Name
Title | ||
|---|---|---|
Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search |
Abstract | ||
|---|---|---|
In autonomous driving, 3D object detection is es-sential as it provides basic knowledge about the environment. However, as deep learning based 3D detection methods are usually computation intensive, it is challenging to support realtime 3D object detection on edge-computing devices in selfdriving cars with limited computation and memory resources. To facilitate this, we propose a compiler-aware pr... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/RTAS52030.2021.00043 | 2021 IEEE 27th Real-Time and Embedded Technology and Applications Symposium (RTAS) |
Keywords | DocType | ISSN |
Performance evaluation,Solid modeling,Three-dimensional displays,Object detection,Search problems,Real-time systems,Mobile handsets | Conference | 1545-3421 |
ISBN | Citations | PageRank |
978-1-6654-0386-3 | 0 | 0.34 |
References | Authors | |
0 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pu Zhao | 1 | 32 | 11.73 |
| Wei Niu | 2 | 24 | 11.21 |
| Geng Yuan | 3 | 9 | 3.80 |
| Yuxuan Cai | 4 | 1 | 1.37 |
| Hsin-Hsuan Sung | 5 | 1 | 0.68 |
| Shaoshan Liu | 6 | 257 | 35.10 |
| Sijia Liu | 7 | 181 | 42.37 |
| Xipeng Shen | 8 | 2025 | 118.55 |
| Bin Ren | 9 | 82 | 18.03 |
| Yanzhi Wang | 10 | 1082 | 136.11 |
| Xue Lin | 11 | 8 | 1.24 |