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第5期 伍永健,等:量子粒子群优化下的RBPF-SLAM算法研究 ·835· 1493-1499 bot.2016.38(2):169-177 DAI Xuemei,LANG Lang,CHEN Mengyuan.Strong [I4]宋宇,李庆玲,康轶非,等.平方根容积Rao-Blackwil- tracking square-root cubature Kalman filter based on lised粒子滤波SLAM算法[J].自动化学报,2014, SLAM algorithm[J].Journal of electronic measurement 40(2:357-367. and instrumentation,2015,29(10):1493-1499. SONG Yu,LI Qingling,KANG Yifei,et al.SLAM with [6]韩萍,桑威林,石庆研.一种新型非线性卡尔曼滤波方法 square-root cubature Rao-Blackwillised particle filter[J]. [).仪器仪表学报,2015,36(3):632-638. Acta automatica sinica.2014.40(2):357-367. HAN Ping,SANG Weilin,SHI Qingyan.Novel nonlinear [15]林海波,柯晶晶,张毅.结合粒子群寻优与遗传重采样 Kalman filtering method[J].Chinese Journal of scientific 的RBPF算法U.计算机工程,2016,42(11)295-299. instrument,2015,36(3):632-638. LIN Haibo,KE Jingjing,ZHANG Yi.Rao-Blackwellized [7]周自牧,肖康.基于概率密度函数塑形法的EKF和 particle filter algorithm combined particle swarm optimiz- UKF优化U.控制工程,2016(S1:40-45. ation and genetic Re-sampling[J].Computer engineering, ZHOU Zimu,XIAO Kang.Optimization of EKF and UKF 2016,42(11):295-299. based on PDF shaping method[J].Control engineering of [I6]罗元,苏琴,张毅,等.基于优化RBPF的同时定位与地 China.2016(S1):40-45. 图构建[J].华中科技大学学报:自然科学版,2016 [8]王红旗,刘勇,罗宇锋.带定位盲区的矿井人员全局无线 44(5):30-34. 定位算法.控制工程,2015,22(3):505-509 LUO Yuan,SU Qin,ZHANG Yi,et al.Simultaneous loc- WANG Hongqi,LIU Yong,LUO Yufeng.Personnel glob- alization and mapping implementation based on optim- al wireless positioning algorithm in mine with positioning ized RBPF[J].Journal of Huazhong university of science blind[J].Control engineering of China,2015,22(3): and technology:natural science edition,2016,44(5): 505-509. 30-34. [9]李天成,范红旗,孙树栋粒子滤波理论、方法及其在多 [17刀李仁府,独孤明哲,胡麟,等.基于QPSO算法移动机器 目标跟踪中的应用[J].自动化学报,2015,41(12): 人轨迹规划与实验[].控制与决策,2014,29(12): 1981-2002 2151-2157 LI Tiancheng,FAN Hongqi,SUN Shudong.Particle filter- LI Renfu,DOKGO Myong-chol,HU Lin,et al.Mobile ing:theory,approach,and application for multitarget track- robot trajectory planning based on QPSO algorithm and ing[J].Acta automatica sinica,2015,41(12):1981-2002. experiment[J].Control and decision,2014,29(12): [10]ABBASI A,JAVARI A,JALILI M,et al.Enhancing pre- 2151-2157 cision of Markov-based recommenders using location in- 作者简介: formation[C]//Proceeings of 2014 International Confer- 伍永健,男.1992年生,硕土研究 ence on Advances in Computing,Communications and 生,主要研究方向为移动机器人路径 Informatics.New Delhi,India,2014:188-193. 规划。 [11]闫德立,宋永端,宋宇,等.一种改进的高斯混合概率假 设密度SLAM算法[J.控制与决策,2014,29(11): 1959-1965. YAN Deli,SONG Yongrui,SONG Yu,et al.An im- proved gaussian mixture PHD SLAM algorithm[J].Con- 陈跃东,男,1956年生,教授,主 trol and decision,,2014,29(11):1959-1965. 要研究方向为传感器信号处理、移动 [12]陈卫东,刘要龙,朱奇光,等.基于改进雁群PS0算法的 机器人定位及导航。 模糊自适应扩展卡尔曼滤波的SLAM算法).物理学 报,2013,62(17):170506. CHEN Weidong,LIU Yaolong,ZHU Qiguang,et al. Fuzzy adaptive extended Kalman filter SLAM algorithm 陈孟元,男,1984年生,副教授, based on the improved wild geese PSO algorithm[J].Acta 主要研究方向为嵌入式系统开发、图 physica sinica,.2013,62(17):170506. 像处理、传感器信息融合及优化。 [13]陈炜楠,刘冠峰,李俊良,等.室内环境的元胞自动机 SLAM算法U.机器人,2016,38(2):169-177. CHEN Weinan,LIU Guanfeng,LI Junliang,et al.An in- door SLAM algorithm based on cellular automata[J].Ro-1493–1499. DAI Xuemei, LANG Lang, CHEN Mengyuan. Strong tracking square-root cubature Kalman filter based on SLAM algorithm[J]. Journal of electronic measurement and instrumentation, 2015, 29(10): 1493–1499. 