25 citations · 51 across the 8 of their papers we have counts for
8 papers
Enhancing Predictability of Multi-Tenant DNN Inference for Autonomous Vehicles' Perception
Liangkai Liu, Kang G. Shin, Jinkyu Lee +2
Autonomous vehicles (AVs) rely on sensors and deep neural networks (DNNs) to perceive their surrounding environment and make maneuver decisions in real time. However, achieving rea…
Power-Efficient Autonomous Mobile Robots
Liangkai Liu, Weisong Shi, Kang G. Shin
This paper presents pNav, a novel power-management system that significantly enhances the power/energy-efficiency of Autonomous Mobile Robots (AMRs) by jointly optimizing their phy…
AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge
Chao Wu, Yifan Gong, Liangkai Liu +7
Object detection on the edge (Edge-OD) is in growing demand thanks to its ever-broad application prospects. However, the development of this field is rigorously restricted by the d…
Understanding Time Variations of DNN Inference in Autonomous Driving
Liangkai Liu, Yanzhi Wang, Weisong Shi
Deep neural networks (DNNs) are widely used in autonomous driving due to their high accuracy for perception, decision, and control. In safety-critical systems like autonomous drivi…
A Pulse-and-Glide-driven Adaptive Cruise Control System for Electric Vehicle
Zhaofeng Tian, Liangkai Liu, Weisong Shi
As the adaptive cruise control system (ACCS) on vehicles is well-developed today, vehicle manufacturers have increasingly employed this technology in new-generation intelligent veh…
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…
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
Liangkai Liu, Sidi Lu, Ren Zhong +4
The recent proliferation of computing technologies (e.g., sensors, computer vision, machine learning, and hardware acceleration), and the broad deployment of communication mechanis…
OpenEI: An Open Framework for Edge Intelligence
Xingzhou Zhang, Yifan Wang, Sidi Lu +3
In the last five years, edge computing has attracted tremendous attention from industry and academia due to its promise to reduce latency, save bandwidth, improve availability, and…