陈白帆

副教授 硕士生导师

所在单位:自动化学院

职务:Associate Professor

办公地点:校本部升华后楼211

联系方式:chenbaifan@csu.edu.cn

学位:博士学位

学科:计算机科学与技术

出版

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论文

  1. 谭兆一, 陈白帆*. 基于坐标逆映射的增强型车辆三维全景影像. 计算机应用技术, 2021, DOI:10.11772/j.issn.1001-9081.2020071039

  2. Feng Lu, Baifan Chen*, Xiang-Dong Zhou, and Dezhen Song. STA-VPR: Spatio-temporal Alignment for Visual Place Recognition[J]. IEEE Robotics and Automation Letters, 2021, 6(3):4297-4303

  3. Baifan Chen, Siyu Li, Haowu Zhao, Limei Liu. Map Merging with Suppositional Box for Multi-Robot Indoor Mapping[J]. Electronics, 2021, 10: 815

  4. Feng Lu, Baifan Chen*, Zhaohong Guo and Xiangdong Zhou. Robust Visual Place Recognition in Changing Environments Using Improved DTW[J]. International Journal on Artificial Intelligence Tools, 2021, 30(02): 2150004

  5. Baifan Chen, Hong Chen, Dian Yuan and Lingli Yu*. 3D Fast Object Detection Based on Discriminant Images and Dynamic Distance Threshold Clustering[J]. Sensors, 2020, 20(24):7221.

  6. 刘飞, 陈白帆, 胡云卿, 潘文波, 龙腾, 袁典. 智轨电车的传感器配置方案研究. 控制与信息技术, 2020, 4: 73-79

  7. 陈白帆, 宋宝军, 吴谦, 胡云卿, 潘文波. 一种基于共享权值循环卷积网络的序列地点识别方法. 中国自动化大会, 2019

  8. Feng Lu, Baifan Chen*, Zhaohong Guo, Xiangdong Zhou. Visual Sequence Place Recognition with Improved Dynamic Time Warping. ICTAI (IEEE International Conference on Tools with Artificial Intelligence), 20191034-1041.

  9. Baifan Chen, Dian Yuan, Chunfa Liu, Qian Wu. Loop Closure Detection Based on Multi-Scale Deep Feature Fusion. Applied Sciences, 2019, 91120.

  10. Lijue Liu, Xiaoliang Lei, Baifan Chen*, Shu Lie. Human Action Recognition Based on Inertial Sensors and Complexity Classification[J]. Journal of Information Technology Research, 2019, 12(1):18-35.

  11. Yong Wang, Xihui Xue and Baifan Chen*. Matsuoka's CPG With Desired Rhythmic Signals for Adaptive Walking of Humanoid Robots. IEEE Transactions on Cybernetics.

  12. (doi: 10.1109/TCYB.2018.2870145)

  13. Honglin Quan, Songhe Feng, Baifan Chen*. Two Birds with One Stone: A Unified Approach to Saliency and Co-Saliency Detection via Multi-Instance Learning. IEEE Access, PP(99):1-1 (DOI: 10.1109/ACCESS.2017.2764503)

  14. Baifan Chen, Chunfa Liu, Yu Tong, Qian Wu. Robust RGB-D Visual Odometry Based on Planar Features. IEEE Cyber 2017

  15. Baifan Chen, Meng Peng, Lijue Liu, Tao Lu. Visual tracking with multilevel sparse representation and metric learning. Journal of Information Technology Research, 11(2) (DOI: 10.4018/JITR.2018040101)

  16. 高琰, 陈白帆*, 晁绪耀, 毛芳. 基于CD-RBM 深度学习的产品评论情感分析. 计算机应用, 2016, 36(4):1045-1049

  17. Baifan Chen, Lijue Liu, Zhirong Zou, Xiyang Xu. A Hybrid Data Association Approach for SLAM in Dynamic Environment[J]. International Journal of Advanced Robotic Systems, 2013, 10(118):1-7

  18. 陈白帆, 蔡自兴, 邹智荣. 一种移动机器人SLAM中的多假设数据关联方法. 中南大学学报(自然科学版) , 2012, 43(2):522-527.

