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Viewing 151 to 180 of 16642
2016-04-05
Journal Article
2016-01-1449
Taylor Johnson, Rong Chen, Rini Sherony, Hampton C. Gabler
Abstract Lane departure warning (LDW) systems can detect an impending road departure and deliver an alert to allow the driver to steer back to the lane. LDW has great potential to reduce the number of road departure crashes, but the effectiveness is highly dependent upon driver acceptance. If the driver perceives there is little danger after receiving an alert, the driver may become annoyed and deactivate the system. Most current LDW systems rely heavily upon distance to lane boundary (DTLB) in the decision to deliver an alert. There is early evidence that in normal driving DTLB may be only one of a host of other cues which drivers use in lane keeping and in their perception of lane departure risk. A more effective threshold for LDW could potentially be delivered if there was a better understanding of this normal lane keeping behavior. The objective of this paper is to investigate the lane keeping behavior of drivers in normal driving.
2016-04-05
Technical Paper
2016-01-1455
John Gaspar, Timothy Brown, Chris Schwarz, Susan Chrysler, Pujitha Gunaratne
Abstract In 2010, 32,855 fatalities and over 2.2 million injuries occurred in automobile crashes, not to mention the immense economic impact on our society. Two of the four most frequent types of crashes are rear-end and lane departure crashes. In 2011, rear-end crashes accounted for approximately 28% of all crashes while lane departure crashes accounted for approximately 9%. This paper documents a study on the NADS-1 driving simulator to support the development of driver behavior modeling. Good models of driver behavior will support the development of algorithms that can detect normal and abnormal behavior, as well as warning systems that can issue useful alerts to the driver. Several scenario events were designed to fill gaps in previous crash research. For example, previous studies at NADS focused on crash events in which the driver was severely distracted immediately before the event. The events in this study included a sample of undistracted drivers.
2016-04-05
Journal Article
2016-01-0340
Tina Hull, Monika A. Minarcin
Abstract Applications using industrial robotics have typically led to establishing a safeguarded space encompassing a wide radius around the robot. Operator access to this hazard zone was restricted by a combination of means, such as hard guarding, safeguarding, awareness means, and personal protective equipment. The introduction of collaborative robots is redefining safeguarding requirements. Many collaborative robots have inherently safe designs that enable an operator and a robot to work within a shared, collaborative workspace. New technology in industrial robotics has opened up opportunities for collaborative operation. Collaborative operation could include either industrial or collaborative robots, depending on its application. The current defined modes of collaborative operation are hand guiding; speed and separation monitoring; safety-rated monitored stop; and, power and force limiting.
2016-04-05
Technical Paper
2016-01-0162
Takashi Kodachi, Masaharu Shimizu, Hideaki Yamato, Kengo Toda, Takayuki Furuta, Hirotoshi Ochiai, Mitsuhiro Ando
Abstract Our society is faced with the serious problems such as aging population growth, environmental pollution and limited energy resource issues. As a means to address these issues, we are developing new mobility vehicles designed to support short-distance trips in urban settings. These mobility vehicles are intended for use in pedestrian areas inside buildings as well as outside, including public roads. In order to ensure safe and convenient operation for both pedestrians and mobility users, we conducted a risk assessment of mobility vehicles in pedestrian areas, and then developed a feature to autonomously limit the speed according to their surrounding conditions. This report discusses the utility of these mobility vehicles with the safety functions based on the fully conducted risk assessment, collision test and performance evaluation in public roads.
2016-04-05
Technical Paper
2016-01-0150
Felix Pistorius, Andreas Lauber, Johannes Pfau, Alexander Klimm, Juergen Becker
Abstract Various algorithms such as emergency brake or crash warning using V2X communication have been published recently. For such systems hard real-time constraints have to be satisfied. Therefore latency needs to be minimized to keep the message processing delay below a certain threshold. Existing V2X systems based on the IEEE 1609 and SAE J2735 standards implement most message processing in software. This means the latency of these systems strongly depends on the CPU load as well as the number of incoming messages per time. According to safety constraints all messages of nearby vehicles have to be processed, whereby no prediction of the message importance can be given without analyzing the message content. Regarding the aforementioned requirements we propose a novel architecture that optimizes latency to satisfy the hard real-time constraints for V2X messages.
