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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Quantifying Vision Zero: Crash avoidance in rural and motorway accident scenarios by combination of ACC, AEB, and LKS projected to German accident occurrence

Stark, Lukas, Düring, Michael, Schoenawa, Stefan, Maschke, Jan Enno, Do, Cuong Manh 29 September 2020 (has links)
Objective: The Vision Zero initiative pursues the goal of eliminating all traffic fatalities and severe injuries. Today’s advanced driver assistance systems (ADAS) are an important part of the strategy toward Vision Zero. In Germany in 2018 more than 26,000 people were killed or severely injured by traffic accidents on motorways and rural roads due to road accidents. Focusing on collision avoidance, a simulative evaluation can be the key to estimating the performance of state-of-the-art ADAS and identifying resulting potentials for system improvements and future systems. This project deals with the effectiveness assessment of a combination of ADAS for longitudinal and lateral intervention based on German accident data. Considered systems are adaptive cruise control (ACC), autonomous emergency braking (AEB), and lane keeping support (LKS). Methods: As an approach for benefit estimation of ADAS, the method of prospective effectiveness assessment is applied. Using the software rateEFFECT, a closed-loop simulation is performed on accident scenario data from the German In-Depth Accident Study (GIDAS) precrash matrix (PCM). To enable projection of results, the simulative assessment is amended with detailed single case studies of all treated cases without PCM data. Results: Three categories among today’s accidents on German rural roads and motorways are reported in this study: Green, grey, and white spots. Green spots identify accidents that can be avoided by state-of-the-art ADAS ACC, AEB, and LKS. Grey spots contain scenarios that require minor system modifications, such as reducing the activation speed or increasing the steering torque. Scenarios in the white category cannot be addressed by state-of-the-art ADAS. Thus, which situations demand future systems are shown. The proportions of green, grey, and white spots are determined related to the considered data set and projected to the entire GIDAS. Conclusions: This article describes a systematic approach for assessing the effectiveness of ADAS using GIDAS PCM data to be able to project results to Germany. The closed-loop simulation run in rateEFFECT covers ACC, AEB, and LKS as well as relevant sensors for environment recognition and actuators for longitudinal and lateral vehicle control. Identification of green spots evaluates safety benefits of state-of-the-art level 0–2 functions as a baseline for further system improvements to address grey spots. Knowing which accidents could be avoided by standard ADAS helps focus the evolution of future driving functions on white spots and thus aim for Vision Zero.
12

Evaluation von Machine-Learning-Modellen und Konzeptionierung eines Modell-Ensembles für die Vorhersage von Unfalldaten

Siedel, Georg 19 February 2021 (has links)
In dieser Arbeit wird mittels verschiedener Methoden die Datenfusion von Unfallszenarien untersucht. Ausgangspunkt sind zwei Datensätze aus der Datenbank der polizeilichen Unfallstatistik. Im Empfängerdatensatz wird das spezifische Attribut „Unfalltyp“ entfernt, welches mithilfe des Spenderdatensatzes ergänzt werden soll. Ziel ist das Erstellen einer einheitlichen Datenbasis, deren Qualität mittels geeigneter ausgewählter Metriken bewertet wird. Als Methode der Datenfusion wird zum einen das Distance-Hot-Deck-Verfahren verwendet. Zum anderen werden vier aussichtsreiche Machine Learning Verfahren auf Basis einer systematischen Literaturrecherche ausgewählt und zur Vorhersage des spezifischen Attributes angewandt. Um die jeweiligen Vorteile bezüglich der Verteilung und Trefferrate des vorhergesagten Attributes ausnutzen zu können, werden Kombinationsvarianten (Ensembling) beider Methoden entwickelt. Es werden Erkenntnisse gewonnen, welche Verfahren die höchste Qualität des fusionierten Datensatzes erreichen.:1. Einleitung 2. Grundlagen der Datenfusion 3. Randbedingungen 4. Vorgehensweise 5. Ergebnisse 6. Diskussion und Ausblick
13

The Treatment Effectiveness Assessment (TEA): A Patient-Centered Tool for Evaluating Progress in an Outpatient Alcohol and Drug Treatment Program

Hall, Jennifer 08 May 2023 (has links)
No description available.
14

Разработка и вывод на рынок B2B нового продукта (на примере оборудования для птицефабрик) : магистерская диссертация / Develop and market B2B new product (example of poultry factory equipment)

Зубков, В. Г., Zubkov, V. G. January 2021 (has links)
В 1-й главе рассмотрены теоретические и методические основы разработки и вывода на промышленный рынок нового продукта. Во 2-й главе проведен анализ организации ООО «Фармпласт», анализ рынка нового оборудования, анализ патентного ландшафта, были выявлены ключевые проблемы и возможности при реализации изделия. В 3-й главе представлен инвестиционный проект по разработке и реализации нового оборудования, приведен расчет себестоимости изделия, рассчитаны затраты на реализацию и экономический эффект, определены возможные риски, даны рекомендации по снижению их эффекта. / Chapter 1 discusses the theoretical and methodological foundations of the development and introduction of a new product to the industrial market. In the 2nd chapter, the organization of Farmplast LLC was analyzed, the market analysis of new equipment, the analysis of the patent landscape were identified, key problems and opportunities for the sale of the product were identified. The 3rd chapter presents an investment project for the development and sale of new equipment, gives a calculation of the cost of the product, calculated costs for implementation and economic effect, identified possible risks, made recommendations to reduce their effect.

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