The NAMI Institute has detailed its self-driving solution, a universal autopilot designed for installation in a wide range of passenger cars, trucks, and robotic platforms. The software core is developed locally, with the company sharing progress on its FSUE NAMI page.
According to NAMI, the self-driving system can be integrated deeply into transportation development projects and is compatible with multiple vehicle types. The system has undergone testing on domestic production vehicles from both Russian and international brands, including the Lada Vesta. This underscores the solution’s versatility across different automotive platforms.
Images accompanying the release show a system module mounted on the roof of a Lada Vesta station wagon. The former NAMI director general, Denis Endachev, confirmed involvement in the testing phase for this vehicle platform.
Operational testing occurred in both controlled test fields and real-world public road conditions. The unmanned system relies on highly precise maps and multiple navigation options to maintain situational awareness. NAMI asserts that its algorithms, neural networks, and training frameworks provide performance that stands up against global competitors.
There are also notes about the transformation potential for production lines and vehicle platforms, highlighting the broader impact of autopilot integration across the automotive industry. The emphasis remains on robust performance, safety considerations, and the ability to scale the technology across different market segments.