  19. Bai-Fan Chen, Zi-Xing Cai.  Research on Mobile Robot SLAM in Dynamic Environment. Applied Mechanics and Materials , 2012, 130-134 : 232-238 . (EIP 20114714534288)

  20. 陈白帆, 蔡自兴, 邹智荣. 移动机器人SLAMiDE系统设计与实现. 计算机工程, 2011, 37(17):158-160

  21. Baifan chen, Zixing Cai, Zirong Zou. A Hybrid Data Association Approach for Mobile Robot SLAM. International Conference on Control, Automation and Systems, Kintex, Korea, Oct27, 2010. 1900-1903(EIP 20110413612201)

  22. 陈白帆, 蔡自兴, 潘薇. 基于声纳和摄像头的动态环境地图创建方法. 高技术通讯, 2009, 19(4): 410-414 (EIP 20092012085628)

  23. 陈白帆, 蔡自兴, 袁成. 基于粒子群优化的移动机器人SLAM方法研究. 机器人. 2009, 31(6): 513-517 (EIP 20095012535413)

  24. Baifan chen, Zixing Cai, Zheng Xiao, Jinxia Yu, Limei Liu. Real-time Detection of Dynamic Obstacle Using Laser Radar. The 9th International Conference for Young Computer Scientists, Nov. 2008:1728-1732 (EIP 20090411875107)

  25. Baifan chen, Zixing Cai. Mobile Robot Mapping System and Method in Dynamic Environments. Proceedings of Information Technology & Environmental System Sciences: ITESS, May 2008, 3:1024-1029.

  26. 陈白帆, 蔡自兴等. 异质多移动机器人协同技术研究的进展. 智能系统学报, 2007, 3:1-6

  27. Chen Baifan, Cai Zixing. An approach of simultaneouse localization and mapping based on the local maps. Journal of Central South Technology University, 2006, 13(6):713-716 (SCI检索,EIP 070910461389)

  28. 陈白帆, 蔡自兴. 基于尺度空间理论的Harris角点检测. 中南大学学报(自然科学版), 2005, 36(5):751-754. (SCI检索,EIP 05489513614)

  29. 陈白帆, 蔡自兴.一种基于反对称矩阵特性的摄像机自标定方法. 中国人工智能学会第10届全国学术年会,中国人工智能进展, 2003: 569-573 

  30. Honglin Quan, Songhe Feng, Congyan Lang, Baifan Chen. Improving person re-identification via attribute-identity representation and visual attention mechanism[J]. Multimedia Tools and Applications, 2020, 79(11):7259-7278.

  31. Lyu, Gengyu; Feng, Songhe; Huang, Wenying; Dai, Guojun; Zhang, Hua; Chen, Baifan. Partial label learning via low-rank representation and label propagation, Soft Computing, 2020, 24(7): 5165-5176.

  32. Binbin Li, Dezhen Song, Ankit Ramchandani, Hsin-Min Cheng, Di Wang, Yiliang Xu, Baifan Chen. Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving: A Tight Coupling between Perception and Planning. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (已录用)

  33. Yan Lu, Joseph Lee, Shu-Hao Yeh, Hsin-Min Cheng, Baifan Chen, and Dezhen Song. Sharing Heterogeneous Spatial Knowledge: Map Fusion between Asynchronous Monocular Vision and Lidar or Other Prior Inputs. 2017 International Symposium on Robotics Research, Puerto Varas, Chile, December 2017 (录用)

  34. 郭璠, 刘丽珏, 刘熙尧, 陈白帆. 基于三维立体分享图像的(2, 2) 视觉密码方案. 计算机应用研究, 2018, 29(8) (录用)

  35. 卢涛, 章瑾, 陈白帆, 管英杰. 多尺度自适应配准的视频超分辨率算法. 武汉工程大学学报, 2016, 38(2): 178-184

  36. 彭梦, 蔡自兴, 陈白帆. 一种融合多级稀疏表达和度量学习的目标跟踪方法. 控制与决策, 2015, 30(10): 1791-1796

  37. Zixing Cai, Mingqin Gu, Baifan Chen. Traffic Sign Recognition Algorithm Based on Multi-Modal Representation and Multi-Object Tracking[C]. The 17th International Conference on Image Processing, Computer Vision, & Pattern Recognition. 2013.

