CAD'22 Proceedings最新文献

Operations on Signed Distance Function Estimates 有符号距离函数估计的运算

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.329-333

Csaba Bálint, Gábor Valasek, L. Gergó

{"title":"Operations on Signed Distance Function Estimates","authors":"Csaba Bálint, Gábor Valasek, L. Gergó","doi":"10.14733/cadconfp.2022.329-333","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.329-333","url":null,"abstract":"Introduction: Our paper presents a general theoretical framework to investigate the quantitative aspects of bounding distance functions. We propose a precision de nition that quanti es the accuracy of the min/max representation of set-theoretic operations [5] in the entire space and demonstrate how the precision and the geometric con guration of the arguments determine the accuracy of the resulting approximation. Our theorems can be applied in an arbitrary geometrical context, e.g., for objects with or without volumes, implicit curves, non-di erentiable or non-manifold surfaces, fractals, and any combination of these. We identify a subset of Hart's signed distance lower bounds [3] called signed distance function estimates (SDFE) and show that the sphere tracing algorithm retains convergence under set-theoretic union and intersection operations, a result for which a general derivation has not yet been presented. Most so-called distance estimates used by the industry and the online creative coding communities such as ShaderToy are SDFEs, placing no practical restrictions on the applicability of our results. This paper builds upon the theoretical results of Luo et al. [4], Bálint et al.[1], and Valasek et al. [6].","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Collision-Free Multi-Axis Tool-Path for Additive Manufacturing 面向增材制造的无碰撞多轴刀具路径

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.297-301

R. Nishat, Yeganeh Bahoo, Konstantinos Georgiou, R. Hedrick, J. Urbanic

引用次数: 0

On the Use of Quality Metrics to Characterize Structured Light-based Point Cloud Acquisitions 关于使用质量度量来描述基于结构光的点云获取

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.344-349

Tingcheng Li, R. Lou, A. Polette, Zilong Shao, Dominique Nozais, J. Pernot

引用次数: 0

Invariance Class-based Surface Reconstruction using Deep Learning 基于深度学习的不变性类表面重构

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.350-354

Yifan Qie, N. Anwer

引用次数: 0

Step towards Informatization: Restrictive Factors and Strategies of BIM Technique’s Popularization in China's AEC Field and Its Adoption in Professional Practice 迈向信息化:BIM技术在中国AEC领域推广及在专业实践中的应用的制约因素与策略

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.360-366

Wang Luli, Zhang Linyi, Zhang Hao

引用次数: 0

An Approach for Volume Decomposition in Robot-Based Additive Manufacturing 机器人增材制造中体积分解方法研究

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.313-317

Jacopo Lettori, Roberto Raffaeli, Milton Borsato, M. Pellicciari, M. Peruzzini

引用次数: 0

Design Automation of Lattice-based Customized Orthopedic for Load-bearing Implants 基于点阵的定制骨科承重植入物设计自动化

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.308-312

Lorenzo Guariento, F. Buonamici, A. Marzola, M. Scorianz, Y. Volpe

{"title":"Design Automation of Lattice-based Customized Orthopedic for Load-bearing Implants","authors":"Lorenzo Guariento, F. Buonamici, A. Marzola, M. Scorianz, Y. Volpe","doi":"10.14733/cadconfp.2022.308-312","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.308-312","url":null,"abstract":"Introduction: Additive Manufacturing (AM) has emerged as a central factor in the transformation of the healthcare industry, as it has allowed the improvement of patient care in several clinical areas. In orthopedics, surgeons have reduced the invasiveness of surgical interventions, which can now be performed relying on customized tools specifically manufactured for the patient, and have improved the surgical outcome [1]. Patients’ safety and satisfaction have consequently seen an increase in the last years [2]. More importantly, because AM allows for the rebuilding of severely damaged bones and the restoration of joint kinematics that would otherwise be untreatable, it is directly helping to the advancement of the medical field. In this scenario, the diffusion of custom orthopedic prostheses is hindered by the effort required to design such specific devices, whose shape and features are influenced by the patient's anatomy and anamnesis. Indeed, the design phase of such devices is cumbersome and time-consuming, as it involves different human skills (medical and engineering) and resources (medical imaging and 3D modeling software systems). This ultimately leads to a timeconsuming process that implies significant costs. The goal of the present work is to optimize and automate the design phase and 3D modeling of custom orthopedic implants, with the aim of making such devices more and more accessible, safer and with better performances compared to the state of the art. Specifically, regarding the automation of orthopedic implant design, an algorithm has been developed within nTopology [3] that is able to generate the 3D model of pelvic prosthesis in 2±0.15 minutes starting from simple CAD inputs. The goal is to develop a simple and effective tool within the reach of non-expert CAD users, reduce design time and the related costs.","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115293464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Efficient Sizing Optimization using ANN Instead of FEM 用人工神经网络代替有限元法优化尺寸

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.277-281

Masakazu Kobayashi, Y. Ogawa

引用次数: 0

A Modeling Method for Heterogeneous Lattice Structures based on Convolution Surface 一种基于卷积曲面的非均质晶格结构建模方法

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.392-397

Yuan Liu, Hui Yang

引用次数: 0

Proceedings of CAD’22, Beijing, China, July 11-13, 2022, 282-286 © 2022 CAD Solutions, LLC, http://www.cad-conference.net Title: Perspectives on User’s Acceptance of Human-machine Interface in Autonomous Vehicles CAD ' 22学报，北京，2022年7月11-13日，282-286©2022 CAD Solutions, LLC, http://www.cad-conference.net标题:自动驾驶汽车人机界面用户接受度的视角

CAD'22 Proceedings Pub Date : 2022-06-08 DOI: 10.14733/cadconfp.2022.282-286

Ming Yan, L. Rampino, C. Giandomenico

{"title":"Proceedings of CAD’22, Beijing, China, July 11-13, 2022, 282-286 © 2022 CAD Solutions, LLC, http://www.cad-conference.net Title: Perspectives on User’s Acceptance of Human-machine Interface in Autonomous Vehicles","authors":"Ming Yan, L. Rampino, C. Giandomenico","doi":"10.14733/cadconfp.2022.282-286","DOIUrl":"https://doi.org/10.14733/cadconfp.2022.282-286","url":null,"abstract":"Autonomous driving technology has been significantly developed in the last years. However, several issues must be addressed to make it universally accepted. Through a literature review, this paper summarizes the existing research on the role of human-machine interfaces (HMIs)on users’ acceptance in autonomous vehicles from the perspective of interaction design. First, the paper reviews the fundamental changes in the way users interact with autonomous vehicles focusing on: (i) the transfer of vehicle control between human drivers and artificial intelligence; (ii) the user experience of non-drivingrelated tasks (NDRTs); (iii) autonomous driving in public transportation; (iv) the impact of external HMI on vulnerable road users (VRUs). Then, the paper analyzes the concept of acceptability and describes the existing user acceptance model. Finally, the paper examines the future challenges for promoting a deeper exploration of the potential of autonomous vehicle interfaces design and proposes areas worthy of research to increase the user's acceptance of this technology.","PeriodicalId":316648,"journal":{"name":"CAD'22 Proceedings","volume":" 20","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113950291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0