首页|New Findings from Shanghai University Describe Advances in Cyborg and Bionic Systems (Camera-Radar Fusion with Modality Interaction and Radar Gaussian Expansion for 3D Object Detection)
New Findings from Shanghai University Describe Advances in Cyborg and Bionic Systems (Camera-Radar Fusion with Modality Interaction and Radar Gaussian Expansion for 3D Object Detection)
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NETL
NSTL
Amer Assoc Advancement Science
Researchers detail new data in cyborg and bionic systems. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “The fusion of millimeterwave radar and camera modalities is crucial for improving the accuracy and completeness of 3-dimensional (3D) object detection.” Financial supporters for this research include Shanghai Sailing Program; National Natural Science Foundation of China. The news reporters obtained a quote from the research from Shanghai University: “Most existing methods extract features from each modality separately and conduct fusion with specifically designed modules, potentially resulting in information loss during modality transformation. To address this issue, we propose a novel framework for 3D object detection that iteratively updates radar and camera features through an interaction module. This module serves a dual purpose by facilitating the fusion of multimodal data while preserving the original features. Specifically, radar and image features are sampled and aggregated with a set of sparse 3D object queries, while retaining the integrity of the original radar features to prevent information loss. Additionally, an innovative radar augmentation technique named Radar Gaussian Expansion is proposed. This module allocates radar measurements within each voxel to neighboring ones as a Gaussian distribution, reducing association errors during projection and enhancing detection accuracy.”
Shanghai UniversityShanghaiPeople’s Republic of ChinaAsiaCyborg and Bionic SystemsTechnology
NETL
NSTL
Amer Assoc Advancement Science