2016-04-05
Technical Paper
2016-01-0170
Vidya Nariyambut Murali, Ashley Micks, Madeline J. Goh, Dongran Liu
Abstract Camera data generated in a 3D virtual environment has been used to train object detection and identification algorithms. 40 common US road traffic signs were used as the objects of interest during the investigation of these methods. Traffic signs were placed randomly alongside the road in front of a camera in a virtual driving environment, after the camera itself was randomly placed along the road at an appropriate height for a camera located on a vehicle’s rear view mirror. In order to best represent the real world, effects such as shadows, occlusions, washout/fade, skew, rotations, reflections, fog, rain, snow and varied illumination were randomly included in the generated data. Images were generated at a rate of approximately one thousand per minute, and the image data was automatically annotated with the true location of each sign within each image, to facilitate supervised learning as well as testing of the trained algorithms.
2016-04-05
Technical Paper
2016-01-0063
Karsten Schmidt, Harald Zweck, Udo Dannebaum
Abstract/Short Version Introduction The introduction of Ethernet and Gigabit Ethernet [2] as the main invehicle network infrastructure is the technical foundation for different new functionalities such as piloted driving, minimizing the CO2- footprint and others. The high data rate of such systems influences also the used microcontrollers due the fact that a big amount of data has to be transferred, encrypted, etc.Figure 1 Motivation - Vehicles will become connected to uncontrolled networks The usage of Ethernet as the in-vehicle-network enables the possibility that future road vehicles are going to be connected with other vehicles and information systems to improve system functionality. These previously closed automotive systems will be opened up for external access (see Figure 1). This can be Car2X connectivity or connection to personal devices.
2016-04-05
Technical Paper
2016-01-0113
William Buller, Rini Sherony, Brian Wilson, Michelle Wienert
Abstract Based on RADAR and LiDAR measurements of deer with RADAR and LiDAR in the Spring and Fall of 2014 [1], we report the best fit statistical models. The statistical models are each based on time-constrained measurement windows, termed test-points. Details of the collection method were presented at the SAE World Congress in 2015. Evaluation of the fitness of various statistical models to the measured data show that the LiDAR intensity of reflections from deer are best estimated by the extreme value distribution, while the RCS is best estimated by the log-normal distribution. The value of the normalized intensity of the LiDAR ranges from 0.3 to 1.0, with an expected value near 0.7. The radar cross-section (RCS) varies from -40 to +10 dBsm, with an expected value near -14 dBsm.
2016-04-05
Technical Paper
2016-01-0066
Joe Hupcey, Bryan Ramirez
Abstract The number one priority in vehicle security is to harden the root-of-trust; from which everything else - the hardware, firmware, OS, and application layer’s security - is derived. If the root-of-trust can be compromised, then the whole system is vulnerable. In the near future the root-of-trust will effectively be an encryption key - a digital signature for each vehicle - that will be stored in a secure memory element inside all vehicles. In this paper we will show how a mathematical, formal analysis technique can be applied to ensure that this secure storage cannot (A) be read by an unauthorized party or accidentally “leak” to the outputs or (B) be altered, overwritten, or erased by unauthorized entities. We will include a real-world case study from a consumer electronics maker that has successfully used this technology to secure their products from attacks 24/7/365.
2016-04-05
Technical Paper
2016-01-1522
Zhenwen Wang, Brock Watson
Abstract A three dimensional IR-TRACC (Infrared Telescope Rod for Assessment of Chest Compression) was designed for the Test Device for Human Occupant Restraint (THOR) in recent years to measure chest deflections. Due to the design intricateness, the deflection calculation from the measurements is sophisticated. An algorithm was developed in this paper to calculate the three dimensional deflections of the chest. The algorithm calculates the compression and also converts the results to the local spine coordinate system so that it can correlate with the Post Mortem Human Subject (PMHS) measurements for injury calculation. The method was also verified by a finite element calculation for accuracy, comparing the calculation from the corresponding model output and the direct point to point measurements. In addition, the IR-TRACC calibration methods are discussed in this paper.
2016-04-05
Technical Paper
2016-01-1424
Yi G. Glaser, Robert E. Llaneras, Daniel S. Glaser, Charles A. Green
Abstract Partially automated driving involves the relinquishment of longitudinal and/or latitudinal control to the vehicle. Partially automated systems, however, are fallible and require driver oversight to avoid all road hazards. Researchers have expressed concern that automation promotes extended eyes-off-road (EOR) behavior that may lead to a loss of situational awareness (SA), degrading a driver’s ability to detect hazards and make necessary overrides. A potential countermeasure to visual inattention is the orientation of the driver’s glances towards potential hazards via cuing. This method is based on the assumption that drivers are able to rapidly identify hazards once their attention is drawn to the area of interest regardless of preceding EOR duration. This work examined this assumption in a simulated automated driving context by projecting hazardous and nonhazardous road scenes to a participant while sitting in a stationary vehicle.
2016-04-05
Technical Paper
2016-01-1465
John Zolock, Carmine Senatore, Ryan Yee, Robert Larson, Brian Curry
Abstract As a result of the development of Event Data Recorders (EDR) and the recent FMVSS regulation 49 CFR 563, today’s automobiles provide a limited subset of electronic data measurements of a vehicle’s state before and during a crash. Prior to this data, the only information available about the vehicle movements before or during a collision had come from physical evidence (e.g. tire marks), witnesses, aftermarket camera systems on vehicles, and ground-based cameras that were monitoring vehicle traffic or used for security surveillance. Today’s vehicles equipped with Advanced Driver Assistance Systems (ADAS) have vehicle-based sensors that measure information about the environment around a vehicle including other vehicles, pedestrians, and fixed wayside objects.
2016-04-05
Technical Paper
2016-01-1513
Bronislaw D. Gepner, Jack Cochran, Patrick Foltz, Carolyn Roberts, Jacek Toczyski, Qi Zhang, Matthew Taracko, Jacob Borth, Robert Wilson, Adam Upah, Jason Kerrigan
Abstract Recreational Off-Highway Vehicles (ROVs), since their introduction onto the market in the late-1990s, have been related to over 300 fatalities with the majority occurring in vehicle rollover. In recent years several organizations made attempts to improve ROV safety. This paper is intended to evaluate ejection mitigation measures considered by the ROV manufacturers. Evaluated countermeasures include two types of occupant restraints (three and four point) and two structural barriers (torso bar, door with net). The Rollover protection structure (ROPS) provided by the manufacturer was attached to a Dynamic Rollover Test System (DRoTS), and a full factorial series of roll/drop/catch tests was performed. The ROV buck was equipped with two Hybrid III dummies, a 5th percentile female and a 95th percentile male. Additionally, occupant and vehicle kinematics were recorded using optoelectronic stereophotogrammetric camera system.
2016-04-05
Technical Paper
2016-01-1485
Noritoshi Atsumi, Yuko Nakahira, Masami Iwamoto, Satoko Hirabayashi, Eiichi Tanaka
Abstract A reduction in brain disorders owing to traumatic brain injury (TBI) caused by head impacts in traffic accidents is needed. However, the details of the injury mechanism still remain unclear. In past analyses, brain parenchyma of a head finite element (FE) model has generally been modeled using simple isotropic viscoelastic materials. For further understanding of TBI mechanism, in this study we developed a new constitutive model that describes most of the mechanical properties in brain parenchyma such as anisotropy, strain rate dependency, and the characteristic features of the unloading process. Validation of the model was performed against several material test data from the literature with a simple one-element model. The model was also introduced into the human head FE model of THUMS v4.02 and validated against post-mortem human subject (PMHS) test data about brain displacements and intracranial pressures during head impacts.
