Edge computing for autonomous driving: Opportunities and challenges

S Liu, L Liu, J Tang, B Yu, Y Wang… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Safety is the most important requirement for autonomous vehicles; hence, the ultimate
challenge of designing an edge computing ecosystem for autonomous vehicles is to deliver …

A survey of fpga-based robotic computing

Z Wan, B Yu, TY Li, J Tang, Y Zhu… - IEEE Circuits and …, 2021 - ieeexplore.ieee.org
Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …

Computer architectures for autonomous driving

S Liu, J Tang, Z Zhang, JL Gaudiot - Computer, 2017 - ieeexplore.ieee.org
To enable autonomous driving, a computing stack must simultaneously ensure high
performance, consume minimal power, and have low thermal dissipation-all at an …

Building the computing system for autonomous micromobility vehicles: Design constraints and architectural optimizations

B Yu, W Hu, L Xu, J Tang, S Liu… - 2020 53rd Annual IEEE …, 2020 - ieeexplore.ieee.org
This paper presents the computing system design in our commercial autonomous vehicles,
and provides a detailed performance, energy, and cost analyses. Drawing from our …

Cost-distance: Two metric network design

A Meyerson, K Munagala, S Plotkin - SIAM Journal on Computing, 2008 - SIAM
We present the Cost-Distance problem: finding a Steiner tree which optimizes the sum of
edge costs along one metric and the sum of source-sink distances along an unrelated …

Decoy: Deflection-driven hls-based computation partitioning for obfuscating intellectual property

J Chen, M Zaman, Y Makris… - 2020 57th ACM/IEEE …, 2020 - ieeexplore.ieee.org
Among various competing designs targeting similar functionality, the key differentiator
typically consists of a small amount of custom Intellectual Property (IP). To protect this IP …

Functional obfuscation of hardware accelerators through selective partial design extraction onto an embedded fpga

B Hu, J Tian, M Shihab, GR Reddy, W Swartz… - Proceedings of the …, 2019 - dl.acm.org
The protection of Intellectual Property (IP) has emerged as one of the most serious areas of
concern in the semiconductor industry. To address this issue, we present a method and …

Caad: Computer architecture for autonomous driving

S Liu, J Tang, Z Zhang, JL Gaudiot - arxiv preprint arxiv:1702.01894, 2017 - arxiv.org
We describe the computing tasks involved in autonomous driving, examine existing
autonomous driving computing platform implementations. To enable autonomous driving …

Towards dynamic and partial reconfigurable hardware architectures for cryptographic algorithms on embedded devices

A Alkamil, DG Perera - IEEE Access, 2020 - ieeexplore.ieee.org
In the era of IoT, embedded systems are becoming the cornerstone of many IoT related
applications, such as smart cars and wearable devices. However, embedded devices have …

RePaBit: Automated generation of relocatable partial bitstreams for **linx Zynq FPGAs

J Rettkowski, K Friesen… - … Computing and FPGAs …, 2016 - ieeexplore.ieee.org
Partial reconfiguration in FPGAs increases the flexibility of a system due to dynamic
replacement of hardware modules. However, more memory is needed to store all partial …