Professor Huilin Yin of Tongji University is a distinguished researcher specializing in intelligent vehicle environmental perception and autonomous driving safety. With an H-index of 8 and over 430 citations, Prof. Yin has led groundbreaking projects, including a major NSFC-funded study on collaborative decision-making in industrial systems and consultancy for Continental Holding China. Her research spans visual-inertial SLAM, multi-object tracking, and trajectory prediction. Widely published in top-tier SCI/Scopus-indexed journals and conferences, she continues to pioneer advanced solutions that shape the future of intelligent transportation systems.

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🎓 Early Academic Pursuits

Prof. Huilin Yin began her academic journey with a keen interest in the convergence of technology, artificial intelligence, and transportation. Her early education was marked by a solid foundation in engineering and computer science, which fueled her fascination with intelligent systems and autonomous technologies. Driven by curiosity and a passion for innovation, she pursued advanced degrees focusing on robotics, machine learning, and perception technologies—all of which laid the groundwork for her future endeavors in autonomous driving and smart mobility.

Her early academic milestones reflect a strong commitment to addressing real-world challenges through research. By the time she transitioned into academia as a professor, she had already distinguished herself through her academic diligence and innovative thinking.

💼 Professional Endeavors

Currently a professor at Tongji University, China, Prof. Yin leads cutting-edge research in environmental perception for intelligent vehicles and autonomous driving safety. Her professional journey is characterized by a seamless blend of academic excellence and industrial collaboration. One of her most prominent projects, titled “Interactive Learning and Collaborative Decision-Making of the Full-Element Integration in Industrial Production Systems,” was funded by the National Natural Science Foundation of China (Grant No. 62133011). This project underscores her role in advancing AI-driven decision systems in complex industrial and vehicular contexts.

Her consultancy work with Continental Holding China Co., Ltd. on multi-target trajectory prediction further highlights her technical expertise and industry relevance. In this capacity, she acted as a technical consultant, guiding the development of predictive technologies based on roadside data from 2023 to 2024.

🔍 Contributions and Research Focus

Prof. Yin’s contributions are at the intersection of robotics, autonomous navigation, perception systems, and deep learning. Her primary research interests include:

• SLAM (Simultaneous Localization and Mapping) technologies

• Object tracking and detection using LiDAR and camera fusion

• Deep learning applications for trajectory prediction

• Visual-inertial navigation systems (VINS)

• Path planning with reinforcement learning

She has published extensively in SCI/Scopus-indexed journals and conferences, with standout contributions such as:

• DP-VINS: A dynamic plane-based visual-inertial SLAM for autonomous vehicles

• Ground-optimized SLAM using hierarchical loop closure detection

• Zero-shot robustness in autonomous driving using Segment-Anything models

• Curiosity-driven deep reinforcement learning for AGV path planning

Her works often bridge theoretical models with real-world applications, contributing both to academic literature and industrial innovation.

🏆 Accolades and Recognition

Prof. Yin has achieved commendable recognition within the scientific and academic community. Her H-index of 8 and 433 total citations reflect the growing impact of her research in the domains of intelligent transportation and autonomous systems. Though still in the earlier phase of her academic career, she has rapidly become a respected voice in the field through both national-level research projects and international conference presentations.

Her active participation in premier platforms like the IEEE International Conference on Intelligent Transportation Systems (ITSC) and CASE 2023 in New Zealand demonstrates her engagement with global academic communities.

🌍 Impact and Influence

Prof. Yin’s research plays a vital role in advancing smart mobility and safety technologies. By contributing robust, scalable solutions for environmental perception and trajectory prediction, her work influences how modern autonomous systems navigate complex environments. Her collaborative work with industry leaders like Continental underscores the real-world applicability of her research. Moreover, the tools and frameworks she develops are highly adaptable, positioning them as foundational blocks for future AI-integrated mobility systems worldwide.

🔮 Legacy and Future Contributions

Looking ahead, Prof. Yin is poised to continue leading innovative research that transforms the landscape of autonomous transportation. Her future focus includes:

• Enhancing human-vehicle interaction via AI models

• Developing universally adaptable SLAM systems for global deployment

• Deepening the fusion of LiDAR and camera data for richer environmental perception

• Pioneering ethical and secure AI-driven decision-making systems

With her strategic vision and a solid track record, Prof. Huilin Yin is set to become a pivotal figure in shaping the next generation of intelligent vehicles and autonomous systems.

Publication Top Notes

Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic