283 citations · 361 across the 11 of their papers we have counts for
12 papers
E-UAV: An Edge-based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles
Jiashun Suo, Xingzhou Zhang, Weisong Shi +1
Motivated by the advances in deep learning techniques, the application of Unmanned Aerial Vehicle (UAV)-based object detection has proliferated across a range of fields, including…
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…
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…
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…
Unguided Self-exploration in Narrow Spaces with Safety Region Enhanced Reinforcement Learning for Ackermann-steering Robots
Zhaofeng Tian, Zichuan Liu, Xingyu Zhou +1
In narrow spaces, motion planning based on the traditional hierarchical autonomous system could cause collisions due to mapping, localization, and control noises, especially for ca…
Fall Detection from Audios with Audio Transformers
Prabhjot Kaur, Qifan Wang, Weisong Shi
Fall detection for the elderly is a well-researched problem with several proposed solutions, including wearable and non-wearable techniques. While the existing techniques have exce…
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…
HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection
Jiashun Suo, Tianyi Wang, Xingzhou Zhang +3
We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs). The dataset comprises 2,898 infrared…
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach
Qisheng He, Weisong Shi, Ming Dong
As a deep learning model typically contains millions of trainable weights, there has been a growing demand for a more efficient network structure with reduced storage space and imp…
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…
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…
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning
Fuxun Yu, Di Wang, Yinpeng Chen +7
Current state-of-the-art object detectors can have significant performance drop when deployed in the wild due to domain gaps with training data. Unsupervised Domain Adaptation (UDA…