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Kakao Mobility details Level 4 autonomous driving roadmap for physical AI

Kakao Mobility has set out plans to develop Level 4 autonomous driving applied sciences in-house as a part of its physical AI technique.

Kim Jin-kyu, vp and head of Kakao Mobility’s Physical AI division, offered the roadmap on the 2026 World IT Show convention at COEX in Seoul. His session centered on autonomous driving companies constructed round mobility platforms within the physical AI period.

The occasion was held below the title “Beyond Idea, Into Action: AI strikes Reality,” with 460 corporations and organisations from 17 international locations participating, in accordance with Yonhap. South Korea’s Ministry of Science and ICT additionally described the occasion as linked to a wider physical AI transition, the place AI is utilized to physical industrial fields.

Kim stated Kakao Mobility is working to mix autonomous driving applied sciences with physical infrastructure as a part of its mobility technique in Korea, and goals to determine an open autonomous driving ecosystem to assist native competitiveness.

Level 4 autonomy refers to programs that may deal with driving in restricted service areas with out requiring passengers to watch the highway or take management, in accordance with the US National Highway Traffic Safety Administration. Such programs are usually deployed in outlined service areas, like autonomous taxi zones or fastened districts.

Level 4 roadmap

Kakao Mobility’s Level 4 roadmap is constructed round three know-how areas: machine studying fashions, automobile redundancy, and validation programs.

The firm is creating machine studying fashions designed to deal with notion, decision-making, and management with out human enter. These features cowl how an autonomous automobile reads its environment, makes driving choices, and controls motion.

Kakao Mobility additionally plans to make use of automobile architectures with redundant programs, permitting core features to proceed working if an vital part fails.

Its validation platform will mix digital simulations with real-world driving information. The system is meant to assist testing, efficiency enchancment, and high quality checks as the corporate develops autonomous driving companies.

Safety and management programs

Kakao Mobility can also be constructing an built-in security administration platform for autonomous autos. One part is the Autonomous Vehicle Visualizer, a 3D visualisation instrument that shares a automobile’s subject of view in actual time and permits passengers to watch driving situations.

The instrument is designed to point out what the automobile is detecting throughout operation. It exhibits passengers the automobile’s driving context throughout a experience.

The firm plans so as to add a 24-hour management centre and an anomaly detection system utilizing vision-language fashions. These programs are supposed to assist real-time context evaluation, distant intervention, and emergency response.

The deliberate management centre would monitor autonomous driving companies after deployment. Kakao Mobility stated the anomaly detection system will use vision-language fashions, however it didn’t present details on mannequin structure or efficiency.

Open ecosystem plan

Kakao Mobility additionally outlined plans to share chosen know-how belongings with corporations, startups and producers engaged on autonomous driving.

The belongings embrace large-scale autonomous driving datasets, high-definition (HD) maps, and platform APIs for ride-hailing and dispatch. HD maps assist autonomous driving by offering detailed highway data used for localisation and driving choices.

The firm stated the asset-sharing plan would enable different trade contributors to develop autonomous driving applied sciences with out constructing all of the underlying infrastructure independently.

Kakao Mobility additionally plans to share operational sources, together with fleet administration programs and on-site response skills. These are a part of the corporate’s plan to assist an open home autonomous driving ecosystem.

Gangnam service information

The firm pointed to its late-night autonomous automobile service in Seoul’s Gangnam district as one instance of its present work. The service is accessible by way of the Kakao T platform, the place customers can entry autonomous driving companies with current mobility choices.

The Gangnam late-night autonomous taxi service recorded 7,754 rides from its launch on September 26, 2024, to February 28, 2026, in accordance with the Seoul Metropolitan Government. The metropolis stated no accidents had been attributed to autonomous driving know-how throughout that interval, and the service averaged about 24 journeys per working day.

The service moved from a free pilot to paid operation in April 2026. Seoul additionally expanded the fleet from three autos to seven, excluding two reserve autos.

The service could be referred to as by way of Kakao T utilizing both the Seoul Autonomous Car icon or the common taxi-hailing menu. Kakao T teams a number of mobility companies in a single app, together with taxi, navigation and vehicle-related companies.

The Gangnam service is accessed by way of Kakao Mobility’s current mobility platform.

(Photo by Hyundai Motor Group)

See additionally: Hyundai expands into robotics and physical AI systems

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