Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Zang, Zirui"'
Estimating ego-pose from cameras is an important problem in robotics with applications ranging from mobile robotics to augmented reality. While SOTA models are becoming increasingly accurate, they can still be unwieldy due to high computational costs
Externí odkaz:
http://arxiv.org/abs/2404.13288
Driving under varying road conditions is challenging, especially for autonomous vehicles that must adapt in real-time to changes in the environment, e.g., rain, snow, etc. It is difficult to apply offline learning-based methods in these time-varying
Externí odkaz:
http://arxiv.org/abs/2303.13694
Safety-critical Autonomous Systems require trustworthy and transparent decision-making process to be deployable in the real world. The advancement of Machine Learning introduces high performance but largely through black-box algorithms. We focus the
Externí odkaz:
http://arxiv.org/abs/2212.00544
Autor:
He, Jiyue, Pertsov, Arkady M., Cherry, Elizabeth M., Fenton, Flavio H., Roney, Caroline H., Niederer, Steven A., Zang, Zirui, Mangharam, Rahul
Over the past two decades there has been a steady trend towards the development of realistic models of cardiac conduction with increasing levels of detail. However, making models more realistic complicates their personalization and use in clinical pr
Externí odkaz:
http://arxiv.org/abs/2210.16497
Robot localization is an inverse problem of finding a robot's pose using a map and sensor measurements. In recent years, Invertible Neural Networks (INNs) have successfully solved ambiguous inverse problems in various fields. This paper proposes a fr
Externí odkaz:
http://arxiv.org/abs/2209.11925
Autor:
Betz, Johannes, Zheng, Hongrui, Zang, Zirui, Sauerbeck, Florian, Walas, Krzysztof, Dimitrov, Velin, Behl, Madhur, Zheng, Rosa, Biswas, Joydeep, Krovi, Venkat, Mangharam, Rahul
Although robotics courses are well established in higher education, the courses often focus on theory and sometimes lack the systematic coverage of the techniques involved in developing, deploying, and applying software to real hardware. Additionally
Externí odkaz:
http://arxiv.org/abs/2209.11181
The 3rd Japan Automotive AI Challenge was an international online autonomous racing challenge where 164 teams competed in December 2021. This paper outlines the winning strategy to this competition, and the advantages and challenges of using the Auto
Externí odkaz:
http://arxiv.org/abs/2206.00770
Akademický článek
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Akademický článek
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Autor:
Chen, Feng1 (AUTHOR), Zang, Junxin1 (AUTHOR), Wang, Zirui1 (AUTHOR), Wang, Jing1 (AUTHOR), Shi, Lingling1 (AUTHOR), Xiu, Yu1 (AUTHOR), Lin, Shanzhi1 (AUTHOR) szlin@bjfu.edu.cn, Lin, Weijun2 (AUTHOR) linweijun0316@163.com
Publikováno v:
BMC Plant Biology. 6/21/2024, Vol. 24 Issue 1, p1-18. 18p.
