Výsledky vyhledávání - "Zhang, Yizhai"

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Asynchronous Event-Inertial Odometry using a Unified Gaussian Process Regression Framework

Autor: Li, Xudong, Wang, Zhixiang, Liu, Zihao, Zhang, Yizhai, Zhang, Fan, Yao, Xiuming, Huang, Panfeng

Recent works have combined monocular event camera and inertial measurement unit to estimate the $SE(3)$ trajectory. However, the asynchronicity of event cameras brings a great challenge to conventional fusion algorithms. In this paper, we present an

Externí odkaz: http://arxiv.org/abs/2412.03136

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Self-reconfiguration Strategies for Space-distributed Spacecraft

Autor: Liu, Tianle, Wang, Zhixiang, Zhang, Yongwei, Wang, Ziwei, Liu, Zihao, Zhang, Yizhai, Huang, Panfeng

This paper proposes a distributed on-orbit spacecraft assembly algorithm, where future spacecraft can assemble modules with different functions on orbit to form a spacecraft structure with specific functions. This form of spacecraft organization has

Externí odkaz: http://arxiv.org/abs/2411.17137

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AsynEIO: Asynchronous Monocular Event-Inertial Odometry Using Gaussian Process Regression

Autor: Wang, Zhixiang, Li, Xudong, Zhang, Yizhai, Zhang, Fan, Panfeng

Event cameras, when combined with inertial sensors, show significant potential for motion estimation in challenging scenarios, such as high-speed maneuvers and low-light environments. There are many methods for producing such estimations, but most bo

Externí odkaz: http://arxiv.org/abs/2411.12175

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An Integrating Comprehensive Trajectory Prediction with Risk Potential Field Method for Autonomous Driving

Autor: Wu, Kailu, Liu, Xing, Bian, Feiyu, Zhang, Yizhai, Huang, Panfeng

Due to the uncertainty of traffic participants' intentions, generating safe but not overly cautious behavior in interactive driving scenarios remains a formidable challenge for autonomous driving. In this paper, we address this issue by combining a d

Externí odkaz: http://arxiv.org/abs/2404.00893

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AsynEVO: Asynchronous Event-Driven Visual Odometry for Pure Event Streams

Autor: Wang, Zhixiang, Li, Xudong, Zhang, Yizhai, Huang, Panfeng

Event cameras are bio-inspired vision sensors that asynchronously measure per-pixel brightness changes.The high-temporal resolution and asynchronicity of event cameras offer great potential for estimating robot motion states. Recent works have adopte

Externí odkaz: http://arxiv.org/abs/2402.16398

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Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition

Autor: Liu, Zihao, Liu, Xing, Zhang, Yizhai, Liu, Zhengxiong, Huang, Panfeng

Robotic manipulation holds the potential to replace humans in the execution of tedious or dangerous tasks. However, control-based approaches are not suitable due to the difficulty of formally describing open-world manipulation in reality, and the ine

Externí odkaz: http://arxiv.org/abs/2311.11287

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