Taiyuan University of Technology, China
Profile
Scopus
Early Academic Pursuits 📚
Junbing Cheng’s academic journey began with his undergraduate studies at Xidian University, where he earned a Bachelor’s degree in Measurement and Control Technology and Instruments from 2003 to 2007. His early years laid the foundation for his deep understanding of electronics, control systems, and instrumentation, setting the stage for his later achievements in the fields of navigation and positioning technologies. Cheng’s keen interest in this area blossomed during his academic pursuits, and his focus remained firmly on applying advanced technologies to real-world challenges in navigation systems. His solid foundation in these areas provided the necessary skills for his later work in multi-source information fusion, positioning, and navigation systems.
Professional Endeavors and Contributions 🌍
After completing his Bachelor’s degree, Junbing Cheng continued his academic journey by pursuing a Doctorate in Electronic Science and Technology at Taiyuan University of Technology, which he completed in December 2019. His doctoral studies focused on enhancing positioning systems, especially in environments with GNSS (Global Navigation Satellite System) signal outages. This research led to the development of an adaptive integrated positioning method for urban vehicles using multi-task heterogeneous deep learning during GNSS outages, which was later published in the prestigious IEEE Sensors Journal in 2023. This work not only advanced the field of positioning technologies but also addressed a critical gap in urban vehicle navigation, where GNSS signals are often weak or unavailable.
Cheng’s professional work and research contributions extend beyond academia. He has taken on leadership roles such as the Deputy Director of the Shanxi Key Laboratory of Beidou Information Service Technology, where he plays a key role in advancing research in Beidou satellite technology and related information services. Additionally, as an Executive Member of the China Computer Federation (CCF) Internet of Things Committee, Cheng contributes to the development and direction of Internet of Things (IoT) research and policy in China, specifically focusing on positioning and navigation technology.
Research Focus and Innovation 🔬
Cheng’s research is at the forefront of solving complex issues related to positioning and navigation in modern urban environments. His primary research areas include multi-source information fusion, robot positioning, and navigation. One of his notable contributions is the development of an innovative adaptive integrated positioning method for urban vehicles, which is capable of maintaining high precision even during GNSS signal outages. This breakthrough uses deep learning algorithms to merge multiple sources of data, improving the reliability of vehicle navigation in challenging environments like urban canyons or tunnels.
In his earlier work, Cheng also developed a two-step fast acquisition method for GNSS signals based on compressive sensing. This method significantly improved the speed and efficiency of GNSS signal acquisition, reducing the time needed to establish a position fix. This work, published in Concurrency & Computation: Practice & Experience in 2019, is another testament to his innovative approach in addressing the challenges of GNSS technology, particularly in resource-constrained environments.
Accolades and Recognition 🏅
Junbing Cheng’s research achievements have been widely recognized within the academic and professional communities. His contributions to the field of navigation and positioning technology have earned him a reputation as an expert in the field. His publication in the IEEE Sensors Journal was particularly well-received, as it presented a cutting-edge solution to the problem of GNSS outages in urban environments, a challenge faced by many vehicle navigation systems today.
Additionally, Cheng’s leadership in the Shanxi Key Laboratory of Beidou Information Service Technology and his role within the CCF Internet of Things Committee further reflect his influence and recognition in both academia and the industry. His involvement in key research projects, including the Shanxi Province key research and development project, highlights the high regard in which his expertise is held within China’s technological development community.
Impact and Influence 🌟
Junbing Cheng’s work is having a significant impact on the future of navigation systems, particularly in urban environments where GNSS signals are often unreliable. His innovations in multi-source information fusion and deep learning-based positioning systems have the potential to revolutionize vehicle navigation and positioning technologies. By integrating multiple data sources and applying advanced algorithms, Cheng has contributed to making navigation systems more robust and adaptable, even in challenging environments.
His leadership roles in the Shanxi Key Laboratory and the CCF Internet of Things Committee further enhance his influence, as these platforms allow him to share his knowledge and collaborate with other experts in the field. His contributions are not only academic but also practical, as they directly impact real-world applications in transportation, logistics, and urban planning.
Legacy and Future Contributions 🚀
Looking ahead, Junbing Cheng’s work is poised to continue shaping the future of positioning and navigation technologies. His current research efforts are focused on further enhancing the robustness and adaptability of navigation systems, particularly in the context of multi-source information fusion. As the demand for autonomous vehicles and advanced positioning technologies grows, Cheng’s innovations will likely play a key role in driving the development of these systems.
Cheng’s legacy will likely be marked by his contributions to making navigation and positioning systems more accurate, reliable, and capable of operating in complex environments. His work will continue to influence the development of advanced technologies in autonomous systems, robotics, and the Internet of Things (IoT). With his ongoing research and leadership, Cheng is set to remain at the forefront of technological innovation in the coming years.
In summary, Junbing Cheng’s academic pursuits, professional endeavors, and groundbreaking research in positioning and navigation technologies have already left a significant mark on the field. His innovations, leadership, and commitment to advancing the state of the art promise to drive further advancements in the years to come, shaping the future of urban mobility and autonomous systems.
📝Notable Publications
An Adaptive Integrated Positioning Method for Urban Vehicles Based on Multitask Heterogeneous Deep Learning During GNSS Outages
Authors: Cheng, J., Gao, Y., Wu, J.
Journal: IEEE Sensors Journal
Year: 2023
Channel compensation multipath mitigation technique for Kalman-Based Least Mean Square based on Kalman estimation
Authors: Li, D., Wang, X., Zhao, J., Cheng, J.
Journal: Concurrency and Computation: Practice and Experience
Year: 2021
Research on BDS fast and precise positioning method in complex environment | 复杂环境中BDS快速精密定位方法研究
Authors: Cheng, J.
Journal: Cehui Xuebao/Acta Geodaetica et Cartographica Sinica
Year: 2021
A BDS Wide-Lane Ambiguity Resolution Method Considering Carrier-to-noise ratio in Complex Environment
Authors: Cheng, J., Li, D.-A., Zhao, J.
Conference: Proceedings – 2020 8th International Conference on Advanced Cloud and Big Data, CBD 2020
Year: 2020
Multipath Mitigation in GNSS Positioning by the Dual-Path Compression Estimation
Authors: Zhang, P., Li, D., Zhao, J., Cheng, J.
Journal: IEEE Sensors Journal
Year: 2020