2016-04-05
Technical Paper
2016-01-1491
Eunjoo Hwang, Jason Hallman, Katelyn Klein, Jonathan Rupp, Matthew Reed, Jingwen Hu
Abstract Current finite element (FE) human body models (HBMs) generally only represent young and mid-size male occupants and do not account for body shape and composition variations among the population. Because it generally takes several years to build a whole-body HBM, a method to rapidly develop HBMs with a wide range of human attributes (size, age, obesity level, etc.) is critically needed. Therefore, the objective of this study was to evaluate the feasibility of using a mesh morphing method to rapidly generate skeleton and whole-body HBMs based on statistical geometry targets developed previously. THUMS V4.01 mid-size male model jointly developed by Toyota Motor Corporation and Toyota Central R&D Labs was used in this study as the baseline HBM to be morphed. Radial basis function (RBF) was used to morph the baseline model into the target geometries.
2016-04-05
Journal Article
2016-01-1486
Qi Zhang, Bronislaw Gepner, Jacek Toczyski, Jason Kerrigan
Abstract While over 30% of US occupant fatalities occur in rollover crashes, no dummy has been developed for such a condition. Currently, an efficient, cost-effective methodology is being implemented to develop a biofidelic rollover dummy. Instead of designing a rollover dummy from scratch, this methodology identifies a baseline dummy and modifies it to improve its response in a rollover crash. Using computational models of the baseline dummy, including both multibody (MB) and finite element (FE) models, the dummy’s structure is continually modified until its response is aligned (using BioRank/CORA metric) with biofidelity targets. A previous study (Part I) identified the THOR dummy as a suitable baseline dummy by comparing the kinematic responses of six existing dummies with PMHS response corridors through laboratory rollover testing.
2016-04-05
Technical Paper
2016-01-1516
Takahiro Suzaki, Noritaka Takagi, Kosho Kawahara, Tsuyoshi Yasuki
Abstract Approximately 20% of traffic fatalities in United States 2012 were caused by rollover accidents. Mostly injured parts were head, chest, backbone and arms. In order to clarify the injury mechanism of rollover accidents, kinematics of six kinds of Anthropomorphic Test Devices (ATD) and Post Mortem Human Subjects (PMHS) in the rolling compartment, whose body size is 50th percentile male (AM50), were researched by Zhang et al.(2014) using rollover buck testing system. It was clarified from the research that flexibility of the backbone and thoracic vertebra affected to occupant’s kinematics. On the other hand, the kinematics research of body size except AM50 will be needed in order to decrease traffic fatalities. There were few reports about the researches of occupant kinematics using FE models of body sizes except AM50.
2016-04-05
Technical Paper
2016-01-1506
David Poulard, Huipeng Chen, Matthew Panzer
Abstract 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.
2016-04-05
Technical Paper
2016-01-1493
Jeremy Daily, James Johnson, Amila Perera
Abstract Recovery of snapshot data recorded by Caterpillar engine control modules (ECMs) using Caterpillar Electronic Technician (CatET) software requires a complete snapshot record that contains information gathered both before and after an event. However, if an event is set and a crash ensues, or a crash creates an event, then it is possible for the ECM to lose power and not complete the recording. As such, the data may not be recoverable with CatET maintenance software. An examination of the J1708 network traffic reveals the snapshot data does exist and is recoverable. A motivational case study of a crash test between a Caterpillar powered school bus and a parked transit bus is presented to establish the hypothesis. Subsequently, a digital forensic recovery algorithm is detailed as it is implemented in the Synercon Technologies Forensic Link Adapter (FLA).
2016-04-05
Technical Paper
2016-01-1496
Richard R. Ruth, Brad Muir
Abstract Earlier research1 suggests there may be positive offset in the longitudinal G sensor in Toyota Corolla Gen 02 EDR’s. This research tests if a similar offset is present in Toyota Gen 04 EDR’s in the 2007 Yaris. A series of low speed forward and rearward collisions into a stationary vehicle were conducted. In addition to the installed vehicle ACM, additional identical “ride along” ACM’s were installed back to back, one front facing and one rear facing. The vehicle was also instrumented with a video VBOX to record speed at impact, and with the high precision “IST” accelerometer reference instrumentation. ACM’s facing toward the crash under-reported the negative longitudinal Delta V. After the initial impact was over, these forward facing ACM’s had a positive slope and at the end of the 200 ms recording were reporting a positive net Delta V, indicating a G sensor bias. The ACM’s facing away from the crash over reported the positive longitudinal Delta V.
