bitsensing, KAIST AVE Lab, and ZETA Mobility Sign MOU to Commercialize AI-Based 4D Imaging Radar for Automotive Applications
bitsensing, KAIST AVE Lab, and ZETA Mobility Sign MOU to Commercialize AI-Based 4D Imaging Radar for Automotive Applications
Combining expertise in radar platforms, AI-based sensor fusion, and large-scale automotive datasets to accelerate autonomous driving technologies
July 31, 2025 - Seoul – bitsensing, a leading provider of advanced radar solutions, announced today that it has signed a three-way Memorandum of Understanding (MOU) with the Autonomous Vehicles and Embedded Systems (AVE) Lab of Korea Advanced Institute of Science and Technology (KAIST) and ZETA Mobility to advance and commercialize AI-powered 4D imaging radar technology for the automotive sector.
The MOU aims to leverage each party’s strengths to co-develop a real-time, embedded AI-based solution that enhances the performance of 4D imaging radar—one of the most critical sensors for autonomous driving and Advanced Driver Assistance Systems (ADAS).
Under the agreement, bitsensing will provide its high-performance 4D imaging radar hardware platform, KAIST AVE Lab will contribute AI algorithms based on radar signal processing and sensor fusion, and ZETA Mobility will offer large-scale automotive datasets and embedded AI expertise. Together, the three organizations will collaborate on research and development (R&D) to accelerate commercialization.
Unlike conventional radar, 4D imaging radar captures not only distance, velocity, and direction, but also elevation (Z-axis), enabling highly accurate detection and classification of objects in complex environments. Thanks to radar’s inherent robustness in rain, snow, and fog, this technology ensures consistent performance under adverse weather conditions—making it indispensable for the safety and reliability of autonomous vehicles. Through this collaboration, the partners expect to significantly improve the recognition and classification accuracy of vehicles, pedestrians, and infrastructure on the road.
"4D imaging radar is a key sensor for autonomous driving that demands both high precision and all-weather reliability,” said Jae-Eun Lee, CEO of bitsensing. “By combining bitsensing’s proprietary radar expertise with the AI and dataset capabilities of KAIST AVE Lab and ZETA Mobility, we are taking a major step forward in bringing next-generation radar solutions to market."
Professor Seung-Hyun Kong of the AVE Lab at the Cho Chun Shik Graduate School of Mobility at KAIST said, "This agreement is particularly significant as it represents collaboration among institutions that possess core technologies essential for developing artificial intelligence for 4D radar." He further added, "Bitsensing, specializing in high-performance 4D radar hardware; ZETA Mobility, developing embedded AI-based data processing and system integration modules; and KAIST AVE Lab, a leading group in AI research for surrounding object recognition using 4D radar, will combine their unique expertise. Through this partnership, we aim to lead the world in developing and commercializing advanced AI-embedded 4D radar systems."
Hyunseok Lee, CEO of ZETA Mobility, stated, “This partnership, through which specialized institutions collaborate to solve technological challenges and develop world-class solutions, is extremely meaningful. ZETA Mobility will leverage our embedded AI expertise to contribute significantly to advancing and commercializing autonomous driving technologies.”
The three parties will pursue phased cooperation—including joint R&D, performance validation and field testing, and technical advancement—to drive real-world adoption of AI-based 4D imaging radar in the automotive industry.
About AVE Lab at the Cho Chun Shik graduate school of mobility at KAIST
The KAIST AVE (Autonomous Vehicles and Embedded Systems) Lab focuses on developing essential AI technologies for autonomous driving and advancing system integration. The lab has achieved world-class research outcomes in these fields. Since 2021, it has led pioneering research on 4D radar, culminating in the creation of the widely shared “K-Radar dataset,” which continues to be utilized by universities and companies around the world. Building on this foundation, the AVE Lab is establishing itself as a leader in radar-based perception AI. In addition, the lab is actively conducting research on decision-making and control AI, as well as high-precision localization technologies for autonomous vehicles. For more information, visit https://ave.kaist.ac.kr/.
About ZETA Mobility
ZETA Mobility is an autonomous driving startup specializing in 4D radar-based perception AI and sensor fusion technologies. Since its founding in 2024, the company has demonstrated its technological capabilities by participating in the “4D Radar Data Generation AI Project,” jointly conducted by the KAIST AVE Lab and Hyundai Motor Company. ZETA Mobility is also contributing to the development of open-source autonomous driving platforms through a Memorandum of Understanding (MOU) with the Autoware Center of Excellence. The company aims to enhance vehicle safety and reliability by advancing core technologies for autonomous driving, ultimately striving toward full autonomy. For more information, visit https://zetamobility-company.imweb.me/.