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Viewing 1 to 30 of 1098
2017-09-23
Technical Paper
2017-01-2007
Fang Li, Lifang Wang, Yan Wu
Abstract With the rapid development of vehicle intelligent and networking technology, the IT security of automotive systems becomes an important area of research. In addition to the basic vehicle control, intelligent advanced driver assistance systems, infotainment systems will all exchange data with in-vehicle network. Unfortunately, current communication network protocols, including Controller Area Network (CAN), FlexRay, MOST, and LIN have no security services, such as authentication or encryption, etc. Therefore, the vehicle are unprotected against malicious attacks. Since CAN bus is actually the most widely used field bus for in-vehicle communications in current automobiles, the security aspects of CAN bus is focused on. Based on the analysis of the current research status of CAN bus network security, this paper summarizes the CAN bus potential security vulnerabilities and the attack means.
2017-09-19
Technical Paper
2017-01-2111
Andrew Loveless, Christian Fidi, Stefan Wernitznigg
This paper proposes the Fault-Tolerant Voting Architecture using Time-Triggered Ethernet in high-integrity applications, which can robustly handle Byzantine faults. The problem of Byzantine agreement in real-life systems is fundamentally one of data distribution from a single source to multiple receivers. In voting systems designed to increase fault tolerance through the use of redundant processing elements, it is necessary to ensure that the data read from a single shared input device is bitwise identical across all redundant processors (i.e. have interactive consistency (IC)). Even more generally, the push for increasingly distributed control systems in spacecraft necessitates robust mechanisms for consensus among virtually all network connected components.
2017-09-19
Technical Paper
2017-01-2112
Mirko Jakovljevic
A specific set of architecture design patterns and computational models, used in integrated modular architectures for commercial domains can be deployed in other avionics, automotive and transportation domains. With the combination of different deterministic Ethernet protocol capabilities and selective application of best practices on non-blocking models of computation and communication, with strong resource sharing, isolation/partitioning and fault detection mechanisms, it is possible to design open Ethernet-based architectures which can host non-critical/soft-time and critical (hard RT, real-time) functions, and at the same time can support incremental modernization, reuse, and upgrades at significantly reduced system complexity and lifecycle costs.
2017-09-19
Technical Paper
2017-01-2103
Bernd Hirschler, Mirko Jakovljevic
Deterministic Ethernet networks utilizing novel traffic classes and Layer 2 enhancements described in ARINC664 and SAE AS6802 represent core technologies for the design of advanced integrated architectures. This paper discusses security capabilities features for L2/L3 Ethernet networking from the perspective of embedded platform implementation. After brief discussion of general issues and terms around Confidentiality, integrity, or authenticity in Ethernet networks, the subject will be expanded with explanations on security constraints in configuration protection, secure sockets/diodes and MACsec and IPsec mechanisms. As our focus is on integrated architectures and Ethernet network devices, we will discuss interwoven safety/security constraints on design of integrated architectures with distributed MILS and zonal security (domain-based architecture) approaches, and consider the latest hypervisor and SoC technologies.
2017-09-19
Technical Paper
2017-01-2108
Denis Buzdalov, Alexey Khoroshilov
Different modelling techniques intended to deal with complexity of modern IMA systems are widely used now. Models can be used to help developers to lay out relevant information structurally. They can also be used to perform different formal analyses on machine-readable models like schedulability analysis, network load checks, WCET for software parts, FTA and FMEA and etc. For some kinds of analyses, special models are created on different stages of development. We suppose that reuse of models for different aspects and development stages is generally a good thing. In some cases it allows to reduce costs on development process; also it allows to make preservation of consistency between models more automatic. We are aware that using the same model for different stages or aspects can cause additional cost in the model maintenance. In this paper we are trying to make a step to further (including practical) research on this topic.
