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

RVMOS: Range-View Moving Object Segmentation Leveraged by Semantic and Motion Features

Abstract: Detecting traffic participants is an essential and age-old problem in autonomous driving. Recently, the recognition of moving objects has emerged as a major issue in this field for safe ...
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 ...