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Controlled consistent diffusion network for long-tail trajectory generation

delete2025-12-06
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PRE
AI
赵祥模 (Xiangmo Zhao)
C
Chao Li *
Z
Zhanwen Liu *
N
Nan Yang
余荣杰 (Rongjie Yu)
N
Naikan Ding
DOI:10.1016/j.knosys.2025.115087delete
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Abstract

Abstract

En 中文
• Revealing the primary causation of long-tail trajectories. • Constructing consistency constraint to ensure the realism of generated trajectories. • Enabling long-tail feature control of generated trajectories. • Experiments show the realism of long-tail trajectories generated by our method.

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

T
tongji university
Scholars:
7.8W
Papers: 5.9W
Citations: 98
W
Wuhan University of Technology
Scholars:
3.4W
Papers: 2.4W
Citations: 4.4W