2017-09-19
Technical Paper
2017-01-2065
Sebastian Bandycki, Michele Trancossi, Jose Pascoa
This paper presents a comparison between different hypotheses of propulsion of a spherical UAS. Different architectures have been analyzed assessing their specific aerodynamic, energetic, and flight mechanics features. The comparison has been performed assuming the robustness of flight control in different wind conditions, defining for each the specific operative ranges, mission profiles, and energy assessment. An effective energy assessment and comparison against a commercial UAS has been produced. Even if the paper considers a preliminary simplified configuration, it demonstrates clearly to be competitive against traditional quadcopters in a predefined reference mission.
2017-09-19
Technical Paper
2017-01-2101
Jon Barton Shields, Brian Peirce Barker
Abstract This paper discusses the merits, benefits and usage of autonomous key management (with implicit authentication) (AKM) solutions for securing Electronic Module to Electronic Module (i.e. ECUs, FCC, REUs, etc.) communication within air (and defense) vehicles and IoT applications; particularly for transmissions between externally exposed, edge Electronic Module sensors connected to Electronic Modules within the air (and defense) vehicle infrastructure. Specific benefits addressed include reductions of communication latency, implementation complexity, processing power and energy consumption. Implementation issues discussed include provisioning, key rotation, synchronization, re-synchronization, digital signatures and enabling high entropy.
2017-09-19
Technical Paper
2017-01-2126
Ashutosh Kumar Jha, Gaurav Sahay, Adishesha Sivaramasastry
In aerospace industry, the concept of Integrated Vehicle Health Management (IVHM) has gained momentum and is becoming need of the hour for entire value chain in the industry. Identifying and sensing right parameters at right time is the key for success of IVHM. It has opened up challenge to the sensor providers to make sensors smarter, self-contained to compute and communicate efficiently. The expected benefits of lesser time to maintenance, reduced operating cost and very busy airports are motivating aircraft manufacturers to come up with tools, techniques and technologies to enable advanced diagnostic and prognostic systems in aircrafts. These features not only enable detection of failures but also support prediction of tentative failures upfront based on historical data, trend analysis and estimating the future trends. At present, various groups are working on different systems and platforms for health monitoring of an aircraft e.g.
2017-09-19
Technical Paper
2017-01-2159
Federico Cappuzzo, Olivier Broca, Jeremy Leboi
To answer the ever-increasing complexity of aircraft, it becomes of foremost importance to better and earlier assess the interactions among their systems and sub-systems. The study presents the Virtual Integrated Aircraft (VIA) methodology, which allows achieving the integration of aircraft systems with virtual means, complementing and preceding physical integration, which is usually completed at the end of the validation and integration phase. LMS Imagine.Lab platform provides the means for applying this methodology. A simulation architecture, integrating models from different platforms, is built and simulations are run on High Performance Computers (HPC) to cover multiple scenarios and therefore validate the selected architecture and pre-design in the early system development phases. Equipment, systems and subsystems are essential for the performance, safety, reliability and comfort.
2017-08-25
Technical Paper
2017-01-1945
Dr. Raimund Varnhagen
eHorizon (for electronic horizon) integrates topographical and digital map data with sensor data, namely GPS receivers, for predictive control of vehicle systems. The eHorizon solution constantly sends small data packages via the vehicles data network (CAN bus). These packages contain information about the stretch of road ahead as well as topographic information. With this information, the engine control unit, the transmission control device or the driver assistance systems can optimize their respective functions. When eHorizon is used in commercial vehicles a significant reduction in fuel consumption has been proven with several commercial vehicles OEs. The eHorizon has numerous possible applications. Based upon eHorizon's digital map data, the stretch of road ahead and its topography can be integrated in the strategy of the engine management. It is possible to reduce fuel consumption in various driving situations.
2017-06-26
Solution Notes
SN-0001
Automating a manufacturing process often comes with substantial investment or sustained operational costs of complex subsystems. But, by reducing complexity and using technologically mature components, it is possible to develop viable scaled and robust automated solutions. For the past several years, aerospace manufacturers have endeavored to automate manufacturing processes as much as possible for both production efficiencies and competitive advantage. Automating processes like drilling, fastening, sealing, painting, and composite material production have reaped a wide range of benefits; from improving quality and productivity to lowering worker ergonomic risks. The results have improved supply chains from small component manufacturers all the way up to airframe assemblers. That said, automation can be very expensive, and difficult to introduce when a product is anywhere beyond the beginning of its life cycle.
