17 citations · 39 across the 13 of their papers we have counts for
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cs.AR2022
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…
cs.AR2021★ 1 cited
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…
cs.AR2021★ 4 cited
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…