Computer and Modernization ›› 2023, Vol. 0 ›› Issue (02): 17-23.
Previous Articles Next Articles
Online:
2023-04-10
Published:
2023-04-10
WU Song-lin, ZHANG Guo-wei, LU Qiu-hong, SHI Jian-zhuang, HUANG Wei. Laser SLAM Mapping Method Based on Visual Information[J]. Computer and Modernization, 2023, 0(02): 17-23.
[1] | DISSANAYAKE G, HUANG S D, WANG Z, et al. A review of recent developments in simultaneous localization and mapping[C]// 2011 6th International Conference on Industrial and Information Systems. 2011:477-482. |
[2] | DISSANAYAKE G, DURRANT-WHYTE H, BAILEY T. A computationally efficient solution to the simultaneous localisation and map building (SLAM) problem[C]// Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings. 2000:1009-1014. |
[3] | 王忠立,赵杰,蔡鹤皋. 大规模环境下基于图优化SLAM的图构建方法[J]. 哈尔滨工业大学学报,2015,47(1):75-85. |
[4] | 桑迪. 基于图优化激光SLAM的AGV室内自主导航算法研究[D]. 济南:山东大学,2019. |
[5] | ZHANG W S, LIU X, YUAN J R, et al. RCNN-based foreign object detection for securing power transmission lines (RCNN4SPTL)[J]. Procedia Computer Science, 2019,147(C):331-337. |
[6] | LU F, MILIOS E. Globally consistent range scan alignment for environment mapping[J]. Autonomous Robots, 1997,4(4):333-349. |
[7] | THRUN S, BURGARD W, FOX D. Probabilistic robotics (intelligent robotics and autonomous agents)[M].The MIT Press,2005. |
[8] | GRISETTI G, STACHNISS C, BURGARD W. Improved techniques for grid mapping with rao-blackwellized particle filters[J]. IEEE Transactions on Robotics, 2007,23(1):34-46. |
[9] | REN S, HE K, GIRSHICK R, et al. Faster R-CNN: Towards real-time object detection with region proposal networks[C]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017,39(6):1137-1149. |
[10] | 罗元,余佳航,汪龙峰,等. 改进RBPF的移动机器人同步定位与地图构建[J]. 智能系统学报, 2015,10(3):460-464. |
[11] | DOUCET A, GODSILL S J, RIEU C. On sequential simulation-based methods for Bayesian altering [D]. Cam-bridge, University of Cambridge, 2000. |
[12] | 张毅,郑潇峰,罗元,等. 基于高斯分布重采样的 |
RaoBlackwellized粒子滤波SLAM算法[J]. 控制与决策, 2016,31(12):2299-2304. | |
[13] | 孙弋,张笑笑. 结合退火优化和遗传重采样的RBPF算法[J]. 西安科技大学学报, 2020,40(2):349-355. |
[14] | 陈科圻,朱志亮,邓小明,等. 多尺度目标检测的深度学习研究综述[J]. 软件学报, 2021,32(4):1201-1227. |
[15] | 张明明. 基于迁移学习的无人机场景轻量级网络目标检测[D]. 徐州:中国矿业大学, 2021. |
[16] | QIN Z, Li Z M, ZHANG Z N, et al. ThunderNet: Towards real-time generic object detection on mobile devices[C]// 2019 IEEE/CVF International Conference on Computer Vision (ICCV). 2019:6717-6726. |
[17] | YANG Y, WU F C. Real-Time traffic sign detection via color probability model and integral channel features[C]// Chinese Conference on Pattern Recognition. 2014:545-554. |
[18] | CAI M, ZHAN H Y, WEERASEKERA C S, et al. Camera relocalization by exploiting multi-View constraints for scene coordinates regression[C]// 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). 2019:3769-3777. |
[19] | 冯冠元. 基于室内三维稠密地图的视觉定位关键技术研究[D]. 哈尔滨:哈尔滨工业大学, 2019. |
[20] | LONG J, SHELLHAMER E, DARRELL T. Fully convolutionnnal networks for semantic segmentation[C]// 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2015:3431-3440. |
[21] | REDMON J, FARHADI A. YOLO9000: Better, faster, stronger[C]// 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017:6517-6525. |
[22] | REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: Unified, real-time object detection[C]// 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016:779-788. |
[23] | 向玉云,黄铝文. 基于生物激励神经网络的室内实时激光SLAM控制方法[J]. 信息与控制, 2021,50(6):709-721. |
[24] | STIGLER S M. Thomas bayes’s bayesian inference [J]. Journal of the Royal Statistical Society. 1982,145(2): 250-258.. |
[25] | 辛妙妙. 基于改进RANSAC算法的激光点云建筑物自动提取方法研究[D]. 西安:长安大学, 2020. |
[26] | 王文,徐亦白,卢杉,等. 一种结合区域检测和语义分割的SLAM技术[J]. 计算机与现代化, 2019(7):55-60. |
