133 citations · 467 across the 18 of their papers we have counts for
9 papers · 1 filter
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…