检索结果-内蒙古大学图书馆

Maneuver identification using elastic template matching: multi-case study ⁎

IFAC-PapersOnLine 2019年第19期52卷 305-310页

作者： Christina Schmid Pavlo Tkachenko Jinwei Zhou Luigi del Re Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Altenberger Strasse 69 A-404O Linz Austria

Advanced driver assistance systems (ADAS), which can either help to prevent accidents or reduce their negative consequences by intervening in a wide variety of ways, are the solution of choice for considerably greater safety in traffic and comfortable driving. Further, they can be used to perform various improvements such as optimizing fuel consumption or emissions. In conjunction with the driver, they form human machine systems (HMS) with varying degrees of complexity and automation. In order to pass the numerous checks and meet certain standards, ADAS must recognize the surrounding traffic as quickly and accurately as possible in order to act upon it. As a result, rapid and accurate identification methods are required to ensure this. Available approaches still have a lot of potential for optimization in terms of speed and accuracy and in the present work we are aiming to improve the elastic template matching algorithm developed by the authors in a previous study. We extend the approach with a training-free continuous and simultaneous detection of several maneuvers by means of the so-called Nearest Neighbour Algorithm, which in our case transforms into Nearest Centroid Classifier. Moreover, the approach can be easily used for multi-vehicle scenarios; though by treating each vehicle as a separate object without taking into account their interactions.

关键词： Maneuver Identification DTW Nearest Centroid Template

来源：评论

学校读者我要写书评

暂无评论

A risk-constrained and energy efficient stochastic approach for autonomous overtaking 16

A risk-constrained and energy efficient stochastic approach ...

引用

16th European control Conference, ECC 2018

作者： Ramezani, Zahra Gagliardi, Davide Re, Luigi Del Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria

ISBN: (纸本)9783952426982

In this paper a control approach for safe and energy efficient autonomous overtaking is presented. The proposed method combines a stochastic approach based on the use of safety indicators as the Time headway (TH) and Time to collision (TTC) as boundary conditions and a cost index on fuel consumption for the trajectory of an Ego vehicle in a traffic environment. The approach has been evaluated in two typical overtaking scenarios: 1) braking of the leading vehicle and 2) entry of a third vehicle in the gap between the leading and the ego vehicle. The efficiency of TH and TTC- based stochastic approach have been compared for the same maximal risk threshold. Results show that both risk function are suitable to perform overtaking manoeuvres both with and without an additive fuel cost. Moreover the TTC-based stochastic approach shows a reduction of about 5{%} in fuel consumption with respect to the TH-based approach for both considered scenarios. © 2018 European control Association (EUCA).

关键词： Vehicles

来源：评论

学校读者我要写书评

暂无评论

Two layer optimal vehicle control for known routes

引用

IFAC-PapersOnLine 2018年第31期51卷 246-251页

作者： Polterauer P. del Re L. Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Linz 4040 Austria

Autonomous vehicles could bring a significant benefit in terms of fuel consumption and emissions, besides safety and comfort, but the full potential can only be exploited if the appropriate (optimal) control is applied. However complexity of optimal control can prevent its use in practice. Therefore, we suggest to approximate the optimal vehicle control problem by a two-layer structure in which the upper level provides a solution for the reference speed trajectory using energy consumption as cost function, while the lower one optimally tracks the reference speed considering fuel consumption and emissions. The key advantage is the simplicity of the upper layer, which reduces the computational burden, albeit with some expected loss of optimality if compared to the global optimum. The control and results are shown using a model of a production vehicle with a CI engine. The possibility of using this approach to trade-off fuel vs. NOx is discussed. The authors believe that splitting the optimization problem into a multilayer structure is a sensible approach to enforce computational tractability while recovering part of the optimization potential © 2018

关键词： Autonomous Driving Dynamic Programming Optimal control Vehicle Modeling

来源：评论

学校读者我要写书评

暂无评论

Microscopic driving behavior modelling at highway entrances using Bayesian network

Microscopic driving behavior modelling at highway entrances ...

