Changhao Chen

According to our database, Changhao Chen authored at least 52 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Learning for Visual Localization and Mapping: A Survey.

Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Concertorl: A reinforcement learning approach for finite-time single-life enhanced control and its application to direct-drive tandem-wing experiment platforms.

Minghao Zhang, Bifeng Song, Changhao Chen, Xinyu Lang, Liang Wang

Appl. Intell., December, 2024

SmokeNav: Millimeter-Wave-Radar/Inertial Measurement Unit Integrated Positioning and Semantic Mapping in Visually Degraded Environments for First Responders.

Changhao Chen, Zhiqiang Yao, Junlin Jiang, Xianfei Pan, Xiaofeng He, Ze Chen, Bing Wang

Adv. Intell. Syst., December, 2024

Multi-Directional Strain Measurement in Fiber-Reinforced Plastic Based on Birefringence of Embedded Fiber Bragg Grating.

Chunhua Zhou, Changhao Chen, Zilong Ye, Qi Wu, Ke Xiong

Sensors, October, 2024

Deep Learning for Inertial Positioning: A Survey.

Changhao Chen, Xianfei Pan

IEEE Trans. Intell. Transp. Syst., September, 2024

SelfOdom: Self-Supervised Egomotion and Depth Learning via Bi-Directional Coarse-to-Fine Scale Recovery.

Hao Qu, Lilian Zhang, Xiaoping Hu, Xiaofeng He, Xianfei Pan, Changhao Chen

IEEE Trans. Intell. Veh., May, 2024

Drone-NeRF: Efficient NeRF based 3D scene reconstruction for large-scale drone survey.

Zhihao Jia, Bing Wang, Changhao Chen

Image Vis. Comput., 2024

Matching Query Image Against Selected NeRF Feature for Efficient and Scalable Localization.

Huaiji Zhou, Bing Wang, Changhao Chen

CoRR, 2024

ConcertoRL: An Innovative Time-Interleaved Reinforcement Learning Approach for Enhanced Control in Direct-Drive Tandem-Wing Vehicles.

Minghao Zhang, Bifeng Song, Changhao Chen, Xinyu Lang

CoRR, 2024

DK-SLAM: Monocular Visual SLAM with Deep Keypoints Adaptive Learning, Tracking and Loop-Closing.

Hao Qu, Lilian Zhang, Jun Mao, Junbo Tie, Xiaofeng He, Xiaoping Hu, Yifei Shi, Changhao Chen

CoRR, 2024

HSTR: Hierarchical Scene Transformer for Multi-agent Trajectory Prediction.

Shuaiqi Fu, Yixuan Yang, Xiaoyang Luo, Changhao Chen, Yanan Zhao, Huachun Tan

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization.

Zhendong Xiao, Changhao Chen, Shan Yang, Wu Wei

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

ReLoc-PDR: Visual Relocalization Enhanced Pedestrian Dead Reckoning via Graph Optimization.

Zongyang Chen, Xianfei Pan, Changhao Chen

CoRR, 2023

2022

An improved point feature-based sparse stereo vision.

Changhao Chen, Bifeng Song, Shuhui Bu, Lei He

IET Image Process., 2022

Self-supervised Egomotion and Depth Learning via Bi-directional Coarse-to-Fine Scale Recovery.

Hao Qu, Lilian Zhang, Xiaoping Hu, Xiaofeng He, Xianfei Pan, Changhao Chen

CoRR, 2022

EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention.

Zheming Tu, Changhao Chen, Xianfei Pan, Ruochen Liu, Jiarui Cui, Jun Mao

CoRR, 2022

MaskVO: Self-Supervised Visual Odometry with a Learnable Dynamic Mask.

Weihao Xuan, Ruijie Ren, Siyuan Wu, Changhao Chen

Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

Multimodal Learning of Audio-Visual Speech Recognition with Liquid State Machine.

Xuhu Yu, Lei Wang, Changhao Chen, Junbo Tie, Shasha Guo

Proceedings of the Neural Information Processing - 29th International Conference, 2022

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.

Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning With Stochastic Guidance for Robot Navigation.

Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

IEEE Trans. Neural Networks Learn. Syst., 2021

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction.

Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Neural Network Based Inertial Odometry Using Low-Cost Inertial Measurement Units.

Changhao Chen, Chris Xiaoxuan Lu, Johan Wahlström, Andrew Markham, Niki Trigoni

IEEE Trans. Mob. Comput., 2021

Human tracking and identification through a millimeter wave radar.

Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni, Andrew Markham

Ad Hoc Networks, 2021

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching.

Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization.

Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning methods for robust localization.

Changhao Chen

PhD thesis, 2020

Hybrid Temperature and Stress Monitoring of Woven Fabric Thermoplastic Composite Using Fiber Bragg Grating Based Sensing Technique.

Changhao Chen, Qi Wu, Ke Xiong, Hongzhou Zhai, Nobuhiro Yoshikawa, Rong Wang

Sensors, 2020

DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination.

Muhamad Risqi Utama Saputra, Niki Trigoni, Pedro P. B. de Gusmao, Chris Xiaoxuan Lu, Yasin Almalioglu, Stefano Rosa, Changhao Chen, Johan Wahlström, Wei Wang, Andrew Markham

IEEE Robotics Autom. Lett., 2020

Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference.

Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni

IEEE Internet Things J., 2020

Finite field analogue of restriction theorem for general measures.

Changhao Chen

Finite Fields Their Appl., 2020

A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence.

Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham

CoRR, 2020

milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion.

Chris Xiaoxuan Lu, Muhamad Risqi Utama Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham

CoRR, 2020

MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization.

Rui Zhou, Changhao Chen, Bing Wang, Andrew Markham, Niki Trigoni

CoRR, 2020

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization.

Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni

CoRR, 2020

Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference.

Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni

CoRR, 2020

milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion.

Chris Xiaoxuan Lu, Muhamad Risqi Utama Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

See through smoke: robust indoor mapping with low-cost mmWave radar.

Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, John A. Stankovic, Niki Trigoni, Andrew Markham

Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

Heart Rate Sensing with a Robot Mounted mmWave Radar.

Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Changhao Chen, Linhai Xie, Mengyu Wang, Niki Trigoni, Andrew Markham

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

AtLoc: Attention Guided Camera Localization.

Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Autonomous Learning of Speaker Identity and WiFi Geofence From Noisy Sensor Data.

Chris Xiaoxuan Lu, Yuanbo Xiangli, Peijun Zhao, Changhao Chen, Niki Trigoni, Andrew Markham

IEEE Internet Things J., 2019

SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion.

Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham

CoRR, 2019

Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues.

Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni, John A. Stankovic

Proceedings of the World Wide Web Conference, 2019

DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network.

Wei Wang, Muhamad Risqi Utama Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

iSCAN: automatic speaker adaptation via iterative cross-modality association.

Yuanbo Xiangli, Chris Xiaoxuan Lu, Peijun Zhao, Changhao Chen, Andrew Markham

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

mID: Tracking and Identifying People with Millimeter Wave Radar.

Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni, Andrew Markham

Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

Selective Sensor Fusion for Neural Visual-Inertial Odometry.

Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

MotionTransformer: Transferring Neural Inertial Tracking between Domains.

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning with Stochastic Guidance for Navigation.

Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

CoRR, 2018

Transferring Physical Motion Between Domains for Neural Inertial Tracking.

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni

CoRR, 2018

OxIOD: The Dataset for Deep Inertial Odometry.

Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni

CoRR, 2018

Simultaneous Localization and Mapping with Power Network Electromagnetic Field.

Chris Xiaoxuan Lu, Yang Li, Peijun Zhao, Changhao Chen, Linhai Xie, Hongkai Wen, Rui Tan, Niki Trigoni

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

IONet: Learning to Cure the Curse of Drift in Inertial Odometry.

Changhao Chen, Xiaoxuan Lu, Andrew Markham, Niki Trigoni

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018