已选(0)清除
条数/页: 排序方式: |
| A Fast Vision-inertial Odometer Based on Line Midpoint Descriptor 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 667-669 作者: Wen-Kuan Li; Hao-Yuan Cai; Sheng-Lin Zhao; Ya-Qian Liu; Chun-Xiu Liu Adobe PDF(10350Kb)  |  收藏  |  浏览/下载:181/40  |  提交时间:2021/07/20 High efficiency visual-inertial odometry (VIO) non-linear optimization points and lines sliding window |
| Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456 作者: Ai-Hua Zheng; Zi-Han Chen; Cheng-Long Li; Jin Tang; Bin Luo Adobe PDF(1832Kb)  |  收藏  |  浏览/下载:270/56  |  提交时间:2021/05/24 Person re-identification (Re-ID) thermal infrared generative networks attention deep learning |
| PLS-CCA Heterogeneous Features Fusion-based Low-resolution Human Detection Method for Outdoor Video Surveillance 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 136-146 作者: Hong-Kai Chen; Xiao-Guang Zhao; Shi-Ying Sun; Min Tan 浏览  |  Adobe PDF(13495Kb)  |  收藏  |  浏览/下载:211/39  |  提交时间:2021/02/23 Low-resolution human detection partial least squares canonical correlation analysis heterogeneous features outdoor video surveillance. |
| A Survey of Scene Understanding by Event Reasoning in Autonomous Driving 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 249-266 作者: Jian-Ru Xue; Jian-Wu Fang; Pu Zhang 浏览  |  Adobe PDF(2242Kb)  |  收藏  |  浏览/下载:109/38  |  提交时间:2021/02/23 Autonomous vehicle scene understanding event reasoning intention prediction scene representation. |
| Large-scale 3D Semantic Mapping Using Stereo Vision 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 194-206 作者: Yi Yang; Fan Qiu1 Hao Li; Lu Zhang; Mei-Ling Wang; Meng-Yin Fu 浏览  |  Adobe PDF(70896Kb)  |  收藏  |  浏览/下载:164/50  |  提交时间:2021/02/23 Semantic map stereo vision motion segmentation visual odometry simultaneous localization and mapping (SLAM). |
| Predictive Adaptive Kalman Filter and Its Application to INS/UWB-integrated Human Localization with Missing UWB-based Measurements 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 604-613 作者: Yuan Xu; Tao Shen; Xi-Yuan Chen; Li-Li Bu; Ning Feng 浏览  |  Adobe PDF(4479Kb)  |  收藏  |  浏览/下载:155/48  |  提交时间:2021/02/22 Indoor human localization tightly-coupled model predictive filtering Kalman filter missing data. |
| Pedestrian Height Estimation and 3D Reconstruction Using Pixel-resolution Mapping Method Without Special Patterns 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 449-461 作者: Bing-Xing Wu; Suat Utku Ay; Ahmed Abdel-Rahim 浏览  |  Adobe PDF(6241Kb)  |  收藏  |  浏览/下载:116/35  |  提交时间:2021/02/22 Traffic monitoring application spatial resolution pixel-resolution mapping (P-RM) method 3D information pedestrian height estimation. |
| A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83 作者: Yuan Wu; Hai-Bing Zhu; Qing-Xiu Du; Shu-Ming Tang 浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载:260/80  |  提交时间:2021/02/22 Inertial measurement unit (IMU) pedestrian dead-reckoning indoor navigation technical route general framework. |
| Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 27-39 作者: Yu Hao; Zhi-Jie Xu; Ying Liu; Jing Wang; Jiu-Lun Fan 浏览  |  Adobe PDF(1521Kb)  |  收藏  |  浏览/下载:213/56  |  提交时间:2021/02/22 Crowd behavior spatial-temporal texture gray level co-occurrence matrix information entropy. |
| Automatic “Ground Truth” Annotation and Industrial Workpiece Dataset Generation for Deep Learning 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 539-550 作者: Fu-Qiang Liu; Zong-Yi Wang 浏览  |  Adobe PDF(1144Kb)  |  收藏  |  浏览/下载:144/51  |  提交时间:2021/02/22 Deep learning dataset generation automatic annotation neural networks industrial workpiece dataset. |