2017-03-28
Technical Paper
2017-01-1695
Kuang-I Shu
Abstract Much like how mobile phones ceased to be only person-to-person communications devices and became technical platforms, in-vehicle electronic devices will too cease to be solely information devices and become technical platforms incorporating all-encompassing features, including but not limited to ADAS, navigation, communication, and entertainment. This fundamental shift however will require a transformation and redesign of the vehicle’s technical architecture. Today, a vehicle’s ADAS, communications, and entertainment features exist isolated in separate devices and systems and are purpose built, leading to duplicative functions, increased costs, and difficult control, management, maintenance, and upgrade of the system. This presentation will illustrate a central control system architecture built around an IoV Gateway, an open hardware platform that integrates ICT devices for future vehicles.
2017-03-28
Technical Paper
2017-01-1657
Jesse Edwards, Ameer Kashani
Abstract In the past few years, automotive electronic control units (ECUs) have been the focus of many studies regarding the ability to affect the deterministic operation of safety critical cyber-physical systems. Researchers have been able to successfully demonstrate flaws in security design that have considerable, dramatic impacts on the functional safety of a target vehicle. With the rapid increase in data connectivity within a modern automobile, the attack surface has been greatly broadened to allow adversaries remote access to vehicle control system software and networks. This has serious implications, as a vast number of vulnerability disclosures released by security researchers point directly to common programming bugs and software quality issues as the root cause of successful exploits which can compromise the vehicle as a whole. In this paper, we aim to bring to light the most prominent categories of bugs found during the software development life cycle of an automotive ECU.
2017-03-28
Technical Paper
2017-01-1660
Huaxin Li, Di Ma, Brahim Medjahed, Qianyi Wang, Yu Seung Kim, Pramita Mitra
Abstract Nowadays, the automotive industry is experiencing the advent of unprecedented applications with connected devices, such as identifying safe users for insurance companies or assessing vehicle health. To enable such applications, driving behavior data are collected from vehicles and provided to third parties (e.g., insurance firms, car sharing businesses, healthcare providers). In the new wave of IoT (Internet of Things), driving statistics and users’ data generated from wearable devices can be exploited to better assess driving behaviors and construct driver models. We propose a framework for securely collecting data from multiple sources (e.g., vehicles and brought-in devices) and integrating them in the cloud to enable next-generation services with guaranteed user privacy protection.
2017-03-28
Technical Paper
2017-01-1659
Mert D. Pesé, Karsten Schmidt, Harald Zweck
Abstract The automotive industry experiences a major change as vehicles are gradually becoming a part of the Internet. Security concepts based on the closed-world assumption cannot be deployed anymore due to a constantly changing adversary model. Automotive Ethernet as future in-vehicle network and a new E/E Architecture have different security requirements than Ethernet known from traditional IT and legacy systems. In order to achieve a high level of security, a new multi-layer approach in the vehicle which responds to special automotive requirements has to be introduced. One essential layer of this holistic security concept is to restrict non-authorized access by the deployment of embedded firewalls. This paper addresses the introduction of automotive firewalls into the next-generation domain architecture with a focus on partitioning of its features in hardware and software.
2017-03-28
Technical Paper
2017-01-0067
Wei Han, Xinyu Zhang, Jialun Yin, Yutong Li, Deyi Li
Abstract Safety of buses is crucial because of the large proportion of the public transportation sector they constitute. To improve bus safety levels, especially to avoid driver error, which is a key factor in traffic accidents, we designed and implemented an intelligent bus called iBus. A robust system architecture is crucial to iBus. Thus, in this paper, a novel self-driving system architecture with improved robustness, such as to failure of hardware (including sensors and controllers), is proposed. Unlike other self-driving vehicles that operate either in manual driving mode or in self-driving mode, iBus offers a dual-control mode. More specifically, an online hot standby mechanism is incorporated to enhance the reliability of the control system, and a software monitor is implemented to ensure that all software modules function appropriately. The results of real-world road tests conducted to validate the feasibility of the overall system confirm that iBus is reliable and robust.
