Ni Zhu

According to our database, Ni Zhu authored at least 30 papers between 2015 and 2025.

Collaborative distances:

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

2025

Dynamic Process Noise Covariance Adjustment in GNSS/INS Integrated Navigation Using GRU-SAC for Enhanced Positioning Accuracy.

Haowen Wang, Junyu Wei, Jiangyi Qin, Ni Zhu, Meilin Ren, Zongqing Zhao, Liushun Hu

IEEE Trans. Intell. Transp. Syst., June, 2025

CarNet: A generative convolutional neural network-based line-of-sight/non-line-of-sight classifier for global navigation satellite systems by transforming multivariate time-series data into images.

Ni Zhu, Ruiwen He, Zhiqiang Wang

Eng. Appl. Artif. Intell., 2025

FGO-based Integrity Monitoring for Urban Positioning with Dynamic Covariance Scaling.

Oussama Tahri, Ni Zhu, David Bétaille

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025

Anomaly Filtering for Pedestrian Dead Reckoning Using Segment-Based Autoencoders.

Mohamad Issam Sayyaf, Ni Zhu, Valérie Renaudin

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025

GNSS Fault Rejection Using Robust Kalman Filter with Integrity Indicator-Constrained Innovation Adaptive Adjustment.

Yingying Jiang, Ni Zhu, Valérie Renaudin

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025

Comparison of GNSS LOS/NLOS Labeling Techniques Based on a 3D model and Sky View Imagery for Soft Mobility and Vehicle Data in Urban Areas.

Benjamin Beaucamp, Thomas Leduc, Myriam Servières, Ni Zhu

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025

A Simplified Solution Separation Method for GNSS Fault Detection in Challenging Environments.

Yingying Jiang, Ni Zhu, Valérie Renaudin

Proceedings of the International Conference on Localization and GNSS, 2025

2024

Datasets and Supporting Materials for the IPIN 2024 Competition Track 4 (Foot-Mounted IMU based Positioning, offsite-online).

Miguel Ortiz, Ziyou Li, Ni Zhu, Valérie Renaudin, Francesco Potorti, Joaquín Torres-Sospedra

Dataset, December, 2024

MAPIN: Mobility Adapted Pedestrian Inertial Navigation Using Smartphones for Enhanced Travel of the Visually Impaired.

Hanyuan Fu, Valérie Renaudin, Thomas Bonis, Ni Zhu

Proceedings of the 14th International Conference on Indoor Positioning and Indoor Navigation, 2024

2023

Datasets and Supporting Materials for the IPIN 2023 Competition Track 4 (Foot-Mounted IMU based Positioning, offsite-online).

Miguel Ortiz, Ni Zhu, Ziyou Li, Valérie Renaudin, Joaquín Torres-Sospedra, Antonino Crivello, Francesco Potorti

Dataset, October, 2023

Signal Processing and Machine Learning for Smart Sensing Applications.

Ying-Ren Chien, Mu Zhou, Ao Peng, Ni Zhu, Joaquín Torres-Sospedra

Sensors, February, 2023

Evaluation of the Human Body Mask Effects on GNSS Wearable Devices for Outdoor Pedestrian Navigation Using Fisheye Sky Views.

Ni Zhu, Athanase Bouronopoulos, Thomas Leduc, Myriam Servières, Valérie Renaudin

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

Investigations on pedestrian long-term trajectory prediction based on AI and environmental maps.

Susanna Kaiser, Pierre Baudet, Ni Zhu, Valérie Renaudin

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

A Computer Vision Approach for Pedestrian Walking Direction Estimation with Wearable Inertial Sensors: PatternNet.

Hanyuan Fu, Thomas Bonis, Valérie Renaudin, Ni Zhu

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

Understanding and Using Spatial Landmarks of Visually Impaired People for Navigation Applications.

Min Wang, Ni Zhu, Valérie Renaudin, Aurélie Dommes, Myriam Servières

Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

LIGHT-PDR: Light Indoor GNSS Carrier Phase Positioning with Machine Learning and Inertial Signal Fusion for Pedestrian Navigation.

