit to the EVE Energy facility in Jingmen, China, was intended to review the development of sensor- and AI-based vehicles capable of autonomous navigation without a driver,” Rosan said.
He added that the integration of software, sensors, and control systems developed at the facility is considered capable of delivering a safer and more efficient mobility system.
Early Trials of Smart Mobility Ecosystem in Indonesia
Furthermore, Rosan revealed that similar technologies are also being tested on a limited basis in Indonesia.
Several test locations include BSD City and the Nusantara Capital City (IKN). These trials are part of efforts to build a more intelligent and integrated future transportation ecosystem.
“This innovation has the potential to transform the way we move, improve safety, and enhance efficiency in urban transportation systems,” he said.
However, it remains unclear whether Indonesia will fully adopt autonomous vehicle technology in the future. Rosan has also previously visited facilities focused on battery development, electric vehicles, and solar energy.
Conclusion
Danantara’s visit to EVE Energy highlights Indonesia’s growing interest in autonomous vehicle technology and advanced mobility systems powered by AI and sensors. While the technology is still in the exploratory and pilot phase, both in China and Indonesia, it signals a potential shift toward smarter and more integrated transportation ecosystems. However, full-scale adoption will depend on regulatory readiness, infrastructure development, and long-term strategic planning.
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