2017-03-28
Technical Paper
2017-01-0070
Longxiang Guo, Sagar Manglani, Xuehao Li, Yunyi Jia
Abstract Autonomous driving technologies can provide better safety, comfort and efficiency for future transportation systems. Most research in this area has mainly been focused on developing sensing and control approaches to achieve various autonomous driving functions. Very little of this research, however, has studied how to efficiently handle sensing exceptions. A simple exception measured by any of the sensors may lead to failures in autonomous driving functions. The autonomous vehicles are then supposed to be sent back to manufacturers for repair, which takes both time and money. This paper introduces an efficient approach to make human drivers able to online teach autonomous vehicles to drive under sensing exceptions. A human-vehicle teaching-and-learning framework for autonomous driving is proposed and the human teaching and vehicle learning processes for handling sensing exceptions in autonomous vehicles are designed in detail.
2017-03-28
Technical Paper
2017-01-0069
Venkatesh Raman, Mayur Narsude, Damodharan Padmanaban
Abstract This manuscript compares window-based data imputation approaches for data coming from connected vehicles during actual driving scenarios and obtained using on-board data acquisition devices. Three distinct window-based approaches were used for cleansing and imputing the missing values in different CAN-bus (Controller Area Network) signals. Lengths of windows used for data imputation for the three approaches were: 1) entire time-course for each vehicle ID, 2) day, and 3) trip (defined as duration between vehicle's ignition statuses ON to OFF). An algorithm for identification of ignition ON and OFF events is also presented, since this signal was not explicitly captured during the data acquisition phase. As a case study, these imputation techniques were applied to the data from a driver behavior classification experiment.
2017-03-28
Technical Paper
2017-01-0056
Naveen Mohan, Martin Törngren, Sagar Behere
Abstract With the advent of ISO 26262 there is an increased emphasis on top-down design in the automotive industry. While the standard delivers a best practice framework and a reference safety lifecycle, it lacks detailed requirements for its various constituent phases. The lack of guidance becomes especially evident for the reuse of legacy components and subsystems, the most common scenario in the cost-sensitive automotive domain, leaving vehicle architects and safety engineers to rely on experience without methodological support for their decisions. This poses particular challenges in the industry which is currently undergoing many significant changes due to new features like connectivity, servitization, electrification and automation. In this paper we focus on automated driving where multiple subsystems, both new and legacy, need to coordinate to realize a safety-critical function.
2017-03-28
Technical Paper
2017-01-0114
Jorge De-J. Lozoya Santos, J. C. Tudon-Martinez
Abstract The project consists on the mechanical and electronic instrumentation of an existing vehicle (built at Universidad de Monterrey for the SAE Supermileage Competition) to be able to control its steering, braking and throttle systems “by wire”. Insight to the stages of turning the vehicle into an autonomous one is presented. This includes identification of the current mechanical properties, choosing adequate components and the use of a simulation to allow early work on the software involving cameras and motors to provide autonomy to the vehicle. Using software in the loop methodology mathematical models of the dynamics of the vehicle are run in Simulink and update the position and orientation of the 3D model of the vehicle in V-REP, a robot simulator.
2017-03-28
Technical Paper
2017-01-0071
Vahid Taimouri, Michel Cordonnier, Kyoung Min Lee, Bryan Goodman
Abstract While operating a vehicle in either autonomous or occupant piloted mode, an array of sensors can be used to guide the vehicle including stereo cameras. The state-of-the-art distance map estimation algorithms, e.g. stereo matching, usually detect corresponding features in stereo images, and estimate disparities to compute the distance map in a scene. However, depending on the image size, content and quality, the feature extraction process can become inaccurate, unstable and slow. In contrast, we employ deep convolutional neural networks, and propose two architectures to estimate distance maps from stereo images. The first architecture is a simple and generic network that identifies which features to extract, and how to combine them in a multi-resolution framework.
