Xiaolu Li received the PhD degree in physical electronics from Beihang University in 2009. She received the Excellent Youth Researcher Plan from the Ministry of Education of Beijing in 2014. She has published more than 100 papers, and authorized 35 invention patents. She also participated in writing one Chinese academic book and one English academic book. She has received awards including first prize of Technological Invention Award from the Ministry of Education in 2012, first prize of Scientific and Technological Progress from the China Instrument and Control Society in 2023.
Her main research interests include LiDAR system design, LiDAR modeling and simulation, signal processing. As principal investigator, she is in charge of the sub-project of the National Key R&D Program, the National Natural Science Foundation of China, Huawei projects, and more than ten projects of the Aerospace Fund. Breakthroughs have been made in the key technologies of high-precision pointing correction and high-speed on-line ranging, applied to aerospace engineering application test.
Tengfei Bi, Xiaolu Li*, Wenbin Chen, Zichen Ma, Ruiqin Yu and Lijun Xu. A Probability Density Functions Convolution Based Analytical Detection Probability Model for LiDAR with Pulse Peak Discriminator[J]. Measurement, 2025, 242:115904(11pp).
Ruiqin Yu, Xiaolu Li*, Zichen Ma. A Fast Close-target Ranging Method for LiDAR in Fog Using Gauss-Newton Global Optimization[J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 8505411(11pp).
Xiaolu Li, Wenbin Chen, Tengfei Bi, Zichen Ma, Lijun Xu*. A two-parameter Gaussian progressive decomposition based online ranging method for processing overlapping waveform[J]. Measurement, 2025, 256: 118152(13pp).
Lixuan Su, Li, Xiaolu*, Hu, Haidong,Zhou, Yier,Yin, Fang.A neighbor surface variation variance (NSVV) based key points Lixuan Su, Li, Xiaolu*, Hu, Haidong,Zhou, Yier,Yin, Fang.A neighbor surface variation variance (NSVV) based key points selection method for the pose estimation of unstructured terrain[J]. Measurement Science and Technology, 2025, 36(3): 036307(13pp).
Xiaolu Li, Xiaowei Feng, Fang Yin, Saizhe Zhao, Haidong Hu, Yuntao He*, Anran Wang. Modeling and correction of depth error in indirect time-of-flight cameras[J]. Measurement Science and Technology, 2025, 36: 065411 (14pp).
Ruiqin Yu, Xiaolu Li*. Traffic Sign Classification Method using Corrected Intensity and Up-sampled Point Cloud[J]. IEEE Sensors Journal, 2024, 24(20): 33614-33623.
Ruiqin Yu, Xiaolu Li*, Tengfei Bi, Tao Zhang, Zongyu Liu, Landa Gao, Lijun Xu. Modelling and Characterization of LiDAR Echo-Waveforms in Fog with Experiment Validations[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 8509311(11pp).
Tengfei Bi, Xiaolu Li*, Wenbin Chen, Tao Zhang. LiDAR saturated waveform compensation based real-time ranging method for traffic sign detection[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73:8504011 (11pp)
Ruiqin Yu, Xiaolu Li*, Tengfei Bi. Modelling and Validation of LiDAR Noise Distribution in Fog and Rain[J]. Measurement, 2024, 229: 114472(9pp).
Xiaolu Li, Wenbin Chen, Tengfei Bi*. A high-speed LiDAR online multi-echo ranging method based on module-level pipelining acceleration Gauss-Newton[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 8508815(15pp).
Xiaolu Li, Ruiqin Yu, Tengfei Bi, Lijun Xu. A Traffic Sign Classification Method Using LiDAR Corrected Intensity and Geometric Feature[J]. IEEE Sensors Journal, 2024, 24(7): 11796-11804. (SCI, Q1, 4.3)
Xiaolu Li, Tengfei Bi, Lijun Xu. A module-level pipeline based Gauss-Newton online ranging method for high-repetition-frequency full-waveform LiDAR. Measurement, 2024, 229: 114351(9pp)
Wang Zining, Li Xiaolu*, Bi Tengfei, Li Duan, and Xu Lijun. Line Feature Based Self-Calibration Method for Dual-Axis Scanning LiDAR System[J]. Measurement, 2024, 224: 113868(10pp)
Xiaolu Li, Yuhan Shang, Baocheng Hua, Ruiqin Yu, Yuntao He*. LiDAR Intensity Correction for Road Marking Detection[J]. Optics and Lasers in Engineering, 2023, 160: 107240(10pp)
Tengfei Bi, Xiaolu Li*, Wenbin Chen, and Tao Zhang. A Gauss–Newton Online Ranging Method Based on Saturated Waveform Compensation of LiDAR[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 8503512(12pp)
Yier Zhou, Xiaolu Li*, Haixia Hu, Lixuan Su, Hang Du, Wenming Fu, Lijun Xu. Neighbor feature variance (NFV) based feature point selection method for three dimensional (3D) registration of space target[J]. Measurement, 2023, 222: 113693(11pp).
Yier Zhou, Xiaolu Li, Baocheng Hua. Crater identification simulation using LiDAR on Lunar rover [J]. Measurement, 2023, 210: 112550(9pp)
Zining Wang, Xiaolu Li*, Tengfei Bi, Duan Li, Lijun Xu. A Compact In Situ Ranging LiDAR and Performance Evaluation[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 4501510(10pp)
