Sökning: "SAE"

Visar resultat 1 - 5 av 46 uppsatser innehållade ordet SAE.

1. 1. DRIVER ENGAGEMENT User experience of static & dynamic interaction and engagement in Non-Driving Related Activities in Automated Vehicles - An experimental study

   Kandidat-uppsats, Institutionen för tillämpad informationsteknologi

   Författare :Elin Johansson; Sara Börjesson; [2023-05-19]
   Nyckelord :Non-Driving Related Activities; Take-over Request; SAE Level 4; Engagement; Situational Awareness; Self Assessment Manikin; The Contextual Control Model; Take-Over Scenario;

   Sammanfattning : The rapid development of automation in vehicles is reshaping the role of the driver and consequently changing driver behavior. This study is based on the SAE level 4 of automation, i.e the autonomous vehicle (AV) can drive fully autonomously in a conditioned area. LÄS MER

3. 2. Evaluation and Optimization of LTE-V2X Mode 4 under Aperiodic Messages of Variable Size

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Md Mamunur Rashid; [2023]
   Nyckelord :LTE-V2X; aperiodic; variable size; CAM; Technology and Engineering;

   Sammanfattning : Vehicular networks connect vehicles for improved road safety and efficiency with the assistance of wireless information exchange. Vehicular networks are based on the frequent broadcast of awareness messages referred to as CAM (Cooperative Awareness Messages) or BSM (Basic Safety Message) in the ETSI and SAE standards, respectively. LÄS MER

4. 3. Trust in Motion: Navigating the Liability of Distrust in Autonomous Vehicle Digital Brand Communication

   Kandidat-uppsats, Lunds universitet/Institutionen för strategisk kommunikation

   Författare :Saga Blomström; Josef Waldfogel; [2023]
   Nyckelord :Automated vehicles; Autonomous; AV; Artificial intelligence; AI; SAE level 5; Digital Brand Communication; Liability of distrust; Startups; Source credibility model; Framing theory; Social Sciences;

   Sammanfattning : While previous research has primarily focused on the sources and causes shaping attitudes towards artificial intelligence and autonomous vehicles, this research attempts to shed light on the communication efforts employed by autonomous vehicle companies. Using qualitative content analysis of the website material from three distinct SAE level 5 autonomous vehicle organizations, the study aims to achieve two primary objectives: to investigate how digital brand communication in the autonomous vehicle industry addresses the liability of distrust, and to propose improvements for redesigning communication to reduce consumer distrust. LÄS MER

5. 4. An Ontology and Guidelines for Cybersecurity Risk Assessment in the Automotive Domain

   Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Karim Khalil; [2023]
   Nyckelord :ISO SAE 21434; Threat Analysis and Risk Assessment; Ontology; Cybersecurity Concept;

   Sammanfattning : This study aims to propose a knowledge base ontology for the ISO/SAE 21434 cybersecurity risk assessment activities in the automotive domain. The focus of the paper is to model how the standard views the tasks of Threat Analysis and Risk Assessment (TARA) and cybersecurity concept. LÄS MER

7. 5. Implementing SAE Techniques to Predict Global Spectacles Needs

   Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

   Författare :Yuxue Zhang; [2023]
   Nyckelord :small area estimation; area-level model; empirical best linear unbiased prediction EBLUP ; generalized linear mixed models; Conditional Autoregressive; spatial correlation; spectacle needs; assistive products; auxiliary data; hglm; relative standard error; simulation;

   Sammanfattning : This study delves into the application of Small Area Estimation (SAE) techniques to enhance the accuracy of predicting global needs for assistive spectacles. By leveraging the power of SAE, the research undertakes a comprehensive exploration, employing arange of predictive models including Linear Regression (LR), Empirical Best Linear Unbiased Prediction (EBLUP), hglm (from R package) with Conditional Autoregressive (CAR), and Generalized Linear Mixed Models (GLMM). LÄS MER