SN computer science最新文献

Variable Trust Control Setting for Autonomous Vehicle Highway Navigation and Improved User Experience. 自动驾驶汽车公路导航的可变信任控制设置与用户体验改善。

SN computer science Pub Date : 2025-01-01 Epub Date: 2025-03-13 DOI: 10.1007/s42979-025-03714-x

James E Pickering, Jisun Kim, Joshua D'Souza, Keith J Burnham

{"title":"Variable Trust Control Setting for Autonomous Vehicle Highway Navigation and Improved User Experience.","authors":"James E Pickering, Jisun Kim, Joshua D'Souza, Keith J Burnham","doi":"10.1007/s42979-025-03714-x","DOIUrl":"https://doi.org/10.1007/s42979-025-03714-x","url":null,"abstract":"This paper addresses the development of a model-based design approach to enhance the acceptance of safe manoeuvrability of autonomous vehicles (AVs) on highways. A variable trust control setting (TCS) is introduced that empowers users to 'feel in control' of the AV, potentially increasing confidence in, and acceptance of, the technology. This setting is grounded in deontological ethics and utilises virtual boundaries (VBs) to guide driving decisions, i.e., the distance between two AVs interacting with one another. The approach is simulated using a dynamic bicycle model that represents each AV, controlled through an adaptive model-predictive control (MPC) algorithm. The paper outlines the MPC approach, the dynamic bicycle model, and the associated velocity control algorithm. Metrics are introduced to quantify safety of specific AV manoeuvres during interactions with other AVs, enabling the examination of various scenarios. A novel simulation package has been developed to investigate the impact of the proposed variable TCS, focusing on how VBs and steering limitations influence the safety and comfort of AVs during overtaking manoeuvres. The findings demonstrate the effectiveness of this approach, showing that it could potentially allow users to actively manage the safety and comfort aspects of AV operation.","PeriodicalId":94207,"journal":{"name":"SN computer science","volume":"6 3","pages":"278"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11906505/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143652926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Effects of Visual Behavior and Ego-Movement on Foveated Rendering Performance in Virtual Reality. 虚拟现实中视觉行为和自我运动对注视点渲染性能的影响。

SN computer science Pub Date : 2025-01-01 Epub Date: 2025-04-15 DOI: 10.1007/s42979-025-03885-7

David Petrescu, Paul A Warren, Zahra Montazeri, Gabriel Strain, Steve Pettifer

{"title":"The Effects of Visual Behavior and Ego-Movement on Foveated Rendering Performance in Virtual Reality.","authors":"David Petrescu, Paul A Warren, Zahra Montazeri, Gabriel Strain, Steve Pettifer","doi":"10.1007/s42979-025-03885-7","DOIUrl":"https://doi.org/10.1007/s42979-025-03885-7","url":null,"abstract":"Despite the recent developments in VR, maintaining photorealism is difficult due to the increased bandwidth capabilities and computational resources required. To make VR more affordable, techniques such as Foveated Rendering (FR) offer promising ways to optimise rendering without compromising the user experience. Near-eye displays with 6DOF tracking enable users to freely move through the environment. This was previously impossible with traditional displays. This work aims to disentangle the effect of type of ego-movement (Active versus Implied) and task type (Simple Fixations versus a task involving Fixations, Discrimination, and Counting) on a dynamic FR method developed using Variable Rate Shading (VRS) (a quarter of the native shading rate is used in the visual periphery). We also explore if the aforementioned effects are consistent under different visual behaviours (visual search versus tracking). Results show that participants actively moving and performing complex tasks (during visual search) are less sensitive to degradation than in other conditions, with only 31.7% of the FOV required to be rendered using full sampling. Additionally, we provide evidence for how instances of visual pursuit might influence these results; in this case, only 29.3% of the FOV rendered using full sampling is tolerated by participants.","PeriodicalId":94207,"journal":{"name":"SN computer science","volume":"6 4","pages":"386"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12000250/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144061252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Renaissance of Fuzzy and Fast Matching Entity with DSHS Algorithm 利用 DSHS 算法实现模糊和快速匹配实体的复兴

SN computer science Pub Date : 2024-07-27 DOI: 10.1007/s42979-024-03093-9

Venkatram Kari, Geetha Mary Amalanathan