I'm currently a Multi-Sensor Calibration Algorithm Engineer at DJI, based in Shenzhen, Guangdong. My work focuses on calibration algorithms for multi-sensor systems, including LiDAR, camera (GS & RS), IMU, and radar.
Before joining DJI, I received my master's degree from the School of Geodesy and Geomatics (SGG), Wuhan University (WHU). My research interests include integrated navigation systems, multi-sensor fusion, continuous-time state estimation, and B-spline-based optimization 😃.
Chinese Profile
我目前就职于 DJI 大疆创新，担任多传感器标定算法工程师，base 广东深圳。我的工作主要围绕 LiDAR、Camera，包括全局快门与卷帘快门相机、IMU、Radar 等多传感器系统的标定算法展开。
在加入 DJI 之前，我硕士毕业于 武汉大学 测绘学院。我的研究方向包括组合导航、多传感器融合、连续时间状态估计以及基于 B-spline 的优化方法 😃。
- Multi-Sensor Calibration Algorithm Engineer at DJI, Shenzhen, Guangdong.
- Alumnus of Wuhan University, School of Geodesy and Geomatics.
- My interests include sensor calibration, state estimation, integrated navigation, and multi-sensor fusion.
- I love photography, writing modern C++/Cplusplus, and creating funny toy libraries.
- A brief introduction about me can be found here.
- Ask me about anything here.
- iKalibr: unified targetless spatiotemporal calibration for resilient integrated inertial systems.
- River: a continuous-time-based radar-inertial velocity estimator.
- eKalibr: an event-based visual intrinsic and spatiotemporal calibrator.
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eKalibr: an event-based visual calibrator. Related paper(s) 👇:
- S. Chen, X. Li*, L. Yuan and Z. Liu, "eKalibr: Dynamic Intrinsic Calibration for Event Cameras From First Principles of Events," in IEEE Robotics and Automation Letters (RA-L), 2025. [paper-ral] [paper-arXiv] [video] [code]
- S. Chen, X. Li*, and L. Yuan, "eKalibr-Stereo: Continuous-Time Spatiotemporal Calibration for Event-Based Stereo Visual Systems," in IEEE Robotics and Automation Letters (RA-L), 2025. [paper-ral] [paper-arXiv] [video] [code]
- S. Chen, X. Li*, and L. Yuan. eKalibr-Inertial: Continuous-Time Spatiotemporal Calibration for Event-Based Visual-Inertial Systems[J]. arXiv preprint arXiv:2509.05923, 2025. [paper-arXiv] [code]
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iKalibr: a continuous-time, targetless, unified spatiotemporal calibrator. Related paper(s) 👇:
- S. Chen, X. Li*, S. Li*, Y. Zhou, and X. Yang, "iKalibr: Unified Targetless Spatiotemporal Calibration for Resilient Integrated Inertial Systems," in IEEE Transactions on Robotics (T-RO), 2025. [paper-tro] [paper-arXiv] [video 1] [video 2] [code]
- S. Chen, X. Li*, S. Li and Y. Zhou, "iKalibr-RGBD: Partially-Specialized Target-Free Visual-Inertial Spatiotemporal Calibration For RGBDs via Continuous-Time Velocity Estimation," in IEEE Robotics and Automation Letters (RA-L), 2024. [paper-ral] [paper-arXiv] [code]
- S. Chen, X. Li*, S. Li, Y. Zhou and S. Wang, "MI-Calib: An Open-Source Spatiotemporal Calibrator for Multiple IMUs Based on Continuous-Time Batch Optimization," in IEEE Robotics and Automation Letters (RA-L), 2024. [paper-ral] [code] [video]
- S. Chen, X. Li*, S. Li, Y. Zhou and S. Wang, "RIs-Calib: An Open-Source Spatiotemporal Calibrator for Multiple 3D Radars and IMUs Based on Continuous-Time Estimation," in IEEE Transactions on Instrumentation and Measurement (TIM), 2024. [paper-tim] [paper-arXiv] [code] [video]
- S. Chen, X. Li*, S. Li, Y. Zhou and S. Wang, "Targetless Spatiotemporal Calibration for Multiple Heterogeneous Cameras And IMUs Based on Continuous-Time Trajectory Estimation," in IEEE Transactions on Instrumentation and Measurement (TIM), 2023. [paper-tim]
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River: a continuous-time-based radar-inertial velocity estimator. Related paper(s) 👇:
So why is my nickname ULong2 😃? ULong is a data type in C++ that stands for unsigned long integer, which can store a large number, but no negative numbers are allowed. This represents my desire to explore a wide range of knowledge and a positive (non-negative) mindset. Interestingly, Long is also the pinyin for one of the Chinese characters in my name. And the number 2, yes, is my lucky number.
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