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About Deep Continuous Fusion
This paper proposes a novel 3D object detector that fuses camera and LIDAR sensor data through continuous convolutions. It designs an end-to-end architecture that projects image features into bird's eye view space and fuses them with LIDAR features at multiple levels of resolution, using a continuous fusion layer. This enables joint reasoning over the two sensor modalities for more accurate 3D object detection compared to prior work. Experiments on KITTI and other benchmarks show significant improvements over state-of-the-art methods.
Detailed Information
| Author: | ['Manoj Bhat'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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