Name
Abstract | ||
|---|---|---|
•A multisensor and multimodal fusion system for vehicle detection is proposed.•A less explored LIDAR reflection is investigated for vehicle detection.•A late-fusion is proposed based on joint re-scoring and non-maximum suppression.•The fusion method shows higher accuracy than each modality alone in KITTI dataset. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patrec.2017.09.038 | Pattern Recognition Letters |
Keywords | Field | DocType |
Multimodal data,Deep learning,Object detection,Fusion | Computer vision,Object detection,Pattern recognition,Convolutional neural network,Lidar,Artificial intelligence,Deep learning,Monocular,Artificial neural network,Mathematics,Color image,Minimum bounding box | Journal |
Volume | ISSN | Citations |
115 | 0167-8655 | 14 |
PageRank | References | Authors |
0.62 | 25 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| alireza asvadi | 1 | 45 | 5.92 |
| Luis Garrote | 2 | 29 | 3.73 |
| Cristiano Premebida | 3 | 237 | 20.37 |
| Paulo Peixoto | 4 | 195 | 18.86 |
| Urbano Nunes | 5 | 867 | 72.37 |