Zobrazeno 1 - 10
of 2 542
pro vyhledávání: '"human motion prediction"'
The ability of intelligent systems to predict human behaviors is crucial, particularly in fields such as autonomous vehicle navigation and social robotics. However, the complexity of human motion have prevented the development of a standardized datas
Externí odkaz:
http://arxiv.org/abs/2411.02673
Precise future human motion prediction over subsecond horizons from past observations is crucial for various safety-critical applications. To date, only one study has examined the vulnerability of human motion prediction to evasion attacks. In this p
Externí odkaz:
http://arxiv.org/abs/2409.19638
Human motion prediction is a cornerstone of human-robot collaboration (HRC), as robots need to infer the future movements of human workers based on past motion cues to proactively plan their motion, ensuring safety in close collaboration scenarios. T
Externí odkaz:
http://arxiv.org/abs/2409.12456
Human motion prediction is crucial for human-centric multimedia understanding and interacting. Current methods typically rely on ground truth human poses as observed input, which is not practical for real-world scenarios where only raw visual sensor
Externí odkaz:
http://arxiv.org/abs/2408.08202
Diverse human motion prediction (HMP) aims to predict multiple plausible future motions given an observed human motion sequence. It is a challenging task due to the diversity of potential human motions while ensuring an accurate description of future
Externí odkaz:
http://arxiv.org/abs/2409.00014
Autor:
Shi, Junyu, Wang, Baoxuan
Human motion prediction based on 3D skeleton is a significant challenge in computer vision, primarily focusing on the effective representation of motion. In this paper, we propose a self-supervised learning framework designed to enhance motion repres
Externí odkaz:
http://arxiv.org/abs/2408.02091
In the realm of stochastic human motion prediction (SHMP), researchers have often turned to generative models like GANS, VAEs and diffusion models. However, most previous approaches have struggled to accurately predict motions that are both realistic
Externí odkaz:
http://arxiv.org/abs/2407.11494
Autonomous mobile robots can rely on several human motion detection and prediction systems for safe and efficient navigation in human environments, but the underline model architectures can have different impacts on the trustworthiness of the robot i
Externí odkaz:
http://arxiv.org/abs/2407.01593
Inferring 3D human motion is fundamental in many applications, including understanding human activity and analyzing one's intention. While many fruitful efforts have been made to human motion prediction, most approaches focus on pose-driven predictio
Externí odkaz:
http://arxiv.org/abs/2405.18700
Autor:
Zhu, Yufei, Fan, Han, Rudenko, Andrey, Magnusson, Martin, Schaffernicht, Erik, Lilienthal, Achim J.
Long-term human motion prediction (LHMP) is essential for safely operating autonomous robots and vehicles in populated environments. It is fundamental for various applications, including motion planning, tracking, human-robot interaction and safety m
Externí odkaz:
http://arxiv.org/abs/2403.13640