LG Uplus Diagnoses Autonomous Vehicle Anomalies with AI in Partnership with AceLab

Big Data and AI-Based... Detecting Anomalies in the Cloud

[Asia Economy Reporter Cha Min-young] LG Uplus announced on the 21st that it will develop next-generation technology to diagnose abnormalities in autonomous vehicles using big data and artificial intelligence (AI) technology in collaboration with AceLab, a domestic autonomous driving solution company.

The next-generation technology being developed is a system that determines software and hardware abnormalities of autonomous vehicles in the cloud using big data and AI, and notifies autonomous mobility service operators. Once the technology reaches the commercialization stage, it will be possible not only to urgently recall malfunctioning autonomous vehicles diagnosed with abnormalities but also to provide unmanned driving services in hazardous areas.

The two companies plan to complete the development of autonomous vehicle abnormality diagnosis technology by the third quarter and apply it to demonstration projects. Through this, they aim to implement much safer autonomous driving and expand cooperation to provide differentiated autonomous driving services.

AceLab is developing autonomous driving software by integrating LG Uplus’s big data technology into autonomous vehicles for real-time remote debugging, autonomous driving data classification, and search functions.

Choi Chang-guk, Head of Next-Generation Technology Lab (Executive Director) at LG Uplus, said, “We will accelerate the development of autonomous driving-related technologies to gain momentum in our core business, the smart mobility business,” and added, “This year, we plan to actively participate in autonomous driving demonstration projects led by local governments.”

This content was produced with the assistance of AI translation services.