引用

American control Conference

作者： Junpeng Deng Davide Gagliardi Luigi Del Re Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Linz 4040 Austria

ISBN: (纸本)9781538679012;9781538679265

Entrances into highway represent critical sections, as entering vehicles are bound to merge with the existing traffic at a fixed junction point almost independently from the traffic conditions-in some sense a "constrained" cut-in manoeuver. Advanced driver-assistance systems (ADAS) need to perform correctly under these conditions as well, but could also be used to facilitate merging and reducing risks. In particular, vehicles on the main road could adapt their speeds-or even change lane-provided an estimate of the entering vehicle's time to merge is available, exactly as a human driver would do. This paper is concerned with providing such an estimate. To this end, we observe that the speed profile on the entering ramps is rather well predictable if the acceleration of the entering vehicles is described as a function of their actual distance from the junction point. Still, uncertainties remain and to cope with them, we use a stochastic prediction model based on Dynamic Bayesian Network. The result are probability distribution functions of the time to merge based on the observation of speed and distance of the entering vehicle once they become visible to the traffic on the main road. Experimental data are used to illustrate the model structure and the parameter determination. The model quality is then assessed by comparing statistics from simulations with the one recorded on road. The possible use of the model as a tool for traffic prediction algorithm embedded in ADAS and an extension to existing highway stochastic traffic models are shortly discussed at the end of the paper.

关键词： Bayesian networks entry Main roads Freeway vehicle role model Model structures merger Traffic actual distance critical zone Traffic models Driver Behavior

来源：评论

学校读者我要写书评

暂无评论

Simple Strategies for Retrospective Detection of Meals in Diabetes Datasets

引用

IFAC-PapersOnLine 2020年第2期53卷 16380-16385页

作者： E. Mejia Gamarra F. Reiterer P. Tkachenko P. Schrangl G. Freckmann W. Ipanaqué Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm Germany Universidad de Piura Department of Electronics and Automation Urb. San Eduardo Piura Peru

Many model based approaches have been proposed for a personalized insulin therapy in type 1 diabetes (T1D). These approaches rely on patient-specific models of the glucose metabolism which typically need to be identified on high quality data. However, patient data recorded in an at-home setting most often do not meet this criterion, since these are based, among others, on diary entries, which are often erroneous and incomplete. The problem is especially pronounced for recordings of meal intakes which are often accidentally omitted or recorded with wrong time stamps. This paper presents two methods for meal detection based on retrospective analysis of recorded glucose traces. The first method uses the typical signal features of postprandial glucose traces and simple heuristics to detect meals, whereas the second approach relies on similarity measures of glucose traces as compared to postprandial reference profiles. Matching the meal detection results of the algorithms with the actual patient diaries, the methods presented here can be used to find complete, high quality segments in at-home data. Being able to easily distinguish between high and low quality segments in such dataset is expected to improve the reliability of identified patient models.

关键词： Diabetes meal detection biomedical system simulation system identification

来源：评论

学校读者我要写书评

暂无评论

Analyzing the Potential of Advanced Insulin Dosing Strategies in Patients With Type 2 Diabetes: Results From a Hybrid In Silico Study

引用

Journal of Diabetes Science and Technology 2018年第5期12卷 1029-1040页

作者： Reiterer, Florian Reiter, Matthias del Re, Luigi Bechmann Christensen, Merete Nørgaard, Kirsten Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria Hvidovre University Hospital Hvidovre Denmark