2016-04-05
Technical Paper
2016-01-1475
Toby Terpstra, Tilo Voitel, Alireza Hashemian
Abstract Video and photo based photogrammetry software has many applications in the accident reconstruction community including documentation of vehicles and scene evidence. Photogrammetry software has developed in its ease of use, cost, and effectiveness in determining three dimensional data points from two dimensional photographs. Contemporary photogrammetry software packages offer an automated solution capable of generating dense point clouds with millions of 3D data points from multiple images. While alternative modern documentation methods exist, including LiDAR technologies such as 3D scanning, which provide the ability to collect millions of highly accurate points in just a few minutes, the appeal of automated photogrammetry software as a tool for collecting dimensional data is the minimal equipment, equipment costs and ease of use.
2016-04-05
Technical Paper
2016-01-1458
Ryuta Ono, Wataru Ike, Yuki Fukaya
Abstract Toyota Safety Sense is a safety system package developed to help drivers avoid accident types with a high frequency of occurrence. This paper deals with pre-collision system which forms the core of Toyota Safety Sense, especially Toyota Safety Sense P which uses a combined sensor configuration consisting of a monocular camera paired with millimeter wave radar, in order to achieve both high recognition performance and reliability. The use of a wide-angle monocular camera, millimeter wave radar integrated in the front grill emblem, and a collision determination algorithm for pedestrian targets enabled the development of a pre-collision system comprising detection capability of crossing pedestrians. Toyota has developed warning and pre-collision brake assist for driver to assist in avoiding a collision effectively; In addition, Pre-collision brake has achieved high level of performance for the drivers who cannot avoid a collision.
2016-04-05
Journal Article
2016-01-1568
L. Daniel Metz
Abstract Roadway tractive capabilities are an important factor in accident reconstruction. In the absence of full-scale experiments, tire/road coefficient of friction values are sometimes quoted from reference textbooks. For the various types of road construction, the values are given only in the form of a wide range. One common roadway type is oil-and-chip construction. We examine stopping distances for newly-rocked oil-and-chip roads vs. similarly constructed roads that have been traffic-polished. The examination was conducted through full-scale braking experiments with instrumented vehicles. Results show that the differences between newly-rocked oil-and-chip roads when compared to roads that are traffic-polished are on the same order as vehicle, tire and ABS algorithm differences, and that full-scale testing is required for accurate μ-values.
2016-04-05
Technical Paper
2016-01-0068
Yoshihiro Ujiie, Takeshi Kishikawa, Tomoyuki Haga, Hideki Matsushima, Tohru Wakabayashi, Masato Tanabe, Yoshihiko Kitamura, Jun Anzai
Abstract Controller area network (CAN) technology is widely adopted in vehicles, but attention has been drawn recently to its lack of security mechanisms. Numerous countermeasures have been proposed, but none can be regarded as a generic solution, in part because all the proposed countermeasures require extensive modifications to existing in-vehicle systems. To arrive at a solution to this problem, we propose a new method of protecting CAN without the need to modify existing systems. In this paper, we explain the principle of our proposed method and the architecture of the electronic control unit (ECU) that implements it. We report the result of our experiments and show its efficacy against typical security threats faced by CAN.
2016-04-05
Technical Paper
2016-01-1474
Edward C. Fatzinger, Tyler L. Shaw, Jon B. Landerville
Abstract Six electronic needle-display speedometers from five different manufacturers were tested in order to determine the behavior of the gauges following a power interruption and impact. Subject motorcycles were accelerated to pre-determined speeds, at which point the speedometer wiring harness was disconnected. The observed results were that the dial indicator would move slightly up, down, or remain in place depending on the model of the speedometer. The observed change of indicated speed was within +/- 10 mph upon power loss. Additionally, the speedometers were subjected to impact testing to further analyze needle movement due to collision forces. Speedometers were attached to a linear drop rail apparatus instrumented with an accelerometer. A minimum acceleration due to impact which could cause needle movement was measured for each speedometer assembly.
