Name
Title | ||
|---|---|---|
Benchmark Analysis of Deep Learning-based 3D Object Detectors on NVIDIA Jetson Platforms |
Abstract | ||
|---|---|---|
3D object detection could be highly beneficial for autonomous driving of mobility platforms such as robots and drones. Since the function provides a one-shot inference that extracts 3D position with depth information and heading direction of neighboring objects, robots can generate a reliable path to navigate without a collision. In order to enable the smooth functioning of 3D object detection, th... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICTC52510.2021.9621072 | 2021 International Conference on Information and Communication Technology Convergence (ICTC) |
Keywords | DocType | ISSN |
Point cloud compression,Measurement,Deep learning,Three-dimensional displays,Object detection,Detectors,Benchmark testing | Conference | 2162-1233 |
ISBN | Citations | PageRank |
978-1-6654-2383-0 | 1 | 0.39 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Minjae Choe | 1 | 1 | 0.39 |
| Sukjun Lee | 2 | 1 | 0.39 |
| Nak-Myoung Sung | 3 | 1 | 0.39 |
| Sungwook Jung | 4 | 1 | 0.39 |
| Chungjae Choe | 5 | 1 | 0.39 |