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SOSLAB Expands Physical AI Adoption in National Infrastructure, Solidifying Its Role in Autonomous Driving and Robotics

SOSLAB's LiDAR solutions are rapidly spreading across Korea's infrastructure, expanding beyond mobility and robotics to core national facilities. With the government's recent "AI Transformation (AX)" policy and the growing adoption of physical AI by companies, demand for SOSLAB's LiDAR is expected to increase further throughout the entire smart infrastructure market.


On January 2, SOSLAB announced that last year it completed the supply and deployment of LiDAR and related solutions to a variety of key national infrastructure facilities, including airports, rest areas, sports complexes, and highways.


SOSLAB successfully launched a LiDAR-based parking management system project at a domestic airport in 2023. Following expanded installations the next year, the company further increased adoption at parking lots in multiple national infrastructure facilities last year. This system has not only dramatically reduced parking times but also delivered tangible results in vehicle management. These effects have been confirmed through improved public service satisfaction and reduced user inconvenience.


Last year, SOSLAB also expanded its LiDAR supply to smart tolling systems at rest areas and highways, thereby initiating the full-scale adoption of LiDAR across key national infrastructure facilities.


This year, SOSLAB plans to further expand its LiDAR solution supply to transportation platforms such as domestic and overseas airports and railways, as well as to multi-use facilities such as amusement parks and resorts. According to the company, Japan and Singapore are currently showing the fastest business progress.


The expansion of LiDAR adoption in the infrastructure sector is expected to bring meaningful changes to SOSLAB's revenue structure. The company is pursuing a business model that goes beyond simple product supply to include maintenance and operational management. Through this, SOSLAB expects to establish a stable cash flow base.


A company representative stated, "The value of LiDAR in the infrastructure and SI market lies in its evolution into a 'spatial information platform' that digitalizes spaces in real time and enables decision-making based on that data," adding, "LiDAR will become a key element in the government's AI Transformation initiative and in physical AI."


The representative continued, "For example, the currently most active LiDAR-based parking management system will be introduced as a public service by linking with private applications in the future. Through the advancement of AI solutions, we plan to sequentially release various services, such as finding my car and congestion prediction."


LiDAR plays a crucial role in collecting spatial information and rendering it as three-dimensional augmented reality data, setting it apart from camera-based vision sensors. While CCTV, commonly used in camera vision sensors, matches one camera to one screen, SOSLAB's LiDAR, with its 120-degree field of view, can use just three units to provide a full 360-degree, three-dimensional perception of the surrounding environment, enabling optimal data collection for physical AI.


In particular, LiDAR excels in quantifying factors that were previously difficult to measure, such as terrain, people, vehicles, obstacles, congestion, and risk levels. This makes it highly versatile and immediately applicable in policy-making and operational decision-making, aligning with the government's AX policy direction.


Continuing from last year, SOSLAB will participate in the world's largest IT and electronics exhibition, CES 2026, which opens on January 7, to showcase a variety of LiDAR solutions. SOSLAB has previously won two CES Innovation Awards and drew significant attention last year by unveiling its collaboration with NVIDIA at the exhibition. NVIDIA is expanding its global ecosystem by building its own platforms in various fields, including autonomous driving, robotics, and smart cities (digital twin).


SOSLAB Expands Physical AI Adoption in National Infrastructure, Solidifying Its Role in Autonomous Driving and Robotics


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