Name
Title | ||
|---|---|---|
Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card |
Abstract | ||
|---|---|---|
In the past few years we have developed hardware computing systems for commercial autonomous vehicles, but inevitably the high development cost and long turn-around time have been major roadblocks for commercial deployment. Hence we also explored the potential of software optimization. This paper, for the first-time, shows that it is feasible to enable full leve1-4 autonomous driving workloads on a single off-the-shelf card (Jetson AGX Xavier) for less than ${\$}1\mathrm{k}$, an order of magnitude less than the state-of-the-art systems, while meeting all the requirements of latency. The success comes from the resolution of some important issues shared by existing practices through a series of measures and innovations. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/RTAS54340.2022.00032 | 2022 IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS) |
Keywords | DocType | ISSN |
hardware computing systems,commercial autonomous vehicles,software optimization,Jetson AGX Xavier,level-4 autonomous driving,single $1k off-the-shelf card | Conference | 1545-3421 |
ISBN | Citations | PageRank |
978-1-6654-9999-6 | 1 | 0.34 |
References | Authors | |
2 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsin-Hsuan Sung | 1 | 1 | 0.68 |
| Yuanchao Xu | 2 | 6 | 3.77 |
| Jiexiong Guan | 3 | 2 | 2.38 |
| Wei Niu | 4 | 24 | 11.21 |
| Bin Ren | 5 | 6 | 7.03 |
| Yanzhi Wang | 6 | 1082 | 136.11 |
| Shaoshan Liu | 7 | 1 | 0.34 |
| Xipeng Shen | 8 | 2025 | 118.55 |