GitHub

RadarMOTR: Multi-Object Tracking with Transformers on Range-Doppler Maps

RadarMOTR is a transformer neural network based on MOTRv2 able to track multiple objects in Range-Doppler maps. Objects are first detected by an external detector based on CFAR & DBSCAN clustering.
GitHub

How to: Bind a Worksheet to a Generic List or a BindingList Data Source

Use the WorksheetDataBindingCollection.BindToDataSource method to bind data to the range, and the WorksheetDataBindingCollection.BindTableToDataSource method to bind data to the worksheet table. The ...
IEEE

Robust Object Tracking via Long-Range Spatial Representation and Local Feature Enhancement

Abstract: Despite the excellent performance achieved by Siamese tracking in most scenarios, its performance remains unsatisfactory in some scenarios. Traditional convolutional operations tend to use a ...
IEEE

Range-Aware Attention Network for LiDAR-Based 3D Object Detection With Auxiliary Point Density Level Estimation

Abstract: 3D object detection from LiDAR data for autonomous driving has been making remarkable strides in recent years. Among the state-of-the-art methodologies, encoding point clouds into a bird's ...