Kakao Mobility has set out plans to develop Level 4 autonomous driving technologies in-house as part of its physical AI strategy.
Kim Jin-kyu, vice president and head of Kakao Mobility’s Physical AI division, presented the roadmap at the 2026 World IT Show conference at COEX in Seoul. His session focused on autonomous driving services built around mobility platforms in the physical AI era.
The event was held under the title “Beyond Idea, Into Action: AI moves Reality,” with 460 companies and organisations from 17 countries taking part, according to Yonhap. South Korea’s Ministry of Science and ICT also described the event as linked to a wider physical AI transition, where AI is applied to physical industrial fields.
Kim said Kakao Mobility is working to combine autonomous driving technologies with physical infrastructure as part of its mobility strategy in Korea, and aims to establish an open autonomous driving ecosystem to support local competitiveness.
Level 4 autonomy refers to systems that can handle driving in limited service areas without requiring passengers to monitor the road or take control, according to the US National Highway Traffic Safety Administration. Such systems are typically deployed in defined service areas, like autonomous taxi zones or fixed districts.
Level 4 roadmap
Kakao Mobility’s Level 4 roadmap is built around three technology areas: machine learning models, vehicle redundancy, and validation systems.
The company is developing machine learning models designed to handle perception, decision-making, and control without human input. These functions cover how an autonomous vehicle reads its surroundings, makes driving decisions, and controls movement.
Kakao Mobility also plans to use vehicle architectures with redundant systems, allowing core functions to continue operating if an important component fails.
Its validation platform will combine virtual simulations with real-world driving data. The system is intended to support testing, performance improvement, and quality checks as the company develops autonomous driving services.
Safety and control systems
Kakao Mobility is also building an integrated safety management platform for autonomous vehicles. One component is the Autonomous Vehicle Visualizer, a 3D visualisation tool that shares a vehicle’s field of view in real time and allows passengers to monitor driving conditions.
The tool is designed to show what the vehicle is detecting during operation. It shows passengers the vehicle’s driving context during a ride.
The company plans to add a 24-hour control centre and an anomaly detection system using vision-language models. These systems are intended to support real-time context analysis, remote intervention, and emergency response.
The planned control centre would monitor autonomous driving services after deployment. Kakao Mobility said the anomaly detection system will use vision-language models, but it did not provide details on model architecture or…
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