23 citations · 85 across the 22 of their papers we have counts for
6 papers · 1 filter
An Energy-Efficient and Runtime-Reconfigurable FPGA-Based Accelerator for Robotic Localization Systems
Qiang Liu, Zishen Wan, Bo Yu +3
Simultaneous Localization and Mapping (SLAM) estimates agents' trajectories and constructs maps, and localization is a fundamental kernel in autonomous machines at all computing sc…
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…
Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines
Yiming Gan, Bo Yu, Boyuan Tian +7
We develop and commercialize autonomous machines, such as logistic robots and self-driving cars, around the globe. A critical challenge to our -- and any -- autonomous machine is a…
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…