Background: The ongoing improvement of continuous glucose monitoring (CGM) sensors and of insulin pumps are paving the way for a fast implementation of artificial pancreas (AP) for type 1 diabetes (T1D) patients. The case for type 2 diabetes (T2D) patients is less obvious since usually some residual beta cell function allows for simpler therapy approaches, and even multiple daily injections (MDI) therapy is not very widespread. However, the number of insulin dependent T2D patients is vastly increasing and therefore a need for understanding chances and challenges of an automated insulin therapy arises. Based on this background, this article analyzes conditions under which the use of more advanced therapeutic approaches, particularly AP, could bring a substantial improvement and should be considered as a viable therapy option. Method: Data of 14 insulin-treated T2D patients on MDI wearing a CGM device and deviation analysis methods were used to estimate the expected improvements in the clinical outcome by using self-monitoring of blood glucose (SMBG) with advanced carbohydrate counting, a full AP or intermediate approaches, either CGM measurements with MDI therapy or SMBG with insulin pump. HbA1C and time in range (70-140 mg/dl, 70-180 mg/dl, respectively) were used as a performance measure. Outcome measures beyond glycemic control (eg, compliance, patient acceptance) have not been analyzed in this study. Results: AP has the potential to improve the condition of many poorly controlled insulin-treated T2D patients. However, as the interpatient variability is much higher than in T1D, a prescreening is recommended to select suitable patients. Conclusions: Clinical criteria need to be developed for inclusion/exclusion of T2D patients for AP related therapies. © 2018 Diabetes Technology Society.

关键词： artificial pancreas deviation analysis diabetes therapy model predictive control type 2 diabetes

来源：评论

学校读者我要写书评

暂无评论

Impact of Carbohydrate Counting Errors on Glycemic control in Type 1 Diabetes

引用

IFAC-PapersOnLine 2018年第27期51卷 186-191页

作者： Reiterer, Florian Freckmann, Guido Re, Luigi del Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH University of Ulm Germany

Patients with type 1 diabetes mellitus (T1DM) typically determine their bolus insulin needs based on methods from Advanced Carbohydrate Counting (ACC). In ACC the amount of required bolus insulin is assumed to be directly proportional to the carbohydrate content of the ingested meal. It is well known that many T1DM patients have difficulties to accurately estimate meal carbohydrates. Though these estimates are used for calculating the meal bolus amount, there is a scarcity of data on how estimation errors affect glycemic control. The current paper analyzes the effect of carb counting errors on glycemic outcomes during basal-bolus-therapy in a simulation study using so-called Deviation Analyses. Furthermore, the effect of inaccurate estimates on the settings of the insulin therapy is studied by means of the previously published Adaptive Bolus Calculator (ABC) algorithm. It is found that whereas random carb counting inaccuracies indeed do lead to an inferior glycemic control, systematic biases in the estimates are expected to hardly affect the results since these are usually implicitly accounted for in the therapy settings. © 2018

关键词： Carbohydrates Errors Identification (control systems) Insulin Mathematical instruments bolus calculator Carbohydrate content Deviation analysis Diabetes management Metabolic control Simulation studies Type 1 diabetes Type 1 diabetes mellitus

来源：评论

学校读者我要写书评

暂无评论

Identification of Mixed-Meal Effects on Insulin Needs and Glycemic control

引用

IFAC-PapersOnLine 2018年第27期51卷 419-424页

作者： Reiterer, Florian Freckmann, Guido del Re, Luigi Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH University of Ulm Germany

Patients with type 1 diabetes mellitus (T1DM) usually determine their bolus insulin requirements using methods from advanced carbohydrate counting (ACC). In standard ACC only the carbohydrate content of the meal is used, whereas newer research suggests that also fat and protein should be considered. Especially meals with a high fat content are reported to require additional insulin. However, it remains disputed how to account for mixed meal composition appropriately when calculating bolus insulin needs. The current paper shows how the previously published Adaptive Bolus Calculator (ABC) method can be used to identify the effect of the mixed meal composition on the bolus insulin requirements. Additionally, a pragmatic strategy is proposed how the mixed meal composition can be taken into account when determining the bolus insulin needs with the ABC method. It is shown in Deviation Analysis simulations that taking into account the mixed meal composition for calculating the bolus insulin needs leads to a small, but statistically significant improvement in glycemic control. © 2019

