Intelligent Navigation and Mapping Lab

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The Intelligent Navigation and Mapping Lab is led by Dr. Hongzhou Yang at the University of Calgary, specializes in developing advanced navigation and mapping technologies for autonomous systems through sensor integration and machine learning. The lab integrates multiple sensors, including GNSS, IMU, camera, LiDAR, radar, and odometer, to provide reliable and precise navigation and mapping solutions. Machine learning algorithms are also employed to enhance these systems, ensuring scalability and efficiency in autonomous navigation and mapping technologies.

news

Dec 16, 2024 Year-end Group Dinner at Happy Lamb Hot Pot! We had a wonderful afternoon celebrating the achievements of the year with great food and even better company. This year, we were joined by new faces: Ananya (not in the picture due to travelling), Paul, Shichuang, and Daiwuran, who have brought fresh perspectives and energy to the group. A special shout-out to Shuai, who was the MVP of the buffet today! Here’s to a productive and exciting new year ahead.
Oct 04, 2024 We were thrilled to welcome Li-Ta during his recent visit to our team. His presence provided an excellent opportunity to exchange ideas, discuss ongoing projects, and explore potential collaborations. As part of his visit, Li-Ta delivered insightful guest lectures, sharing his research journey and expertise. His engaging presentation captivated the team and students, sparking meaningful discussions that continued well beyond the lecture. We greatly value the knowledge and inspiration gained from his visit and look forward to future collaborations, building upon the strong connections established.
Jul 08, 2024 We are excited to share that Louise, Favour, and Rebekah have already joined our research group this summer. Louise is visiting us from Hong Kong PolyU with the UG Summer Research Abroad Sponsorship (USRA), while Favour and Rebekah have joined funded by the Women in Science and Engineering (WISE) project. Additionally, earlier this summer, three more research students—Raymond, Bosco, and Trevor—joined our group. Raymond and Bosco are recipients of the NSERC Undergraduate Student Research Award, and Trevor is funded through SSE.
Jul 03, 2024 Congratulations to Qiaozhuang! His latest paper “Credible positioning of BDS RTK/INS integration based on multi-information cross-validation” was accepted by the IEEE Transactions on Intelligent Transportation Systems, cheers!
Jun 16, 2024 The data collection platform is ready for the first road test with multiple sensors onboard, including the GNSS, IMU, camera, LiDAR and MCU.

selected publications

2024

  1. Evaluation of the Multi-GNSS, Dual-Frequency RTK Positioning Performance for Recent Android Smartphone Models in a Phone-to-Phone Setup
    Robert Odolinski, Hongzhou Yang, Li-Ta Hsu, and 3 more authors
    In Proceedings of the 2024 International Technical Meeting of The Institute of Navigation , 2024
  2. A Hopular based weighting scheme for improving kinematic GNSS positioning in deep urban canyon
    Zelin Zhou, Baoyu Liu, and Hongzhou Yang
    Measurement Science and Technology, 2024

2023

  1. A consistent and grid-based regional slant ionospheric model with an increasing number of satellite corrections for PPP-RTK
    Sijie Lyu, Yan Xiang, Yi Zhang, and 4 more authors
    GPS Solutions, 2023

2019

  1. A new datum jump detection and mitigation method of Real-Time Service (RTS) clock products
    Liang Zhang, Hongzhou Yang, Yibin Yao, and 2 more authors
    GPS Solutions, 2019

2017

  1. Keynote: Analysis of the Extended Orbit and Clock Corrections for Real-Time PPP
    Hongzhou Yang, Yang Gao, Chaoqian Xu, and 1 more author
    In Proceedings of the ION 2017 Pacific PNT Meeting , 2017