基本介紹
- 中文名：高洪波
- 職稱：研究員
- 學位/學歷：博士
人物經歷,研究方向,榮譽成就,發表論文,
人物經歷
(1) 2022.02 -至今，中國科學技術大學，自動化系，研究員
(1) 2019.07 -2022.01，中國科學技術大學，自動化系，副研究員
(2) 2016.11-2019.06，清華大學車輛與運載學院，博士後（助理研究員）
研究方向
(1) 智慧型駕駛車輛感知、規劃、決策與控制研究(2) 遷移學習、不確定性人工智慧及其智慧型駕駛車輛套用(3) 智慧型駕駛車輛智慧型測試與評價標準體系研究
榮譽成就
獲中國指揮與控制學會青年科學家獎（2020），
獲中國指揮與控制學會優秀博士論文提名獎（2017），
獲“超能勇士—2019”外骨骼系統挑戰賽“協同控制”組冠軍。
在IEEE Trans. Ind. Electron., IEEE Trans. Cybern., IEEE Trans. Ind. Inform. 等期刊發表論文15多篇，國際會議與期刊最佳論文5篇，獲批發明專利10餘件，其中國際發明專利2件
發表論文
[1] Deyi Li, H. Gao(*). A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain [J]. Engineering, 2018, 4(2018):464-470.
[2] H. Gao, D. Li, K. Li, et al. Object Classification using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment. IEEE Trans. on Industrial Informatics, 2018, 14(9):4224-4231.
[3] H. Gao, J. Zhu, T. Zhang, et al. Situational Assessment for Intelligent Vehicles based on Stochastic Model and Gaussian Distributions in Typical Traffic Scenarios. IEEE Trans. on Systems Man Cybernetics-Systems, 2020, DOI: 10.1109/TSMC.2020.3019512.
[4] H. Gao, J. Zhu, H. Su, et al. Automatic Parking Control of Unmanned Vehicle Based on Switching Control Algorithm and Backstepping. IEEE/ASME Trans. on Mechatronics, 2020, DOI :10.1109/TMECH.2020.3037215.
[5] H. Gao, J. Wang, K. Li, et al. Trajectory Prediction of Cyclist Based on Dynamic Bayesian Network and Long Short-Term Memory Model at Unsignalized Intersections. SCIENCE CHINA: Information Sciences, 2021, 64(7), 172207:1–172207:13.
[6] H. Gao, C. Lv, T. Zhang, et al. A Structure Constraint Matrix Factorization Framework for Human Behavior Segmentation. IEEE Trans. on Cybernetics, 2021, DOI: 10.1109/TCYB.2021.3095357.
[7] H. Gao, Z. Kan; K. Li. Robust Lateral Trajectory Following Control of Unmanned Vehicle Based on Model Predictive Control. IEEE/ASME Trans. on Mechatronics, 2021, DOI: 10.1109/TMECH.2021.3087605.
[8] H. Gao,C. Hu, K. Li, et al. An Interacting Multiple Model for Trajectory Prediction of Intelligent Vehicles in Typical Road Traffic Scenario. IEEE Trans. on Neural Network and Learning Systems, 2021, DOI: 10.1109/TNNLS.2021.3136866
[9] H. Gao, K. Li, Z. Kan, et al. Adaptive Finite Time Trajectory Tracking Control of Autonomous Vehicles with Disturbance and Actuator Saturation. IEEE Intelligent Transportation Systems Magazine,2021,DOI: 10.1109/MITS.2021.3080075
[10] H. Gao, C. Hu, G. Xie, et al. Discretionary Cut-in Driving Behavior Risk Assessment based on Naturalistic Driving Data. IEEE Intelligent Transportation Systems Magazine,2021, DOI:10.1109/MITS.2021.3093349.
