Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Li, Dachuan"'
Effectively summarizing dense 3D point cloud data and extracting motion information of moving objects (moving object segmentation, MOS) is crucial to autonomous driving and robotics applications. How to effectively utilize motion and semantic feature
Externí odkaz:
http://arxiv.org/abs/2408.10602
Autor:
Lu, Xiao1 (AUTHOR), Li, Dachuan1 (AUTHOR), Lin, Zhidi1 (AUTHOR), Gao, Tian1 (AUTHOR), Gong, Zhaoyang1 (AUTHOR), Zhang, Yuxuan1 (AUTHOR), Wang, Hongli1 (AUTHOR), Xia, Xinlei1 (AUTHOR), Lu, Feizhou1 (AUTHOR), Song, Jian1 (AUTHOR), Xu, Guangyu1 (AUTHOR) gyxu20@fudan.edu.cn, Jiang, Jianyuan1 (AUTHOR) jjy@fudanspine.com, Ma, Xiaosheng1 (AUTHOR) mxshs893@126.com, Zou, Fei1 (AUTHOR) zoufei@huashan.org.cn
Publikováno v:
Aging Cell. Sep2024, Vol. 23 Issue 9, p1-15. 15p.
Providing safety guarantees for Autonomous Vehicle (AV) systems with machine-learning-based controllers remains a challenging issue. In this work, we propose Simplex-Drive, a framework that can achieve runtime safety assurance for machine-learning en
Externí odkaz:
http://arxiv.org/abs/2109.13446
Wireless federated learning (FL) is an emerging machine learning paradigm that trains a global parametric model from distributed datasets via wireless communications. This paper proposes a unit-modulus wireless FL (UMWFL) framework, which simultaneou
Externí odkaz:
http://arxiv.org/abs/2108.13669
Autor:
Ding, Liuhui, Li, Dachuan, Liu, Bowen, Lan, Wenxing, Bai, Bing, Hao, Qi, Cao, Weipeng, Pei, Ke
Uncertainties in Deep Neural Network (DNN)-based perception and vehicle's motion pose challenges to the development of safe autonomous driving vehicles. In this paper, we propose a safe motion planning framework featuring the quantification and propa
Externí odkaz:
http://arxiv.org/abs/2108.05118
Edge intelligence is an emerging network architecture that integrates sensing, communication, computing components, and supports various machine learning applications, where a fundamental communication question is: how to allocate the limited wireles
Externí odkaz:
http://arxiv.org/abs/2010.15371
We study a novel principle for safe and efficient collision avoidance that adopts a mathematically elegant and general framework abstracting as much as possible from the controlled vehicle's dynamics and of its environment. Vehicle dynamics is charac
Externí odkaz:
http://arxiv.org/abs/2008.04080
Publikováno v:
In Fuel 1 January 2023 331 Part 2
Akademický článek
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Autor:
Li, Dachuan1 (AUTHOR), Lu, Xiao1 (AUTHOR), Xu, Guangyu1 (AUTHOR), Liu, Siyang1 (AUTHOR), Gong, Zhaoyang1 (AUTHOR), Lu, Feizhou1 (AUTHOR), Xia, Xinlei1 (AUTHOR), Jiang, Jianyuan1 (AUTHOR), Wang, Hongli1 (AUTHOR) wanghongli0212@163.com, Zou, Fei1 (AUTHOR) dr_zoufei@126.com, Ma, Xiaosheng1 (AUTHOR) mxshs893@126.com
Publikováno v:
CNS Neuroscience & Therapeutics. Jul2023, Vol. 29 Issue 7, p1923-1939. 17p.