个人简历

学习及工作经历\r
2014.7—至今 副教授，北京航空航天大学，仪器科学与光电工程学院，测控系\r
2009.7—2014.7 讲师，北京航空航天大学，仪器科学与光电工程学院，测控系\r
2005.9—2009.7 物理电子学博士学位，北京航空航天大学，电子信息工程学院\r
2007.9—2009.4 物理电子学博士联合培养，美国约翰霍普金斯大学（JHU），电子计算机工程学院\r
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教学情况\r
2010-2015 担任本科生必修课程《信号分析与处理》主讲教师\r
2012-至今 担任本科生校级选修课程《激光雷达趣味导论》主讲教师\r
2012-至今 担任本科生必选通识课程《激光雷达--从探测到成像》主讲教师\r
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科研项目及成果\r
2009年至今从事激光雷达探测与成像系统及技术研究。已发表相关论文96篇，其中SCI 检索38篇，EI 检索55篇，申请发明专利32项，已授权专利24项。2011年获得国防技术发明三等奖（排名第3），2012年获得教育部技术发明一等奖（排名第2），2013年获得“北京青年英才培养计划”支持，2014年获得北京航空航天大学校级教学成果三等奖。2015年获得北京航空航天大学校级“优秀班主任”称号；2016年指导的本科毕业设计论文获校级优秀论文；2013年和2017年获得IEEE-IST大会的最佳论文奖；2018年指导的本科学生参加第28届“冯如杯”获得二等奖。主持项目包括国家自然科学基金青年基金项目、国家自然科学基金面上项目、国家重点基础研究发展计划（973 计划）子课题、教育部博士点基金、海装预研基金项目等。

研究领域

1、激光雷达系统与探测技术 \r
基于FPGA的下位机控制技术，激光测距技术，上位机编程技术（python、C++），测距电路技术（电路设计，PCB制作），测量误差溯源技术（Matlab）。应用在航空航天、海洋资源探测及智慧城市重建。\r
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2、激光雷达数据处理技术 \r
基于机器学习的激光雷达数据识别与分类技术，数据发掘与数据融合的纹理匹配技术，深度学习的数据目标重建技术。应用在探测目标识别、智慧城市建模、无人机与无人汽车自动导航。\r
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3、信号处理及建模反演\r
对地观测机理建模、海洋观测机理建模、数字化城市数学建模；信号处理方法包括滤波、拟合、纹理匹配等技术。应用在森林观测、海洋资源探测及智慧城市重建。""

