Knowledge Commons of Institute of Automation,CAS
Interaction-Aware Trajectory Prediction with Point Transformer | |
Yahui, Liu1,2; Xingyuan, Dai1,2; Jianwu, Fang3; Bin, Tian1,2; Yisheng, Lv1,2 | |
2023-09 | |
会议名称 | IEEE International Conference on Intelligent Transportation Systems |
页码 | 5694-5699 |
会议日期 | 24-28 September 2023 |
会议地点 | Bilbao, Bizkaia, Spain |
摘要 | To ensure safe and efficient autonomous driving, trajectory prediction system must account for social interactions among road participants. Graph-based models are leading approaches in modeling social interactions for trajectory prediction, but they face the challenges of designing an appropriate graph structure and processing complex interactions. We consider that the participants in a scene are a set of unstructured points, which are similar to point cloud data. Inspired by |
关键词 | trajectory prediction |
收录类别 | EI |
七大方向——子方向分类 | 人工智能+交通 |
国重实验室规划方向分类 | 先进智能应用与转化 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56528 |
专题 | 多模态人工智能系统全国重点实验室 |
通讯作者 | Yisheng, Lv |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.Chang'an University, |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yahui, Liu,Xingyuan, Dai,Jianwu, Fang,et al. Interaction-Aware Trajectory Prediction with Point Transformer[C],2023:5694-5699. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
ITSC2023_Interaction(519KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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