关键词： Insulin Carbohydrates Identification (control systems) Mathematical instruments bolus calculator Diabetes management Insulin therapy Metabolic control Type 1 diabetes

来源：评论

学校读者我要写书评

暂无评论

SuperMeshing: A new deep learning architecture for increasing the mesh density of metal forming stress field with attention mechanism and perceptual features

arXiv

引用

arXiv 2021年

作者： Xu, Qingfeng Nie, Zhenguo Xu, Handing Zhou, Haosu Liu, Xinjun Tsinghua University Beijing100084 China Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control Tsinghua University Beijing100084 China School of Computing and Information Systems Melbourne School of Engineering University of Melbourne Melbourne3000 Australia School of Mechatronical Engineering Beijing Institute of Technology Beijing100084 China Dyson School of Design Engineering Imperial College London Exhibition Rd LondonSW7 2AZ United Kingdom

In stress field analysis, the finite element analysis is a crucial approach, in which the mesh-density has a significant impact on the results. High mesh density usually contributes authentic to simulation results but costs more computing resources, leading to curtailing efficiency during the design process. To eliminate this drawback, we propose a new data-driven mesh-density boost model named SuperMeshingNet that strengthens the advantages of finite element analysis (FEA) with low mesh-density as inputs to the deep learning model, which consisting of Res-UNet architecture, to acquire high-density stress field instantaneously, shortening computing time and cost automatically. Moreover, the attention mechanism and the perceptual features are utilized, enhancing the performance of SuperMeshingNet. Compared to the baseline that applied the linear interpolation method, SuperMeshingNet achieves a prominent reduction in the mean squared error (MSE) and mean absolute error (MAE) on test data, which contains prior unseen cases. Based on the data set of metal forming, the comparable experiments are proceeded to demonstrate the high quality and superior precision of the reconstructed results generated by our model. The well-trained model can successfully show more excellent performance than the baseline and other methods on the multiple scaled mesh-density, including 2×, 4×, and 8×. With the refined result owning broaden scaling of mesh density and high precision, the FEA process can be accelerated with seldom cost on computation resources. We publicly share our work with full detail of implementation at https://***/zhenguonie/*** Codes 14J60 (Primary) 14F05, 14J26 (Secondary) Copyright © 2021, The Authors. All rights reserved.

关键词： Finite element method

来源：评论

学校读者我要写书评

暂无评论

A Switching Nonlinear MPC Approach for Ecodriving

A Switching Nonlinear MPC Approach for Ecodriving

引用

American control Conference

作者： Philipp Polterauer Gian Paolo Incremona Patrizio Colancri Luigi del Re Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Linz 4040 Austria Politecnico di Milano Milano Piazza Leonardo da Vinci 32 20133 Italy

ISBN: (纸本)9781538679012;9781538679265

In recent years many works focusing on improved vehicle fuel efficiency through advanced control have been carried out, reflecting the high interest in ecodriving of vehicles. Although many studies have shown the potential that optimal control based ecodriving can offer, these solution are often difficult to be translated into online control strategies, one of the reasons being the complexity of the optimal control problem and therefore the computational burden. To cope with this a novel online approach, based on switching Nonlinear Model Predictive control (NMPC), is proposed. The NMPC strategy is developed for the case of conventional vehicles, where gear shifting and longitudinal dynamics are controlled. It is shown that our proposal can operate in real time, while recovering most of the performance achievable by an offline optimal solution. The development of the method is described in detail and its performance is analyzed. The results show that the proposed NMPC can successfully solve the ecodriving task and seems a good compromise between computational burden and performance suitable for field implementation.

关键词： Optimal control Gear shifting vehicle Fuel efficiency Advanced controls nonlinear model predictive control switching

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：