近期论文

Xiaolu Li*, Chang Liu, Zining Wang, Xinhao Xie, Duan Li, Lijun Xu*. Airborne LiDAR: State-of-the-art of System Design, Technology and Application, Measurement Science and Technology, 32(3): 032002(24pp), 2021.\r
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Xiaolu Li*, Yier Zhou*, Baocheng Hua. Study of a Multi-Beam LiDAR Perception Assessment Model for Real-Time Autonomous Driving [J]. IEEE Transactions on Instrumentation and Measurement, 70: 8503215(15pp), 2021\r
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Xiaolu Li, Zhixin Zhang, Xinhao Xie, Lijun Xu and Duan Li*. A multi-target on-line ranging method based on matrix sparsification and division free Gauss-Jordan solver[J]. Measurement Science and Technology, 32(9): 095207(13pp), 2021\r
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Xinhao Xie, Xiaolu Li, Duan Li*, Lijun Xu. Real-Time In-Situ Laser Ranging via Back Propagation Neural Network on FPGA. IEEE Sensors Journal, 21(4):4664-4673, 2021\r
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Zining Wang, Lijun Xu, Duan Li*, Zhixin Zhang, Xiaolu Li. Online Multi-target Laser Ranging Using Waveform Decomposition on FPGA [J]. IEEE Sensors Journal, 2021, 21(9): 10879-10889.\r
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Chang Liu, Lijun Xu, Lin Si, Xiaolu Li, Duan Li*, Jianbin Huang, Yuntao He. A robust deconvolution method of airborne LiDAR waveforms for dense point clouds generation in forest [J]. IEEE Transactions on Geoscience and Remote Sensing, 60: 5700314(14pp), 2021\r
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Xiaolu Li, Chang Liu, Zining Wang, Xinhao Xie, Duan Li, Lijun Xu. Airborne LiDAR: State-of-the-art of System Design, Technology and Application.[期刊]:Measurement Science and Technology,2021,32(3):032002:1-12\r
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Xiaolu Li, Lijun Xu, Imaging Sensor Technologies and Applications, chapter 6: LiDAR Sensors, UK: IET Publishing, 2020\r
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徐立军，李小路，遥感平台运动误差表征与成像像质退化，北京：科学出版社，2020\r
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王皓, 罗沛, 李小路. 近程动态范围激光雷达测距系统设计及误差分析[J]. 北京航空航天大学学报, 2020, 46(2): 422-429\r
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Xinhao Xie, Lijun Xu, Xiaolu Li* and Duan Li. Online Gauss–Newton-Based Parallel-Pipeline Method for Real-Time In-Situ Laser Ranging. IEEE Sensors Journal, Vol. 20, No. 13, pp. 7087-7096, Jul. 2020.\r
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Lijun Xu, Teng Xu, and Xiaolu Li*. Corn seedling monitoring using 3-D point cloud data from terrestrial laser scanning and registered camera data. IEEE Geoscience and Remote Sensing Letters,17 (1):137-141, 2020\r
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Duan Li, Lijun Xu*, Xiaolu Li, Jiangtao Sun. Asymmetrical-Gaussian-Model-Based Laser Echo Detection. IEEE Sensors Journal, 19 (10):3797-3806, 2019\r
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Xiaolu Li, Pei Luo, and Lijun Xu*, Factors influencing assessment in a TDC-based ranging system, Measurement Science and Technology, 30(12):125018:1-12, 2019\r
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Xinhao Xie, Lijun Xu, Zining Wang, Xiaolu Li*. Real-time in-situ laser ranging based on online echo waveform fitting. IEEE Sensors Journal, 19 (20), 9255-9262, 2019\r
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Xiaolu Li*, Pei Luo. Boosting ranging performance of LiDAR using multi-pulse coherent average. IEEE Sensors Journal, 19(15):6270-6278, 2019\r
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Lijun Xu, Jing Feng, Xiaolu Li*, Chang Liu. Automatic Registration Method of TLS LiDAR Data and Image-based reconstructed Data. IEEE Geoscience and Remote Sensing Letters, 16 (3):482-486, 2019\r
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Xiaolu Li, Yunye Li, Xinhao Xie, and Lijun Xu*. Terrestrial Laser Scanner Autonomous Self-calibration with No Prior Knowledge of Point-clouds. IEEE Sensors Journal, vol. 18, no. 22, pp. 9277-9285, 2018\r
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Xiaolu Li, Yunye Li, Xinhao Xie, and Lijun Xu*. Lab-built terrestrial laser scanner self-calibration using mounting angle error correction. Optics Express, 2018: Vol. 26, Issue 11, pp. 14444-14460.\r
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Xiaolu Li, Bingwei Yang, Xinhao Xie, Duan Li and Lijun Xu*. Influence of Waveform Characteristics on LiDAR Ranging Accuracy and Precision. Sensors, 18(4):1156 (16pp), 2018\r
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Xiaolu Li*, Hongming Wang, Bingwei Yang, Jiayue Huyan, Lijun Xu. Influence of Time-Pickoff Circuit Parameters on LiDAR Range Precision[J]. Sensors, 17(10), 2369 (20pp), 2017\r
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Xiaolu Li, Kai Xu, and Lijun Xu*, Within-footprint roughness measurements using ICESatGLAS waveform and LVIS elevation, Measurement Science and Technology, vol. 27, no. 12, pp. 125012 (11pp), 2016\r
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Xiaolu Li, Kai Xu, Lijun Xu*, Surface slope and roughness measurement using ICESat/GLAS elevation and laser waveform, Measurement Science and Technology, vol.27, no.9, 095202 (9pp), 2016.\r
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Xiaolu Li and Yu Liang*, Remote measurement of surface roughness, surface reflectance, and body reflectance with LiDAR,”Appl. Opt. 54(30):8904-8912, 2015\r
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Xiaolu Li and Yu Liang*, Surface characteristics modeling and performance evaluation of urban building materials using LiDAR data, Appl. Opt. 54(15):4750-4759, 2015\r
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Xiaolu Li, Yu Liang, and Lijun Xu. Bidirectional reflectance distribution function based surface modeling of non-Lambertian using intensity data of light detection and ranging [J]. J. Opt. Soc. Am. A, Vol 31, no 9, 2055-2063, 2014\r
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Xiaolu Li, Lian Ma, and Lijun Xu. Real-time Terrain Classification using ICESat/GLAS Data over Beijing area. Remote sensing letters, Vol 5, no 7, 591-600, 2014\r
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Xiaolu Li, Lian Ma, and Lijun Xu. Empirical Modeling for non-Lambertian Reflectance based on Full-waveform Laser Detection[J]. Optical Engineering, Vol 52, no 11, 116110 (10pp), 2013\r
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Xiaolu Li, Lijun Xu, Xiangrui Tian and Deming Kong, Terrain Slope Estimation within Footprint from ICESat/GLAS Waveform: Model and Method, Journal of Applied Remote Sensing, vol.6, issue 1, 063534 (24pp), 2012