Dynamic Information System for Cooperative Autonomous Driving

[INQ. NO. 2403M01] WAYS1 Inc. recently announced that its self-developed dynamic information system for cooperative autonomous driving, ‘Local Dynamic Map to Everything (LDM2X),’ was selected as an excellent research and development innovation product by the Ministry of Land, Infrastructure and Transport (MOLIT).
WAYS1’s solution LDM2X attracts attention as the first example of a cooperative autonomous driving solution designated as an excellent research and development innovation product in recognition of its innovation and public concern.
In order to overcome the limitations of self-driving cars that currently rely only on their own sensors, LDM2X accurately maps real-time dynamic object information collected from traffic infrastructure such as CCTV and traffic lights on roads, and creates it into the standard messages required for self-driving cars.
In addition, LDM2X can be directly applied not only to autonomous driving, but also to the overall C-ITS, including ITS advancement, smart intersections, and child protection zone control. This is attributable to the result of satisfying the low-latency performance with an edge computing method that performs data processing and analysis at the road site.
In addition, WAYS1 introduced LDM2X for the first time at this year’s Consumer Electronic Show (CES) in Las Vegas. It presented an infrastructure-based cooperative autonomous driving solution as a new alternative to the American and European markets where the need for autonomous vehicle safety is increasing, and received a lot of attention from automakers and various autonomous vehicle startups from overseas.
A spokesperson for the company explained, “We participated in various national research projects including MOLIT’s ‘Urban Road Cooperative Autonomous Driving Safety Infrastructure Research,’ and gained recognition for our technological prowess through leading R&D in the LDM sector,” adding, “We plan to continue commercializing various transportation solutions, including LDM-based autonomous driving digital twin control, signal simulation, etc.”

 
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