韩萍, 桑威林, 石庆研. 一种新型非线性卡尔曼滤波方法 [J]. 仪器仪表学报, 2015, 36(3): 632–638. HAN Ping, SANG Weilin, SHI Qingyan. Novel nonlinear Kalman filtering method[J]. Chinese Journal of scientific instrument, 2015, 36(3): 632–638. [6] 周自牧, 肖康. 基于概率密度函数塑形法的 EKF 和 UKF 优化[J]. 控制工程, 2016(S1): 40–45. ZHOU Zimu, XIAO Kang. Optimization of EKF and UKF based on PDF shaping method[J]. Control engineering of China, 2016(S1): 40–45. [7] 王红旗, 刘勇, 罗宇锋. 带定位盲区的矿井人员全局无线 定位算法[J]. 控制工程, 2015, 22(3): 505–509. WANG Hongqi, LIU Yong, LUO Yufeng. Personnel glob￾al wireless positioning algorithm in mine with positioning blind[J]. Control engineering of China, 2015, 22(3): 505–509. [8] 李天成, 范红旗, 孙树栋. 粒子滤波理论、方法及其在多 目标跟踪中的应用[J]. 自动化学报, 2015, 41(12): 1981–2002. LI Tiancheng, FAN Hongqi, SUN Shudong. Particle filter￾ing: theory, approach, and application for multitarget track￾ing[J]. Acta automatica sinica, 2015, 41(12): 1981–2002. [9] ABBASI A, JAVARI A, JALILI M, et al. Enhancing pre￾cision of Markov-based recommenders using location in￾formation[C]//Proceeings of 2014 International Confer￾ence on Advances in Computing, Communications and Informatics. New Delhi, India, 2014: 188–193. [10] 闫德立, 宋永端, 宋宇, 等. 一种改进的高斯混合概率假 设密度 SLAM 算法[J]. 控制与决策, 2014, 29(11): 1959–1965. YAN Deli, SONG Yongrui, SONG Yu, et al. An im￾proved gaussian mixture PHD SLAM algorithm[J]. Con￾trol and decision, 2014, 29(11): 1959–1965. [11] 陈卫东, 刘要龙, 朱奇光, 等. 基于改进雁群 PSO 算法的 模糊自适应扩展卡尔曼滤波的 SLAM 算法[J]. 物理学 报, 2013, 62(17): 170506. CHEN Weidong, LIU Yaolong, ZHU Qiguang, et al. Fuzzy adaptive extended Kalman filter SLAM algorithm based on the improved wild geese PSO algorithm[J]. Acta physica sinica, 2013, 62(17): 170506. [12] 陈炜楠, 刘冠峰, 李俊良, 等. 室内环境的元胞自动机 SLAM 算法[J]. 机器人, 2016, 38(2): 169–177. CHEN Weinan, LIU Guanfeng, LI Junliang, et al. An in￾door SLAM algorithm based on cellular automata[J]. Ro- [13] bot, 2016, 38(2): 169–177. 宋宇, 李庆玲, 康轶非, 等. 平方根容积 Rao-Blackwil￾lised 粒子滤波 SLAM 算法[J]. 自动化学报, 2014, 40(2): 357–367. SONG Yu, LI Qingling, KANG Yifei, et al. SLAM with square-root cubature Rao-Blackwillised particle filter[J]. Acta automatica sinica, 2014, 40(2): 357–367. [14] 林海波, 柯晶晶, 张毅. 结合粒子群寻优与遗传重采样 的 RBPF 算法[J]. 计算机工程, 2016, 42(11): 295–299. LIN Haibo, KE Jingjing, ZHANG Yi. Rao-Blackwellized particle filter algorithm combined particle swarm optimiz￾ation and genetic Re-sampling[J]. Computer engineering, 2016, 42(11): 295–299. [15] 罗元, 苏琴, 张毅, 等. 基于优化 RBPF 的同时定位与地 图构建[J]. 华中科技大学学报: 自然科学版, 2016, 44(5): 30–34. LUO Yuan, SU Qin, ZHANG Yi, et al. Simultaneous loc￾alization and mapping implementation based on optim￾ized RBPF[J]. Journal of Huazhong university of science and technology: natural science edition, 2016, 44(5): 30–34. [16] 李仁府, 独孤明哲, 胡麟, 等. 基于 QPSO 算法移动机器 人轨迹规划与实验[J]. 控制与决策, 2014, 29(12): 2151–2157. LI Renfu, DOKGO Myong-chol, HU Lin, et al. Mobile robot trajectory planning based on QPSO algorithm and experiment[J]. Control and decision, 2014, 29(12): 2151–2157. [17] 作者简介: 伍永健,男,1992 年生,硕士研究 生,主要研究方向为移动机器人路径 规划。 陈跃东,男,1956 年生,教授,主 要研究方向为传感器信号处理、移动 机器人定位及导航。 陈孟元,男,1984 年生,副教授, 主要研究方向为嵌入式系统开发、图 像处理、传感器信息融合及优化。 第 5 期 伍永健,等:量子粒子群优化下的 RBPF-SLAM 算法研究 ·835·
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