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SelfTrust – A practical approach for trust establishment

Aptiv Components India Pvt Ltd-Sreenath A
Aptiv Components India Pvt, Ltd.-Ranjit Vinayak Abhyankar
  • Technical Paper
  • 2020-01-0720
To be published on 2020-04-14 by SAE International in United States
In recent years, with increase in external connectivity (V2X, Telematics, mobile projection, BYOD) the automobile is becoming a target of cyberattacks and intrusions. Any such intrusion reduces customer trust in connected cars and negatively impacts brand image (like the recent Jeep Cherokee hack). To protect against intrusion, a number of mechanisms are available: which can vary from a simple scheme like secure CAN to specialized software like symbiote defense. Few systems (Like V2X) also plan to implement detection of an intrusion (defined as a misbehaving entity). However, most of the mechanisms require a system wide change, adds to the cost and negatively impacts the performance. In this paper, we are proposing a practical and scalable approach of intrusion detection. Use of existing security mechanisms like TrustZone® and watermarking, little or no impact on cost and performance are some of the benefits of our approach. In addition, our approach is scalable and does not require any system wide changes. To detect intrusions, we propose a combination of TrustZone® secure space approach along with a mechanism of…
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EDITORIAL: Hop on the hydrogen highway

SAE Truck & Off-Highway Engineering: December 2019

Editor-in-Chief-Ryan Gehm
  • Magazine Article
  • 19TOFHP12_06
Published 2019-12-01 by SAE International in United States

Two years ago at the inaugural North American Commercial Vehicle (NACV) Show in Atlanta, a recurring theme from nearly every truck manufacturer and supplier press conference was vehicle uptime, along with the various telematics and connectivity solutions that enable fleet managers to keep their trucks on the road. While these certainly were important topics at this year's NACV Show, the dominant takeaway from the Georgia World Congress Center was that alternative propulsion is top of mind for many industry players.

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Entry Level Connected Infotainment Unit with Smartphone and Vehicle Integration

Maruti Suzuki India, Ltd.-Soundharya N, Tarun Aggarwal, Ritesh Khandelwal, Satish Pandey, Satish Kumar Pandey, Himanshu Kumar Ojha
  • Technical Paper
  • 2019-28-2434
Published 2019-11-21 by SAE International in United States
As we transition towards Internet of Things (IoT) - humans are connected to each other & outside world through the smartphone.Customers tend to use smartphones for varied purposes ranging from communication to entertainment. However, the concern of distraction exists due to poor visibility & accessibility of the phone’s screen in driving condition.One of the repercussion of being connected to smartphone particularly in driving condition includes higher number of road accidents due to distraction. This paper explains one of the key initiatives taken by Maruti Suzuki India Limited to address the same. This is done by offering an entry level connected infotainment system which comprises of the following three components:(a) An entry-level infotainment with basic display & vehicle connectivity, (b) A Dock mounted on infotainment panel enabling safe usage of smartphone due to its position i.e. accessibly and visibility in driving condition, (c) A Driving App specifically designed for driving usage where one can access calling, messaging, navigation on the go with a vibrant UI & easy to use gestures.The infotainment unit is connected to vehicle’s…
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Usage of Telematics Data in Advance Powertrain Development

Honda Cars India Pvt Ltd.-Shubham Garg, Anurag Anurag, Mohit Singhal, Isao Chiba, Kouji Okayasu
  • Technical Paper
  • 2019-28-2438
Published 2019-11-21 by SAE International in United States
To achieve accuracy in model development with large-scale actual customer data in low cost and limited time usage of telematics system was adopted. Honda’s OBD II diagnostic connecting device Honda Connect was used as transceiver for this telematics system, which was used as an accessory in Honda vehicles. Data collected with this device with large sample size and regional diversity across India was used in product development for Honda System. Control system development for BSVI vehicles, Idle start stop hardware specification selection and Battery electric vehicle target range study was done with Honda Connect Data.
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Truck OEMs intensify focus on customer experience, telematics to keep fleets up and running

SAE Truck & Off-Highway Engineering: October 2019

Jennifer Shuttleworth
  • Magazine Article
  • 19TOFHP10_12
Published 2019-10-01 by SAE International in United States

With a customer-focused strategy and aftersales division in place, Navistar International's recently rolled-out Vision 2025 represents a fresh, collaborative effort to further enhance service operations across its entire network.

