Kakao Mobility targets Level 4 autonomy with in-house physical AI roadmap
kakao mobility detailed its level 4 autonomous driving roadmap at the 2026 world it show. vp kim jin-kyu outlined plans for in-house machine learning models, vehicle redundancy, and validation platforms. the firm aims to build an open ecosystem by sharing datasets, hd maps, and apis.
Kakao Mobility revealed a Level 4 autonomous driving roadmap at the 2026 World IT Show, focusing on in-house development of machine learning models for perception, decision-making, and control. The strategy includes vehicle redundancy architectures and a validation platform combining virtual simulation with real-world data from its Gangnam late-night service.
The company plans to launch a 24-hour control center featuring an anomaly detection system powered by vision-language models. To foster an open domestic ecosystem, Kakao will share large-scale datasets, HD maps, and fleet management APIs with external partners.