About me
Qianxin Qu is an researcher and current Research Assistant at the School of Vehicle and Mobility, Tsinghua University, under the mentorship of Prof. Xinyu Zhang and Prof. Jun Li. He earned his B.Eng in Computer Science and Technology from China University of Mining and Technology (CUMTB) in 2023, where he was guided by Prof. Jiajing Li. Further enhancing his research credentials, Qianxin participated in joint training with Tsinghua University from 2023 to 2024.
His research focuses on sensor fusion methodologies with emphasis on data consistency assurance for intelligent transportation systems. Recently, he is dedicated to pioneering a new data alignment paradigm utilizing 3d foundation models (etc., VGGT). His future work also focus on enhancing the practical deployability of these powerful models. This involves two key thrusts: first, developing strategies to efficiently interface the holistic representation with downstream perception tasks, and second, investigating model compression and quantization techniques to enable deployment on resource-constrained devices.
Qianxin is actively seeking opportunities to further his academic pursuits and is currently exploring MPhil/PhD programs where he can contribute to and expand his research on data consistency technologies and their applications in intelligent systems.
🔥 News
- 2025.07: 🎉🎉 Our paper “V2I-Calib++: A Multi-terminal Spatial Calibration Approach in Urban Intersections for Collaborative Perception” has been accepted by IEEE Transactions on Intelligent Transportation Systems (TITS, CAS Q1 top, JCR Q1, IF:8.4).
- 2025.05: 🎉🎉 Our survey paper “Cooperative Visual-LiDAR Extrinsic Calibration Technology for Intersection Vehicle-Infrastructure: A review” is accepted by IEEE Internet of Things Journal(IoTJ, CAS Q1 top, JCR Q1, IF:8.9).
- 2024.08: 🎉🎉 Our paper “GF-SLAM: A Novel Hybrid Localization Method Incorporating Global and Arc Features” is accepted by IEEE Transactions on Automation Science and Engineering(TASE, CAS Q2 top, JCR Q1, IF=5.9).
- 2024.06: 🎉🎉 Our paper “V2I-Calib: A Novel Calibration Approach for Collaborative Vehicle and Infrastructure LiDAR Systems” is accepted by IROS 2024.
- 2023.11: 🎉🎉 Our paper “Automated Extrinsic Calibration of Multi-Cameras and LiDAR” has been accepted by IEEE Transactions on Instrumentation and Measurement (TIM, CAS Q2 top, JCR Q1, IF:5.9).
📝 Publications
V2I-Calib++: A Multi-terminal Spatial Calibration Approach in Urban Intersections for Collaborative Perception
Qianxin Qu*, Xinyu Zhang*, Yijin Xiong†, Chen Xia, Ziqiang Song, Qian Peng, Kang Liu, Jun Li
Accepted by IEEE Transactions on Intelligent Transportation Systems(TITS, CAS Q1 top, JCR Q1, IF:8.4)
V2I-Calib: A Novel Calibration Approach for Collaborative Vehicle and Infrastructure LiDAR Systems
Qianxin Qu*, Yijin Xiong* , Guipeng Zhang , Xin Wu , Xiaohan Gao , Xin Gao , Hanyu Li , Shichun Guo , Guoying Zhang†
IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), 2024
Cooperative Visual-LiDAR Extrinsic Calibration Technology for Intersection Vehicle-Infrastructure: A review
Yijin Xiong, Xinyu Zhang†, Qianxin Qu, Renjie Wang, Xin Gao, Jing Liu, Shichun Guo, Jun Li
Accepted by IEEE Internet of Things Journal(IoTJ, CAS Q1 top, JCR Q1, IF:8.2, Student First Author), 2025
Automated Extrinsic Calibration of Multi-Cameras and LiDAR
Xinyu Zhang, Yijin Xiong†, Qianxin Qu, Shifan Zhu, Shichun Guo, Dafeng Jin, Guoying Zhang, Haibing Ren, Jun Li
IEEE Transactions on Instrumentation and Measurement (TIM, CAS Q2 top, JCR Q1, IF:5.9, Student First Author), 2023
GF-SLAM: A Novel Hybrid Localization Method Incorporating Global and Arc Features
Yijin Xiong, Xinyu Zhang†, Wenju Gao, Yuchao Wang, Jing Liu, Qianxin Qu, Shichun Guo, Yang Shen, Jun Li
IEEE Transactions on Automation Science and Engineering(TASE, CAS Q2 top, JCR Q1, IF=5.9), 2024