On the precise quantification of the impact of a single discretionary lane change on surrounding traffic

Autor: Hou, Kangning, Zou, Jia, Zheng, Fangfang, Liu, Xiaobo, He, Zhengbing

Lane-changing is a critical maneuver of vehicle driving, and a comprehensive understanding of its impact on traffic is essential for effective traffic management and optimization. Unfortunately, existing studies fail to adequately distinguish the imp

Externí odkaz: http://arxiv.org/abs/2407.18557

Dynamic Cooperative Vehicle Platoon Control Considering Longitudinal and Lane-changing Dynamics

Autor: Hou, Kangning, Zheng, Fangfang, Liu, Xiaobo, Fan, Zhichen

This paper presents a distributed cascade Proportional Integral Derivate (DCPID) control algorithm for the connected and automated vehicle (CAV) platoon considering the heterogeneity of CAVs in terms of the inertial lag. Furthermore, a real-time dyna

Externí odkaz: http://arxiv.org/abs/2201.08553

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Optic Disc Detection from Fundus Photography via Best-Buddies Similarity

Autor: Jian Lian, Yunlong He, Weikuan Jia, Yuanjie Zheng, Naiwen Liu, Hou Kangning

Publikováno v: Applied Sciences, Vol 8, Iss 5, p 709 (2018)
Applied Sciences; Volume 8; Issue 5; Pages: 709
Applied Sciences
Applied Sciences, MDPI, 2018, 8 (5), pp.709. ⟨10.3390/app8050709⟩

Robust and effective optic disc (OD) detection is a necessary processing step in the research work of the automatic analysis of fundus images. In this paper, we propose a novel and robust method for the automated detection of ODs from fundus photogra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8aa601ee19743907b80c60e112c8b95
http://www.mdpi.com/2076-3417/8/5/709