A Recurrent Attention and Interaction Model for Pedestrian Trajectory Prediction
文献类型:期刊论文
作者 | Li Xuesong; Liu Yating; Wang Kunfeng; Wang Fei-Yue |
刊名 | Journal of Automatica Sinica |
出版日期 | 2020 |
期号 | *页码:* |
关键词 | Trajectory prediction recurrent attention and interaction model Long Short-Term Memory deep learning |
英文摘要 | The movement of pedestrians involves temporal continuity, spatial interactivity, and random diversity. As a result, pedestrian trajectory prediction is rather challenging. Most existing trajectory prediction methods tend to focus on just one aspect of these challenges, ignoring the temporal information of the trajectory and making too many assumptions. In this paper, we propose a Recurrent Attention and Interaction (RAI) model to predict pedestrian trajectories. The RAI model consists of a temporal attention module, spatial pooling module, and randomness modeling module. The temporal attention module is proposed to assign different weights to the input sequence of a target, and reduce the speed deviation of different pedestrians. The spatial pooling module is proposed to model not only the social information of neighbors in historical frames, but also the intention of neighbors in the current time. The randomness modeling module is proposed to model the uncertainty and diversity of trajectories by introducing random noise. We conduct extensive experiments on several public datasets. The results demonstrate that our method outperforms many that are stateof-the-art. |
语种 | 英语 |
源URL | [http://ir.ia.ac.cn/handle/173211/39062] |
专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
作者单位 | 1.University of Chinese Academy of Sciences 2.The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Li Xuesong,Liu Yating,Wang Kunfeng,et al. A Recurrent Attention and Interaction Model for Pedestrian Trajectory Prediction[J]. Journal of Automatica Sinica,2020(*):*. |
APA | Li Xuesong,Liu Yating,Wang Kunfeng,&Wang Fei-Yue.(2020).A Recurrent Attention and Interaction Model for Pedestrian Trajectory Prediction.Journal of Automatica Sinica(*),*. |
MLA | Li Xuesong,et al."A Recurrent Attention and Interaction Model for Pedestrian Trajectory Prediction".Journal of Automatica Sinica .*(2020):*. |
入库方式: OAI收割
来源:自动化研究所
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