2016-04-05
Technical Paper
2016-01-1482
Paul Montalbano, Daniel Melcher, Rachel Keller, Thomas Rush, Jay Przybyla
Abstract A number of methods have been presented previously in the literature for determination of the impact speed of a motorcycle or scooter at its point of contact with another, typically larger and heavier, vehicle or object. However, all introduced methods to date have known limitations, especially as there are often significant challenges in gathering the needed data after a collision. Unlike passenger vehicles and commercial vehicles, most motorcycles and scooters carry no onboard electronic data recorders to provide insight into the impact phase of the collision. Recent research into automobile speedometers has shown that certain types of modern stepper motor based speedometers and tachometers can provide useful data for a collision reconstruction analysis if the instrument cluster loses electrical power during the impact, resulting in a “frozen” needle indication.
2016-04-05
Journal Article
2016-01-0081
Husein Dakroub, Adnan Shaout, Arafat Awajan
Abstract Connectivity has become an essential need for daily device users. With the car projected to be the “ultimate mobile device”, connectivity modules will eventually be mainstream in every car. Network providers are expanding their infrastructure and technology to accommodate the connected cars. Besides making voice and emergency calls the connected car will be sharing data with telematics service providers, back end systems and other vehicles. This trend will increase vehicle modules, complexity, entry points and vulnerabilities. This paper will present the current connected car architectures. The paper will present current architectural issues of the connected car and its vulnerabilities. The paper will present a new proposed architecture for the future connected car that enhances efficiency and security.
2016-04-05
Technical Paper
2016-01-0136
Deepak Gangadharan, Oleg Sokolsky, Insup Lee, BaekGyu Kim, Chung-Wei Lin, Shinichi Shiraishi
Abstract Optional software-based features (for example, to provide active safety, infotainment, etc.) are increasingly becoming a significant cost driver in automotive systems. In state-of-the-art production techniques, these optional features are built into the vehicle during assembly. This does not give the customer the flexibility to choose the specific set of features as per their requirement. They either have to buy a pre-bundled option that may or may not satisfy their preferences or are unable to find an exact combination of features from the inventory provided by a dealership. Alternatively, they have to pre-order a car from the manufacturer, which could result in a substantial delay. Therefore, it is important to improve the flexibility of delivering the optional features to customers. Towards this objective, the vehicle could be configured with the desired options at the dealership, when the customer requires them.
2016-04-05
Technical Paper
2016-01-0040
Ming Meng, Wilson Khoo
The modern vehicle development is highly dependent on software. The software development plays an extremely important role in vehicle safety and security. In order to ensure software high quality and safety standards, we have investigated the secure software development process and analyzed the works in this area. Based on our analysis, we have identified the similarities and differences between the secure software development process and the existing vehicle development process. We then made suggestions on how to adopt the secure software development process in the overall vehicle development process.
2016-04-05
Journal Article
2016-01-1488
Derek Jones, James Gaewsky, Ashley Weaver, Joel Stitzel
Abstract Computational finite element (FE) modeling of real world motor vehicle crashes (MVCs) is valuable for analyzing crash-induced injury patterns and mechanisms. Due to unavailability of detailed modern FE vehicle models, a simplified vehicle model (SVM) based on laser scans of fourteen modern vehicle interiors was used. A crash reconstruction algorithm was developed to semi-automatically tune the properties of the SVM to a particular vehicle make and model, and subsequently reconstruct a real world MVC using the tuned SVM. The required algorithm inputs are anthropomorphic test device position data, deceleration crash pulses from a specific New Car Assessment Program (NCAP) crash test, and vehicle interior property ranges. A series of automated geometric transformations and five LSDyna positioning simulations were performed to match the FE Hybrid III’s (HIII) position within the SVM to reported data. Once positioned, a baseline simulation using the crash test pulse was created.
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