Bitsensing, a radar solution specialist, announced on the 31st that it has signed a three-party memorandum of understanding (MOU) with KAIST AVE Lab and ZETA Mobility to advance and commercialize AI-based 4D imaging radar technology in the automotive field.
This agreement aims to improve the performance of 4D imaging radar, essential for autonomous driving and advanced driver assistance systems (ADAS), based on the technologies and expertise of each organization, and to implement this as an embedded AI solution that can be applied in real time to in-vehicle systems.
Under the agreement, Bitsensing will provide a high-performance 4D imaging radar hardware platform, while the KAIST AVE Lab will be responsible for developing AI algorithms based on radar signal processing and sensor fusion. ZetaMobility will provide a large-scale automotive dataset and embedded AI technology, and the three organizations plan to pursue joint research and technology development in phases.
4D imaging radar is a technology that adds elevation (Z-axis) data to existing 3D information to precisely measure objects' distance, speed, direction, and height. Its unique characteristic is its ability to maintain stable detection performance even in adverse weather conditions and complex road conditions. This technology is expected to significantly improve the safety and reliability of autonomous vehicles by enabling more accurate recognition and classification of objects such as vehicles, pedestrians, and infrastructure on the road.
“4D imaging radar, a key sensor for autonomous driving, is a technology that requires high precision and the ability to respond to adverse weather conditions,” said Lee Jae-eun, CEO of Bitsensing. “Through this collaboration, Bitsensing’s radar platform, KAIST’s AI algorithm, and ZetaMobility’s data and embedded technology will come one step closer to commercializing automotive radar technology.”
Professor Gong Seung-hyun of KAIST said, “This agreement is significant in that it is a collaboration based on the core technologies possessed by each institution,” and “By bringing together specialized capabilities in each field, such as high-performance hardware, AI data processing technology, and AI-based object recognition, we will be able to implement a world-class 4D radar solution.”
“It is meaningful to have this opportunity to solve technical challenges and accelerate commercialization through collaboration between specialized organizations,” said Hyunseok Lee, CEO of Zeta Mobility. “Zeta Mobility will contribute to the practical application of autonomous driving technology through embedded AI technology.”
- See more related articles
You must be logged in to post a comment.