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Found 4 papers, 0 papers with code
3D Reconstruction of Multiple Objects by mmWave Radar on UAV
The radar data is sent to a deep neural network model, which outputs the point cloud reconstruction of the multiple objects in the space.
R2P: A Deep Learning Model from mmWave Radar to Point Cloud
Recent research has shown the effectiveness of mmWave radar sensing for object detection in low visibility environments, which makes it an ideal technique in autonomous navigation systems.
DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar
Built on our recent proposed 3DRIMR (3D Reconstruction and Imaging via mmWave Radar), we introduce in this paper DeepPoint, a deep learning model that generates 3D objects in point cloud format that significantly outperforms the original 3DRIMR design.
3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning
In this paper we propose 3D Reconstruction and Imaging via mmWave Radar (3DRIMR), a deep learning based architecture that reconstructs 3D shape of an object in dense detailed point cloud format, based on sparse raw mmWave radar intensity data.
