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Improved update-over-the-air solution through standardization of ‘software/firmware package format and flash jobs’

Elektrobit India-Pavithra Kumaraswamy
  • Technical Paper
  • 2019-28-2435
To be published on 2019-11-21 by SAE International in United States
This paper investigates and proposes the possibilities of standardizing the software/firmware package format and flash jobs in order to provide the possibility of productizing the update-over-the-air solution regarding on-board vehicle components and make use of it in all OEMs with minimum configuration changes and customization. The update-over-the-air solution in the automotive sector is provided by various suppliers and needs to be customized to meet various OEMs requirements. Possible Variants of OEM requirements are: • Variant 1 o Customer Portal + Backend + vehicle on-board components solution from supplier • Variant 2 o Customer Portal + Backend solution from OEM o Vehicle on-board components from supplier • Variant 3 o Backend from OEM o Customer Portal + vehicle on-board components from supplier ODX, VBF, and many other formats from OEMs include software/firmware packages. With variant 1, these different formats are converted into one supplier proprietary format and is saved in backend and understood by the vehicle on-board components for re-programming of target ECUs. With variant 2 and variant 3, these different OEM formats have to be…
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General Motors Tech Center India-Suresh Dayakar, Vijayasarathy Subramanian, Keshava Reddy, Vijaykumar Shiramgond
  • Technical Paper
  • 2019-28-2520
To be published on 2019-11-21 by SAE International in United States
Shared mobility and Autonomous shared mobility take major share in Mobility 4.0. Personalization in a shared mobility will play a significant role in customer engagement in Autonomous world. In case of personal vehicle each customer will have their own personal settings in their own vehicle; in case of Autonomous shared mobility or shared mobility, we can satisfy individual customer need only by personalizing the vehicle for each individual user needs. This will give a cognitive feel of personal vehicle in a shared environment. We need technologies in improving vehicle interior and exterior systems and design to address personalization. We will be discussing on feasible opportunities of personalization and with illustrations in Vehicle Interior Cabin Space, Seat comfort, Compartments, Vehicle interior & Exterior Access / Controls. The summary will have design concept that will have personalization solutions satisfying each critical customer integration for all identified zones of vehicle exterior and interior. This approach of Design Thinking of identifying personalization need and enabling integrated design solution will help to improve customer satisfaction and engagement in Autonomous /…

Composable Storage Platform for High-Performance Computing

  • Magazine Article
  • TBMG-33907
Published 2019-03-01 by Tech Briefs Media Group in United States

Large-scale, high-performance computing — supercomputing — is essential to solving both complex and large questions. But storage platforms essential for these advanced computer systems have been stuck in a rigid framework that required users to either choose between customization of features or high availability.

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JLR uses predictive technology to reduce motion-sickness risk

Automotive Engineering: January 2019

Stuart Birch
  • Magazine Article
  • 19AUTP01_13
Published 2019-01-01 by SAE International in United States

Jaguar Land Rover (JLR) has revealed that a specialist “wellness research” team has created an algorithm to help reduce vehicle motion sickness by up to 60%. The algorithm generates a “wellness score” for each passenger. When it detects changes in the score it can automatically initialize personalization of both vehicle dynamics and cabin settings to reduce the effects of motion sickness.

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Characterizing Vehicle Occupant Body Dimensions and Postures Using a Statistical Body Shape Model

UMTRI-Byoung-Keon Daniel Park
University of Michigan-Matthew P. Reed
Published 2017-03-28 by SAE International in United States
Reliable, accurate data on vehicle occupant characteristics could be used to personalize the occupant experience, potentially improving both satisfaction and safety. Recent improvements in 3D camera technology and increased use of cameras in vehicles offer the capability to effectively capture data on vehicle occupant characteristics, including size, shape, posture, and position. In previous work, the body dimensions of standing individuals were reliably estimated by fitting a statistical body shape model (SBSM) to data from a consumer-grade depth camera (Microsoft Kinect). In the current study, the methodology was extended to consider seated vehicle occupants. The SBSM used in this work was developed using laser scan data gathered from 147 children with stature ranging from 100 to 160 cm and BMI from 12 to 27 kg/m2 in various sitting postures. A principal component (PC) analysis was conducted based on these scans along with the manually-measured body landmarks, and 100 PC scores were retained to account for 99% of variance in the body shape and sitting postures. A PC-based fast fitting method was applied to estimate the occupant…
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Development of Smart Shift and Drive Control System Based on the Personal Driving Style Adaptation

