133 citations · 467 across the 18 of their papers we have counts for
19 papers
3D Active Metric-Semantic SLAM
Yuezhan Tao, Xu Liu, Igor Spasojevic +2
In this letter, we address the problem of exploration and metric-semantic mapping of multi-floor GPS-denied indoor environments using Size Weight and Power (SWaP) constrained aeria…
Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles
Igor Spasojevic, Xu Liu, Ankit Prabhu +3
This paper addresses the problem of active collaborative localization in heterogeneous robot teams with unknown data association. It involves positioning a small number of identica…
Active Collaborative Localization in Heterogeneous Robot Teams
Igor Spasojevic, Xu Liu, Alejandro Ribeiro +2
Accurate and robust state estimation is critical for autonomous navigation of robot teams. This task is especially challenging for large groups of size, weight, and power (SWAP) co…
Quantum Induced Coherence Light Detection and Ranging
Gewei Qian, Xingqi Xu, Shun-An Zhu +6
Quantum illumination has been proposed and demonstrated to improve the signal-to-noise ratio (SNR) in light detection and ranging (LiDAR). When relying on coincidence detection, su…
DWRSeg: Rethinking Efficient Acquisition of Multi-scale Contextual Information for Real-time Semantic Segmentation
Haoran Wei, Xu Liu, Shouchun Xu +3
Many current works directly adopt multi-rate depth-wise dilated convolutions to capture multi-scale contextual information simultaneously from one input feature map, thus improving…
Active Metric-Semantic Mapping by Multiple Aerial Robots
Xu Liu, Ankit Prabhu, Fernando Cladera +4
Traditional approaches for active mapping focus on building geometric maps. For most real-world applications, however, actionable information is related to semantically meaningful…
Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network
Xu Liu, Wen Yao, Xiaohu Zheng +1
In the complex multi-state system (MSS), reliability analysis is a significant research content, both for equipment design, manufacturing, usage and maintenance. Universal Generati…
Phase retrieval of programmable photonic integrated circuits based on an on-chip fractional-delay reference path
Xingyuan Xu, Guanghui Ren, Aditya Dubey +5
Programmable photonic integrated circuits (PICs), offering diverse signal processing functions within a single chip, are promising solutions for applications ranging from optical c…
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data
Xu Liu, Wen Yao, Wei Peng +1
Physics-informed extreme learning machine (PIELM) has recently received significant attention as a rapid version of physics-informed neural network (PINN) for solving partial diffe…
Experiments in Adaptive Replanning for Fast Autonomous Flight in Forests
Laura Jarin-Lipschitz, Xu Liu, Yuezhan Tao +1
Fast, autonomous flight in unstructured, cluttered environments such as forests is challenging because it requires the robot to compute new plans in realtime on a computationally-c…
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving
Fei Gao, Peng Geng, Jiaqi Guo +7
We introduce ApolloRL, an open platform for research in reinforcement learning for autonomous driving. The platform provides a complete closed-loop pipeline with training, simulati…
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks
Xu Liu, Wei Peng, Zhiqiang Gong +2
Temperature field inversion of heat-source systems (TFI-HSS) with limited observations is essential to monitor the system health. Although some methods such as interpolation have b…
Optical Adaptive LMS Equalizer with an Opto-electronic Feedback Loop
Xumeng Liu, Xingyuan Xu, Arthur James Lowery
We propose a photonic adaptive Least-Mean-Squares equalizer with an opto-electronic feedback loop to determine the updating of an optical Finite-Impulse-Response filter's weights,…
Place Recognition in Forests with Urquhart Tessellations
Guilherme V. Nardari, Avraham Cohen, Steven W. Chen +4
In this letter, we present a novel descriptor based on Urquhart tessellations derived from the position of trees in a forest. We propose a framework that uses these descriptors to…
Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding
Jun Qi, Xu Liu, Javier Tejedor
This paper proposes to generalize the variational recurrent neural network (RNN) with variational inference (VI)-based dropout regularization employed for the long short-term memor…
PolSF: PolSAR image dataset on San Francisco
Xu Liu, Licheng Jiao, Fang Liu
Polarimetric SAR data has the characteristics of all-weather, all-time and so on, which is widely used in many fields. However, the data of annotation is relatively small, which is…
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine
Xu Liu, Licheng Jiao, Dan Zhang +1
POLSAR image has an advantage over optical image because it can be acquired independently of cloud cover and solar illumination. PolSAR image classification is a hot and valuable t…
Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images
Lin Cheng, Xu Liu, Lingling Li +2
Object detection is a fundamental and challenging problem in aerial and satellite image analysis. More recently, a two-stage detector Faster R-CNN is proposed and demonstrated to b…
Polarimetric Convolutional Network for PolSAR Image Classification
Xu Liu, Licheng Jiao, Xu Tang +2
The approaches for analyzing the polarimetric scattering matrix of polarimetric synthetic aperture radar (PolSAR) data have always been the focus of PolSAR image classification. Ge…