23 citations · 54 across the 13 of their papers we have counts for
5 papers · 1 filter
Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm
Shaoshan Liu, Bolin Ding, Jie Tang +4
The rise of robotic applications has led to the generation of a huge volume of unstructured data, whereas the current cloud infrastructure was designed to process limited amounts o…
Enabling Embedded Inference Engine with ARM Compute Library: A Case Study
Dawei Sun, Shaoshan Liu, Jean-Luc Gaudiot
When you need to enable deep learning on low-cost embedded SoCs, is it better to port an existing deep learning framework or should you build one from scratch? In this paper, we sh…
Implementing a Cloud Platform for Autonomous Driving
Shaoshan Liu, Jie Tang, Chao Wang +2
Autonomous driving clouds provide essential services to support autonomous vehicles. Today these services include but not limited to distributed simulation tests for new algorithm…
CAAD: Computer Architecture for Autonomous Driving
Shaoshan Liu, Jie Tang, Zhe Zhang +1
We describe the computing tasks involved in autonomous driving, examine existing autonomous driving computing platform implementations. To enable autonomous driving, the computing…
Embedded Systems Architecture for SLAM Applications
Jie Tang, Shaoshan Liu, Jean-Luc Gaudiot
In recent years, we have observed a clear trend in the rapid rise of autonomous vehicles, robotics, virtual reality, and augmented reality. The core technology enabling these appli…