activity
20202022
most citedUnderstanding Time Variations of DNN Inference in Autonomous Driving

10 citations · 13 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO20221 cited

INTERNEURON: A Middleware with Multi-Network Communication Reliability for Infrastructure Vehicle Cooperative Autonomous Driving

Tianze Wu, Shaoshan Liu, Bo Yu +3

Infrastructure-Vehicle Cooperative Autonomous Driving (IVCAD) is a new paradigm of autonomous driving, which relies on the cooperation between intelligent roads and autonomous vehi…

cs.LG202210 cited

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…

cs.RO2022

Edge Coverage Path Planning for Robot Mowing

Zhaofeng Tian, Weisong Shi

Thanks to the rapid evolvement of robotic technologies, robot mowing is emerging to liberate humans from the tedious and time-consuming landscape work. Traditionally, robot mowing…

cs.RO2022

Design and Implement an Enhanced Simulator for Autonomous Delivery Robot

Zhaofeng Tian, Weisong Shi

As autonomous driving technology is getting more and more mature today, autonomous delivery companies like Starship, Marble, and Nuro has been making progress in the tests of their…

cs.CV2021

Reinforcement Learning for Adaptive Video Compressive Sensing

Sidi Lu, Xin Yuan, Aggelos K Katsaggelos +1

We apply reinforcement learning to video compressive sensing to adapt the compression ratio. Specifically, video snapshot compressive imaging (SCI), which captures high-speed video…

cs.DC20202 cited

WatchDog: Real-time Vehicle Tracking on Geo-distributed Edge Nodes

Zheng Dong, Yan Lu, Guangmo Tong +3

Vehicle tracking, a core application to smart city video analytics, is becoming more widely deployed than ever before thanks to the increasing number of traffic cameras and recent…