23 citations · 57 across the 14 of their papers we have counts for
14 papers
Infrastructure First: Enabling Embodied AI for Science in the Global South
Shaoshan Liu, Jie Tang, Marwa S. Hassan +4
Embodied AI for Science (EAI4S) brings intelligence into the laboratory by uniting perception, reasoning, and robotic action to autonomously run experiments in the physical world.…
A Standards-Aligned Coordination Framework for Edge-Enhanced Collaborative Healthcare in 6G Networks
Liuwang Kang, Fan Wang, Yuzhang Huang +6
Mission-critical healthcare applications including real-time intensive care monitoring, ambulance-to-hospital orchestration, and distributed medical imaging inference require workf…
AICOM-MP: an AI-based Monkeypox Detector for Resource-Constrained Environments
Tim Tianyi Yang, Tom Tianze Yang, Andrew Liu +4
Under the Autonomous Mobile Clinics (AMCs) initiative, we are developing, open sourcing, and standardizing health AI technologies to enable healthcare access in least developed cou…
Brief Industry Paper: The Necessity of Adaptive Data Fusion in Infrastructure-Augmented Autonomous Driving System
Shaoshan Liu, Jianda Wang, Zhendong Wang +7
This paper is the first to provide a thorough system design overview along with the fusion methods selection criteria of a real-world cooperative autonomous driving system, named I…
The Matter of Time -- A General and Efficient System for Precise Sensor Synchronization in Robotic Computing
Shaoshan Liu, Bo Yu, Yahui Liu +5
Time synchronization is a critical task in robotic computing such as autonomous driving. In the past few years, as we developed advanced robotic applications, our synchronization s…
Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
Shaoshan Liu, Bo Yu, Jie Tang +1
The infrastructure-vehicle cooperative autonomous driving approach depends on the cooperation between intelligent roads and intelligent vehicles. This approach is not only safer bu…
On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study
Bo Yu, Jie Tang, Shaoshan Liu
PerceptIn develops and commercializes autonomous vehicles for micromobility around the globe. This paper makes a holistic summary of PerceptIn's development and operating experienc…
An Energy-Efficient High Definition Map Data Distribution Mechanism for Autonomous Driving
Jinliang Xie, Jie Tang, Shaoshan Liu
Autonomous Driving is now the promising future of transportation. As one basis for autonomous driving, High Definition Map (HD map) provides high-precision descriptions of the envi…
A Survey of FPGA-Based Robotic Computing
Zishen Wan, Bo Yu, Thomas Yuang Li +5
Recent researches on robotics have shown significant improvement, spanning from algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged robots, dr…
A Data Streaming Process Framework for Autonomous Driving By Edge
Hang Zhao, Jie Tang
In recent years, with the rapid development of sensing technology and the Internet of Things (IoT), sensors play increasingly important roles in traffic control, medical monitoring…
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…
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…