2017-03-28
Technical Paper
2017-01-0072
Yang Zheng, Navid Shokouhi, Amardeep Sathyanarayana, John Hansen
Abstract With the embedded sensors – typically Inertial Measurement Units (IMU) and GPS, the smartphone could be leveraged as a low-cost sensing platform for estimating vehicle dynamics. However, the orientation and relative movement of the smartphone inside the vehicle yields the main challenge for platform deployment. This study proposes a solution of converting the smartphone-referenced IMU readings into vehicle-referenced accelerations, which allows free-positioned smartphone for the in-vehicle dynamics sensing. The approach is consisted of (i) geometry coordinate transformation techniques, (ii) neural networks regression of IMU from GPS, and (iii) adaptive filtering processes. Experiment is conducted in three driving environments which cover high occurrence of vehicle dynamic movements in lateral, longitudinal, and vertical directions. The processing effectiveness at five typical positions (three fixed and two flexible) are examined.
2017-03-28
Technical Paper
2017-01-1654
Arun Ganesan, Jayanthi Rao, Kang Shin
Abstract Modern vehicles house many advanced components; sensors and Electronic Control Units (ECUs) — now numbering in the 100s. These components provide various advanced safety, comfort and infotainment features, but they also introduce additional attack vectors for malicious entities. Attackers can compromise one or more of these sensors and flood the vehicle’s internal network with fake sensor values. Falsified sensor values can confuse the driver, and even cause the vehicle to misbehave. Redundancy can be used to address compromised sensors, but adding redundant sensors will increase the cost per vehicle and is therefore less attractive. To balance the need for security and cost-efficiency, we exploit the natural redundancy found in vehicles. Natural redundancy occurs when the same physical phenomenon causes symptoms in multiple sensors. For instance, pressing the accelerator pedal will cause the engine to pump faster and increase the speed of the vehicle.
2017-03-28
Technical Paper
2017-01-1653
Jon Barton Shields, Jörg Huser, David Gell
Abstract This paper discusses the merits, benefits and usage of autonomous key management (with implicit authentication) (AKM) solutions for securing ECU-to-ECU communication within the connected vehicle and IoT applications; particularly for transmissions between externally exposed, edge ECU sensors connected to ECUs within the connected vehicle infrastructure. Specific benefits addressed include reductions of communication latency, implementation complexity, processing power and energy consumption. Implementation issues discussed include provisioning, key rotation, synchronization, re-synchronization, digital signatures and enabling high entropy.
2017-03-28
Technical Paper
2017-01-1651
Douglas Thornburg, John Schmotzer, MJ Throop
Abstract Onboard, embedded cellular modems are enabling a range of new connectivity features in vehicles and rich, real-time data set transmissions from a vehicle’s internal network up to a cloud database are of particular interest. However, there is far too much information in a vehicle’s electrical state for every vehicle to upload all of its data in real-time. We are thus concerned with which data is uploaded and how that data is processed, structured, stored, and reported. Existing onboard data processing algorithms (e.g. for DTC detection) are hardcoded into critical vehicle firmware, limited in scope and cannot be reconfigured on the fly. Since many use cases for vehicle data analytics are still unknown, we require a system which is capable of efficiently processing and reporting vehicle deep data in real-time, such that data reporting can be switched on/off during normal vehicle operation, and that processing/reporting can be reconfigured remotely.
