23 citations · 158 across the 38 of their papers we have counts for
9 papers · 1 filter
Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card
Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan +5
Autonomous driving is of great interest in both research and industry. The high cost has been one of the major roadblocks that slow down the development and adoption of autonomous…
Dataflow Accelerator Architecture for Autonomous Machine Computing
Shaoshan Liu, Yuhao Zhu, Bo Yu +2
Commercial autonomous machines is a thriving sector, one that is likely the next ubiquitous computing platform, after Personal Computers (PC), cloud computing, and mobile computing…
4C: A Computation, Communication, and Control Co-Design Framework for CAVs
Liangkai Liu, Shaoshan Liu, Weisong Shi
Connected and autonomous vehicles (CAVs) are promising due to their potential safety and efficiency benefits and have attracted massive investment and interest from government agen…
Rise of the Autonomous Machines
Shaoshan Liu, Jean-Luc Gaudiot
After decades of uninterrupted progress and growth, information technology has so evolved that it can be said we are entering the age of autonomous machines, but there exist many r…
iELAS: An ELAS-Based Energy-Efficient Accelerator for Real-Time Stereo Matching on FPGA Platform
Tian Gao, Zishen Wan, Yuyang Zhang +4
Stereo matching is a critical task for robot navigation and autonomous vehicles, providing the depth estimation of surroundings. Among all stereo matching algorithms, Efficient Lar…
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform
Zishen Wan, Yuyang Zhang, Arijit Raychowdhury +3
In our past few years' of commercial deployment experiences, we identify localization as a critical task in autonomous machine applications, and a great acceleration target. In thi…
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…
Engineering Education in the Age of Autonomous Machines
Shaoshan Liu, Jean-Luc Gaudiot, Hironori Kasahara
In the past few years, we have observed a huge supply-demand gap for autonomous driving engineers. The core problem is that autonomous driving is not one single technology but rath…