Ziyou Li, Ni Zhu, Valérie Renaudin

Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

Investigating the Impact of Outfits on AI-Based Pedestrian Dead Reckoning with a Wearable Inertial Sensor Placed in the Pocket.

Hanyuan Fu, Valérie Renaudin, Thomas Bonis, Ni Zhu

Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

A Portfolio of Machine Learning-Based GNSS LOS/NLOS Classification in Urban Environments.

Ni Zhu, Chaimae Belemoualem, Valérie Renaudin

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022

Energy-Efficient Mobile Edge Computing Under Delay Constraints.

Zhidu Li, Ni Zhu, Dapeng Wu, Honggang Wang, Ruyan Wang

IEEE Trans. Green Commun. Netw., 2022

A Survey on Artificial Intelligence for Pedestrian Navigation with Wearable Inertial Sensors.

Hanyuan Fu, Yacouba Kone, Valérie Renaudin, Ni Zhu

Proceedings of the 12th IEEE International Conference on Indoor Positioning and Indoor Navigation, 2022

Velocity Protection Level for Wearable Devices on TDCP-based Pedestrian Navigation.

Ziyou Li, Ni Zhu, Valérie Renaudin

Proceedings of the 2022 International Conference on Localization and GNSS, 2022

2021

Foot-mounted INS for Resilient Real-time Positioning of Soldiers in Non-collaborative Indoor Surroundings.

Ni Zhu, Valérie Renaudin, Miguel Ortiz, Yacouba Kone, Cécile Ichard, Sander Ricou, Frédéric Gueit

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2021

2020

GNSS Integrity Monitoring Schemes for Terrestrial Applications in Harsh Signal Environments.

Ni Zhu, David Bétaille, Juliette Marais, Marion Berbineau

IEEE Intell. Transp. Syst. Mag., 2020

2019

Seamless Indoor-Outdoor Infrastructure-free Navigation for Pedestrians and Vehicles with GNSS-aided Foot-mounted IMU.

Ni Zhu, Miguel Ortiz, Valérie Renaudin

Proceedings of the 2019 International Conference on Indoor Positioning and Indoor Navigation, 2019

2018

GNSS Position Integrity in Urban Environments: A Review of Literature.

Ni Zhu, Juliette Marais, David Bétaille, Marion Berbineau

IEEE Trans. Intell. Transp. Syst., 2018

Extended Kalman Filter (EKF) Innovation-Based Integrity Monitoring Scheme with C / N0 Weighting.

Ni Zhu, David Bétaille, Juliette Marais, Marion Berbineau

Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

2016

The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data.

Niall Twomey, Tom Diethe, Meelis Kull, Hao Song, Massimo Camplani, Sion L. Hannuna, Xenofon Fafoutis, Ni Zhu, Pete Woznowski, Peter A. Flach, Ian Craddock

CoRR, 2016

2015

Bridging e-Health and the Internet of Things: The SPHERE Project.

Ni Zhu, Tom Diethe, Massimo Camplani, Lili Tao, Alison Burrows, Niall Twomey, Dritan Kaleshi, Majid Mirmehdi, Peter A. Flach, Ian Craddock

IEEE Intell. Syst., 2015

Agent-based decentralised data-acquisition and time-synchronisation in critical healthcare applications.

Mo Haghighi, Pete Woznowski, Ni Zhu, Evgeny Tsimbalo, Sion L. Hannuna, Alison Burrows, Bo Tan, Lili Tao, Robert J. Piechocki

Proceedings of the 2nd IEEE World Forum on Internet of Things, 2015

A multi-modal sensor infrastructure for healthcare in a residential environment.

Przemyslaw Woznowski, Xenofon Fafoutis, Terence Song, Sion L. Hannuna, Massimo Camplani, Lili Tao, Adeline Paiement, Evangelos Mellios, Mo Haghighi, Ni Zhu, Geoffrey S. Hilton, Dima Damen, Tilo Burghardt, Majid Mirmehdi, Robert J. Piechocki, Dritan Kaleshi, Ian Craddock

Proceedings of the IEEE International Conference on Communication, 2015