[27] | MASSICETI D, KRULL A, BRACHMANN E, et al. Random forests versus neural networks—What’s best for camera localization?[C]// 2017 IEEE International Conference on Robotics and Automation (ICRA). 2017:5118-5125. |
[28] | BRACHMANN E, KRULL A, NOWOZIN S, et al. DSAC — Differentiable RANSAC for camera localization[C]// 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017:2492-2500. |
[29] | GOODFELLOW I, BENGIO Y, COURVILLE A. Deep Learning [M]. Cambridge: MIT Press,2016. |
[30] | CHEN Y P, FAN H Q, XU B, et al. Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution[C]// 2019 IEEE/CVF International Conference on Computer Vision (ICCV). 2019:3434-3443. |
[31] | GIRSHICK R, DONAHUE J, DARRELL T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]// 2014 IEEE Conference on Computer Vision and Pattern Recognition. 2014:580-587. |
[32] | STACHNISS C, FREESEZ U, GRISETTI G. GMapping Code [EB/OL]. [2017-08-26]. http://www.openslam.org. |
[1] | LIANG Tian-kai, HUANG Kang-hua, LIU Kai-hang, LAN Lan, ZENG Bi. Deep Federated Image Classification Method Based on Bilateral Homomorphic Encryption [J]. Computer and Modernization, 2023, 0(12): 36-40. |
[2] | WANG Yu-hang, DONG Bao-liang, GONG Chao, SHANG Zhen-zhen, YAO Kang-ning. Dynamic Threat Assessment of Air Swarm Targets Based on Intent Recognition [J]. Computer and Modernization, 2023, 0(12): 100-104. |
[3] | GU Ming-xuan, FAN Bing-bing. Feature-level Multimodal Fusion for Depression Recognition [J]. Computer and Modernization, 2023, 0(10): 17-22. |
[4] | LI Shi-da, XIANG Jian-wen. A Weakened Joint Reinforcement Method to Improve Robustness of Image Recognition Models [J]. Computer and Modernization, 2023, 0(10): 70-76. |
[5] | LIU Fu-qi, ZHANG Da, SONG Jian-hua, WANG Hai-dong. Fault Diagnosis of Hydraulic Systems Based on CNN-BiLSTM [J]. Computer and Modernization, 2023, 0(09): 10-19. |
[6] | XU Ye-tong, GENG Xin-zhe, ZHAO Wei-qiang, ZHANG Yue, NING Hai-long, LEI Tao. A Remote Sensing Image Change Detection Model Based on CNN-Transformer Hybrid Structure [J]. Computer and Modernization, 2023, 0(07): 79-85. |
[7] | NIU Yu-heng, LI Yong-ke, CHEN Yan-hong, JANG Ping-an. Image Segmentation Method of Residual Film on Cotton Field Surface Based on Improved SegFormer Model#br# [J]. Computer and Modernization, 2023, 0(07): 93-98. |
[8] | HUANGFU Xiao-ying, QIAN Hui-min, HUANG Min. A Review of Deep Neural Networks Combined with Attention Mechanism [J]. Computer and Modernization, 2023, 0(02): 40-49. |
[9] | ZHANG Xiao, LYU Ji-yu, ZHAO Shuang, WU Yu-lun, WANG Chun-le. SAR Ship Classification Based on Multi-convolutional Neural Network Fusion [J]. Computer and Modernization, 2023, 0(01): 37-42. |
[10] | QIAN Xiao-zhao, WANG Peng. Robust Defense Method for Graph Convolutional Neural Network [J]. Computer and Modernization, 2023, 0(01): 74-80. |
[11] | SHI Zhi-wei, WU Zhi-feng, ZHANG Zhe. Stock Volatility Prediction of LightGBM-GRU Model under Corrective Learning Strategy [J]. Computer and Modernization, 2023, 0(01): 95-102. |
[12] | HUANG Yan-hui, LAN Hai, WEI Xian. Lightweight Vision Transformer Based on Separable Structured Transformations [J]. Computer and Modernization, 2022, 0(10): 75-81. |
[13] | LI Wei-qiang, WANG Dong, NING Zheng-tong, LU Ming-liang, QIN Peng-fei. Survey of Fruit Object Detection Algorithms in Computer Vision [J]. Computer and Modernization, 2022, 0(06): 87-95. |
[14] | YAO Chun-hua, ZHANG Xue-lei, SONG Xing-yu, ZHANG Ju, CAI Jia-zhi, FENG Ao. A Financial News Sentiment Analysis Method Based on Graph Convolutional Neural Network and Dependency Analysis [J]. Computer and Modernization, 2022, 0(05): 33-39. |
[15] | LIU Ya-nan, GUO Nan, ZHAO Yang, YU Kuang-lu, . BOTDA Sensing Information Extraction Based on Artificial Neural Network Using Whale Optimization Algorithm [J]. Computer and Modernization, 2021, 0(12): 19-26. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||