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Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 6, 页码: 3285-3302
作者:  Song, Xiao;  Chen, Kai;  Li, Xu;  Sun, Jinghan;  Hou, Baocun;  Cui, Yong;  Zhang, Baochang;  Xiong, Gang;  Wang, Zilie
收藏  |  浏览/下载：249/0  |  提交时间：2021/08/15
Trajectory  Predictive models  Neural networks  Force  Mathematical model  Feature extraction  Tensors  Pedestrian behavior  convolution  long short-term memory  neural network  
A Novel Case of Practical Exponential Observer Using Extended Kalman Filter 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 58004-58011
作者:  Ji, Daxiong;  Deng, Zhi;  Li, Shuo;  Ma, Dongfang;  Wang, Tao;  Song, Wei;  Zhu, Shiqiang;  Wang, Zhi;  Pan, Hongjun;  Sharma, Sanjay;  Yang, Xu
收藏  |  浏览/下载：231/0  |  提交时间：2019/01/08
Discrete-time nonlinear system  extended Kalman filter  exponential observer  restrictions  spectral norm