Our research paper, presented by Dr. Yoneda and Dr. Suganuma, Ph.D. from Moveez at the 35th IEEE Intelligent Vehicles Symposium (IV 2024)—a leading international conference on autonomous driving held in Jeju Island, South Korea from June 2 to 5—has been awarded the Best Paper Award.
The awarded paper focused on surrounding object recognition technologies for autonomous driving, and presented a method that enhances object detection performance by leveraging 4D imaging radar, a next-generation millimeter-wave radar sensor. The study contributes to advancing the accuracy and robustness of object recognition in complex driving environments.
Keisuke Yoneda, Ranju Shiraki, Keigo Hariya, Hiroki Inoshita, Ryo Yanase, and Naoki Suganuma, “Fast 3D Object Detection for 4D Imaging Radar Integrating Image Map Features Using Semi-Supervised Learning”, Proceedings of the 35th IEEE Intelligent Vehicles Symposium, Jeju, Korea, 2024.