Bitsensing, Kaist and Zeta Mobility to collaborate
This enables highly-accurate detection and classification of objects in complex environments. Thanks to radar’s inherent robustness in rain, snow and fog, the technology ensures consistent performance under adverse weather conditions, making it indispensable for the safety and reliability of autonomous vehicles.
Bitsensing, the Korea Advanced Institute of Science and Technology (Kaist) and Zeta Mobility will cooperate to commercialise AI-based 4D imaging radar for the automotive sector.
The three businesses said they will combine their respective expertise in radar platforms, AI-based sensor fusion and large-scale automotive datasets to accelerate autonomous driving technologies.
The agreement will begin with “phased cooperation”, including joint R&D, performance validation and field testing as well as technical advancement.
The goal is to “drive real-world adoption of AI-based 4D imaging radar in the automotive industry”.
Bitsensing is a major provider of advanced radar solutions and Kaist’s Autonomous Vehicles and Embedded Systems (AVE) Lab will work on behalf of the institute.
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.
Meanwhile, Zeta Mobility will offer large-scale automotive datasets and embedded AI expertise. Together, the three organisations will collaborate on research and development (R&D) to accelerate commercialisation.
Unlike conventional radar, 4D imaging radar captures not only distance, velocity and direction, but also elevation, called the Z-axis.
This enables highly-accurate detection and classification of objects in complex environments. Thanks to radar’s inherent robustness in rain, snow and fog, the 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.
“We are taking a major step forward in bringing next-generation radar solutions to market,” said Jae-Eun Lee, CEO of Bitsensing.
Seung-Hyun Kong of the AVE Lab at the Cho Chun Shik Graduate School of Mobility at Kaist said the agreement is particularly significant as it represents collaboration among institutions that possess core technologies essential for developing artificial intelligence for 4D radar.
Bitsensing was founded in 2018 in South Korea by experts in automotive radar technology. The company's solutions are used across a variety of applications in autonomous driving, connected living and smart cities.