2017-03-28
Technical Paper
2017-01-1209
Zhichao Luo, Xuezhe Wei
Abstract Nowadays, wireless power transfer (WPT) gradually prevails and many researchers have devoted themselves to it because it is a safe, convenient and reliable way for recharging electric vehicles comparing to the conventional plug-in contact-based methods. Square coils are commonly used in WPT systems. However, there is few theoretical analysis of self- and mutual inductance of square coils between two magnetic shielding materials. In this paper, in order to study the spatial magnetic field distribution, the analytical model of n-turn square planar spiral coils between two semi-infinite multilayer media is developed based on the Maxwell equations and the Dual Fourier transformation. And then, by means of surface integrals, the self- and mutual inductance can be carried out, with respect to the main parameters of the WPT systems such as the operating frequency, the geometry feature of the coupling coils and the properties of the multilayer media.
2017-03-28
Technical Paper
2017-01-1233
Mohamed A. Elshaer, Allan Gale, Chingchi Chen
Abstract Vehicle safety is of paramount importance when it comes to plugging the vehicle into the electric utility grid. The impact of high voltage ground fault has been neglected or, if not, addressed by guidelines extracted from general practices, written in international standards. The agile accretion in Electric Vehicle (EV) development deems an exhaustive study on safety risks pertaining to fault occurrence. While vehicle electrification offers a vital solution to oil scarcity, it is essential that the fast development of the number of electric vehicles on the road does not compromise safety. Meanwhile, the link between technology and demands of society must be governed by vehicle safety. In this paper, a comprehensive study on high voltage (HV) fault conditions occurring in an EV will be conducted. In the next decade, EVs are expected to be prevalent worldwide. Ground fault characteristics are significantly dependent on the earthing system.
2017-03-28
Journal Article
2017-01-1243
Yan Zhou, Lihua Chen, Shuitao Yang, Fan Xu, Mohammed Khorshed Alam
Abstract The IGBTs are dominantly used in traction inverters for automotive applications. Because the Si-based device technology is being pushed to its theoretical performance limit in such applications during recent years, the gate driver design is playing a more prominent role to further improve the traction inverter loss performance. The conventional gate driver design in traction inverter application needs to consider worst case scenarios which adversely limit the semiconductor devices' switching speed in its most frequent operation regions. Specifically, when selecting the gate resistors, the IGBT peak surge voltage induced by fast di/dt and stray inductance must be limited below the device rated voltage rating under any conditions. The worst cases considered include both highest dc bus voltage and maximum load current. However, the traction inverter operates mainly in low current regions and at bus voltage much lower than the worst case voltage.
2017-03-28
Technical Paper
2017-01-1247
Mohammed Khorshed Alam, Lihua Chen, Yan Zhou, Fan Xu, Shuitao Yang
Abstract Direct bypass to DC-DC boost converter in traction inverter increases converter's capability and efficiency significantly by providing a lower loss path for power flow between the battery and DC-link terminal. A bypass using diode is an excellent solution to achieve this capability at low cost and system complexity. Bypass diode operates in the linear operating region (DC Q-point) when the battery discharges through the bypass diode to drive the electric motors. Therefore, thermal stress on the DC-link capacitor is shared between the input and DC-link capacitors through the bypass diode. On the other hand, inverters introduce voltage oscillation in the DC-link terminal which results in unwanted energy oscillation through the bypass diode during battery charging. Both of these phenomena have been explained in details.
2017-03-28
Technical Paper
2017-01-1250
Tomokazu Ishikawa, Kouhei Ikebuchi, Kenji Nakamura, Osamu Ichinokura, Naoki Kurimoto, Yoshiaki Nishijima
Abstract An electromagnetic and motion-coupled analysis is made for a Switched Reluctance Motor (SRM) based on a Reluctance Network Analysis (RNA). A full-pitch-winding SRM is promising since it has a high torque density. Since the motor characteristics such as driving torque significantly depend on commutation pattern, an analysis coupled with motor motion and its drive circuit is requisite for the performance prediction. However, in the full-pitch-winding SRM, the relationship between the coil magnetomotive force and the core flux is complicated, and thus Finite Element Method (FEM) has been major method to predict the motor characteristics, which takes too much computational time for cycle calculations. An RNA treats the relationship of coil magnetomotive force and core flux as lumped parameter circuit, and thus enables fast computation with a macroscopic view of magnetic phenomena.
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