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Editorial

Autonomous Vehicle Engineering: September 2019

Editorial Director-Bill Visnic
  • Magazine Article
  • 19AVEP09_01
Published 2019-09-01 by SAE International in United States

Although editor-in-chief Lindsay Brooke's cover story detailing the foundations of Israel's surging tech sector helps to explain the nation's expanding expertise in all things cyber-secure, much of this issue deals with security and privacy of another kind-the access we grant almost daily to all manner of digital “providers” of goods and services.

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Comparison of GATS Messages to SAE ATIS Standards

V2X Core Technical Committee
  • Ground Vehicle Standard
  • J2539_201906
  • Current
Published 2019-06-11 by SAE International in United States
This SAE Information Report provides a comparative summary between the various messages found in the SAE ATIS standards work (notably SAE J2313, J2353, J2354, J2369 and J2374) and that found in the GATS standard (Global Automotive Telematics Standard). GATS is a message set meant to be deployed on mobile phone systems based on the GSM (Global System for Mobile Communication) phone system which is being deployed in European markets and which the SAE may need to harmonize with as part of the World Standards activities of TC204. This document provides an overview of the various types of supported messages and how they compare with US terms and messages. Some selected features of the GATS work are recommended for assimilation into the next revision of ATIS standards. No attempt at determining a U.S. policy in this regard is provided. This document seeks to provide the reader familiar with SAE ATIS with a high level overview of technical knowledge of the GATS approach in similar areas.
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Messages for Handling Strings and Look-up Tables in ATIS Standards

V2X Core Technical Committee
  • Ground Vehicle Standard
  • J2540_201906
  • Current
Published 2019-06-11 by SAE International in United States
This SAE Standard defines methods and messages to efficiently translate sequences of text and other types of data into and out of indexed values and look-up tables for effective transmission. This document defines: a Methods and Data Elements for handling indexes and strings in ATIS applications and message sets b Message Sets to support the delivery and translations of tables used in such strings c Tables of Nationally standardized strings for use in ATIS message descriptions And examples of each in illustrative portions. While developed for ATIS use, the methods defined in this document are useful for any textual strings in any Telematics applications found both in Intelligent Vehicles and elsewhere.
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A Comprehensive Data Reduction Algorithm for Automotive Multiplexing

SAE International Journal of Passenger Cars - Electronic and Electrical Systems

University of Ottawa, Canada-Aliakbar A. Baldiwala, Dan Necsulescu
  • Journal Article
  • 07-12-01-0002
Published 2019-04-08 by SAE International in United States
Present-day vehicles come with a variety of new features like the pre-crash warning, the vehicle-to-vehicle communication, semi-autonomous driving systems, telematics, drive by wire. They demand very high bandwidth from in-vehicle networks. Various ECUs present inside the automotive transmits useful information via automotive multiplexing. Transmission of data in real-time achieves optimum functionality. The high bandwidth and high-speed requirement can be achieved either by using multiple buses or by implementing higher bandwidth. But, by doing so, the cost of the network as well as the complexity of the wiring increases. Another option is to implement higher layer protocol which can reduce the amount of data transferred by using data reduction (DR) techniques, thus reducing the bandwidth usage. The implementation cost is minimal as the changes are required in the software only and not in hardware. This article presents a new data reduction algorithm termed as “Comprehensive Data Reduction (CDR)” algorithm. The article also demonstrates a comparison of the proposed algorithm with the boundary of fifteen compression algorithms and compression area selection algorithms. The results show that the…
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On-Board Predictive Maintenance with Machine Learning

Isuzu Technical Center of America Inc.-Yong Sun, Zhentao Xu, Tianyu Zhang
Published 2019-04-02 by SAE International in United States
Field Issue (Malfunction) incidents are costly for the manufacturer’s service department. Especially for commercial truck providers, downtime can be the biggest concern for our customers. To reduce warranty cost and improve customer confidence in our products, preventive maintenance provides the benefit of fixing the problem when it is small and reducing downtime of scheduled targeted service time. However, a normal telematics system has difficulty in capturing useful information even with pre-set triggers. Some malfunction issue takes weeks to find the root cause due to the difficulty of repeating the error in a different vehicle and engineers must analyze large amounts of data. In order to solve these challenges, a machine-learning-based predictive software/hardware system has been implemented. Multiple machine learning techniques, including CNN(Convolutional Neural Network), have been utilized in the proposed pipeline to: 1) decide when to record data. 2) decide what data to record. 3) root cause diagnostics on the spot based on time-series data analysis. A novel technique has been proposed to solve the lack of training data for the root cause analysis neural…
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