Name
Abstract | ||
|---|---|---|
Object detection using automotive radars has not been explored with deep learning models in comparison to the camera based approaches. This can be attributed to the lack of public radar datasets. In this paper, we collect a novel radar dataset that contains radar data in the form of Range-AzimuthDoppler tensors along with the bounding boxes on the tensor for dynamic road users, category labels, an... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CRV52889.2021.00021 | 2021 18th Conference on Robots and Vision (CRV) |
Keywords | DocType | ISBN |
Deep learning,Three-dimensional displays,Tensors,Roads,Radar detection,Radar,Object detection | Conference | 978-1-6654-1413-5 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ao zhang | 1 | 6 | 7.89 |
| Farzan Erlik Nowruzi | 2 | 3 | 2.42 |
| Robert Laganière | 3 | 300 | 35.20 |