Hyundai Motor Company-Byeong Wook Jeon, Donghoon Jeong, Joseph Young-il Chang
Univ of Michigan-Dearborn-Sang-Hwan Kim
Published 2016-04-05 by SAE International in United States
In general, driving performance is developed to meet preference of average customers. But there is no single standardized guideline which can satisfy various driving tastes of all drivers whose gender, cultural background, and age are different. To resolve this issue, automotive companies have introduced drive mode buttons which drivers can manually select from Normal, Eco, and Sport driving modes. Although this multi-mode manual systems is more efficient than single-mode system, it is in a transient state where drivers need to go through troubles of frequently selecting their preferred drive mode in volatile driving situations It is also doubtful whether the three-categorized driving mode can meet complex needs of drivers.. In order to settle these matters, it is necessary to analyze individual driving style automatically and to provide customized driving performance service in real time. In this paper, we adopted fuzzy algorithm to evaluate user’s short- and long-term driving tendency by analyzing various vehicle signals. We also came with a result of developing a smart shift and drive control system capable of changing power train and…
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Conceptual Development and Implementation of a Reconfigurable Interior Concept for an Urban Utility/Activity Vehicle

Art Center College of Design-ChunKai Liu
CU-ICAR-Manjil Kale, Rajat Diwan, Fnu Renganathan Dinesh, Mark Benton, Prasanth Muralidharan, Paul Venhovens, Johnell Brooks
Published 2016-04-05 by SAE International in United States
The Deep Orange framework is an integral part of the graduate automotive engineering education at Clemson University International Center for Automotive Research (CU-ICAR). The initiative was developed to immerse students into the world of an OEM. For the 6th generation of Deep Orange, the goal was to develop an urban utility/activity vehicle for the year 2020.The objective of this paper is to explain the interior concept that offers a flexible interior utility/activity space for Generation Z (Gen Z) users. AutoPacific data were first examined to define personas on the basis of their demographics and psychographics. The resulting market research, benchmarking, and brand essence studies were then converted to consumer needs and wants, to establish technical specifications, which formed the foundation of the Unique Selling Points (USPs) of the concept. Then the various sub-systems within the vehicle were developed; a systems integration approach was used to balance design, engineering and project (cost, weight and timing) compromises.The vehicle provides a flexible interior concept designed to support the active lifestyles of Gen Z that enables a broad range…
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Geometrical Personalization of Pedestrian Finite Element Models Using Morphing Increases the Biofidelity of Their Impact Kinematics

University of Virginia-David Poulard, Huipeng Chen, Matthew Panzer
Published 2016-04-05 by SAE International in United States
Pedestrian finite element models (PFEM) are used to investigate and predict the injury outcomes from vehicle-pedestrian impact. As postmortem human surrogates (PMHS) differ in anthropometry across subjects, it is believed that the biofidelity of PFEM cannot be properly evaluated by comparing a generic anthropometry model against the specific PMHS test data. Global geometric personalization can scale the PFEM geometry to match the height and weight of a specific PMHS, while local geometric personalization via morphing can modify the PFEM geometry to match specific PMHS anatomy. The goal of the current study was to evaluate the benefit of morphed PFEM compared to globally-scaled and generic PFEM by comparing the kinematics against PMHS test results. The AM50 THUMS PFEM (v4.01) was used as a baseline for anthropometry, and personalized PFEM were created to the anthropometric specifications of two obese PMHS used in a previous pedestrian impact study using a mid-size sedan. Personalization was done using either global scaling or morphing, and the kinematics of each PFEM model were compared to the experiments using a correlation analysis (CORA).…
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TIME TO GET personal

Automotive Engineering: January 6, 2016

Terry Costlow
  • Magazine Feature Article
  • 16AUTD01_01
Published 2016-01-01 by SAE International in United States

Industry engineers are combining apps, voice, the cloud, and other technologies such as artificial intelligence to enable drivers to customize their vehicles and anticipate their needs.

The race to let drivers personalize vehicles is gaining speed. A range of techniques and technologies are being deployed to let drivers do more to make vehicles as individualized as their consumer environment.

Modularized SIR-to-NetCDF Conversion Command-Line Tool

  • Magazine Article
  • TBMG-23494
Published 2015-12-01 by Tech Briefs Media Group in United States

This innovation reads in a proprietary formatted binary data format known as Scatterometer Image Reconstruction (SIR), and converts these data files to netCDF-classic format. This software is provided as a command-line tool for Linux/UNIX-based systems, and includes built-in regression testing and command line options. The software is configured to output the netCDF files using a metadata conformance to Attribute Convention for Dataset Discovery (ACDD) and Climate and Forecasting (CF) version 1.6. This software is initially tested and designed for SIR files created for datasets originating from QuikSCAT and SeaWinds on ADEOS-II.