  38. 宋晓虹,陈白帆. 多传感器信息融合在智能车中的应用研究.计算机仿真, 2012, 29(6): 320-322

  39. REN Xiao-ping, CAI Zi-xing, CHEN Bai-fan, YU Ling-li. Anomaly detection method based on kinematics model and nonholonomic constraint of vehicle. J. Cent. South Univ. Technol. (2011) 18: 1128−1132 (EIP 20114014402412)

  40. 邹智荣, 蔡自兴, 陈白帆. 移动机器人SLAM中一种混合数据关联方法. 小型微型计算机系统. 2011, 32(7): 1340-1343

  41. 潘薇, 蔡自兴, 陈白帆. 一种非结构环境下多机器人构建地图的方法. 高技术通讯, 2009, 19(5): 506-510(EIP 20092712164525)

  42. 潘薇, 蔡自兴, 陈白帆. 基于遗传算法的多机器人协作建图方法. 计算机应用研究, 2009, 4(26): 128-1291

  43. 袁成, 蔡自兴, 陈白帆. 一种粒子群优化的同时定位与建图方法. 计算机工程. 2009, 35(11):175-177

  44. 潘薇, 蔡自兴, 陈白帆. 基于改进粒子滤波器的机器人同时定位与建图方法. 模式识别与人工智能, 2008, 6:843-845 (SCI, EI检索20090711906451)

  45. Wei Pan, Zixing Cai, Limei Liu, Baifan Chen, Lijue Liu. An Approach to Cooperative Multi-Robot Map Building in Complex Environments. The 9th International Conference for Young Computer Scientists, Zhangjiajie, China, 2008. 1733-1737 (EIP 20090411875108)

  46. Limei Liu, Zixing Cai, Wei Pan, Baifan Chen. A Map Building Method Based on Uncertain Information of Sonar Sensor. The 9th International Conference for Young Computer Scientists, Zhangjiajie, China, 2008. 1738-1742 (EIP 20090411875109)

  47. 张莉莉, 蔡自兴, 陈白帆. 基于相对观测量的机器人co-FastSLAM. 华中科技大学学报, 2008, 36(1):171-173.

书目

[1] 陈白帆,宋德臻. 移动机器人. 清华大学出版社,2021

[2] Zi-Xing Cai, Lijue Liu, Baifan Chen, Yong Wang. Artificial Intelligence From Beginning to Date. World Scientific, 2021  

[3] 蔡自兴,刘丽珏,蔡竞峰,陈白帆. 人工智能及其应用 第5版. 清华大学出版社,2016年7月 (“十二五”普通高等教育本科国家级规划教材)

[4]  陈白帆,刘丽珏译. Cyrill Stachniss著. 机器人地图建图与环境探索. 国防工业出版社,2013年5月

[5]  蔡自兴,陈白帆, 刘丽珏, 余伶俐. 多移动机器人协同原理与技术(Synergy Principles and Technologies of Multi-Mobile Robots). 国防工业出版社,2011年2月


专利

  1. 一种无人车定位方法及系统, 受理号:202011550860.4,受理日期:2020.12.25

  2. 集群清扫机器人协同建图软件,专利号:ZL 2020 1 0910180.2,授权公告日:2021.06.18

  3. 移动机器人环境地图构建方法、系统及存储介质,申请号:202010915072.4,受理日期:2020.10.12

  4. 集群机器人建图系统及方法,申请号:202010910180.2,受理日期:2020.09.02

  5. 无人驾驶车辆行驶过程中的障碍物检测方法、系统、车辆,申请号:202010333455.0,受理日期:2020.06.18

  6. 一种基于共享权值长期循环卷积的地点识别方法. 排名第1. 申请号:201910146055.6

  7. 一种基于激光点云的道路边沿检测方法. 排名第1. 申请号:201910049537.X,受理日期:2019.1.18

  8. 特征融合的RGB-D相机运动估计方法. 排名第1. 申请号:201711297500.6,受理日期:2017.12.8

  9. 一种基于深度学习的水产养殖水质预测方法. 排名第1. 专利号:ZL 2016 1 0502867.6) 授权公告日:2019年5月10日

  10. 一种可重构的多移动机器人通信方法. 排名第3. 专利号:ZL 2008 1 0030495.7, 授权发明2010年9月8日

  11. 基于自组织卡尔曼滤波的多传感器主动容错估计方法. 排名第3. 专利号 ZL 2013 1 0388266.3,授权发明2016年11月30日