DH Autoware Develops On-Device AI Vehicle Control System Optimized for Autonomous Vehicles

DH Autoware announced on the 24th that it will participate in a government-funded project to develop a vehicle control system based on on-device artificial intelligence (AI) technology. Leveraging its AI and control technologies, DH Autoware plans to develop an integrated control system applicable to next-generation vehicles and autonomous vehicles.

This government-funded project focuses on the "Development of a chassis integrated control system based on AI-applied front road surface condition assessment" and is conducted as part of the Ministry of Trade, Industry and Energy's materials and components technology development program. Global automotive electronics company HL Mando is the lead research institution. DH Autoware is participating as a joint research institution alongside the Illinois Institute of Technology, Korea Automotive Technology Institute, and Inha University.

Through this government project, DH Autoware plans to develop a next-generation on-device AI controller linked with the vehicle control system. Based on data collected from multi-environment sensors, the goal is to commercialize a vehicle AI controller that can assess road conditions in real time and maximize driving stability. DH Autoware intends to apply its proprietary AI model technologies to develop AI software and a low-power on-device AI controller for vehicles.

On-device AI is characterized by AI algorithms running directly on the device itself, making it applicable not only to smart devices but also to various fields such as autonomous vehicles and industrial robots. After developing the vehicle on-device AI controller, DH Autoware plans to diversify its application areas to autonomous vehicles, robots, and more.

A DH Autoware representative said, “Based on our expertise in vehicle controllers, we have joined the government project to develop a real-time integrated vehicle control system. Through this project, we will develop an on-device AI controller and proceed with performance verification linked to the integrated vehicle control system for commercialization.”

He added, “Especially for autonomous vehicles, which must assess and respond to situations in real time without relying on external servers or the cloud, next-generation vehicle control systems are highly relevant. Based on technological similarities, we plan to expand the application of our proprietary on-device AI technology not only to automobiles but also to various industries such as autonomous vehicles and robots in the future.”

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