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Browse AllThis set of Abstract Syntax Notation (ASN.1) modules contains the precise definitions of data structures used in the SAE J3287 standard. Using the ASN.1 specification, a compiler tool can produce libraries that enable software applications to use the data structures and produce corresponding encodings using the Octet Encoding Rules (OER). For further information see the body of SAE J3287. You may also be interested in: V2X Misbehavior Reporting™ the J3287 PDF. V2X Misbehavior Reportingt™ SET File that includes the J3287 ASN File and the J3287 PDF (ZIP format) - download purchase only
This set of Abstract Syntax Notation (ASN.1) modules contains the precise definitions of data structures used in the SAE J3287 standard. Using the ASN.1 specification, a compiler tool can produce libraries that enable software applications to use the data structures and produce corresponding encodings using the Octet Encoding Rules (OER). For further information see the body of SAE J3287. You may also be interested in: V2X Misbehavior Reporting™ the J3287 PDF. V2X Misbehavior Reporting™ J3287 ASN File that includes the ASN file (ZIP format) - download purchase only
This procurement specification covers aircraft quality retaining rings of the spiral wound type with uniform rectangular cross-sections and made from a corrosion resistant austenitic iron base alloy of the type identified under the Unified Numbering System as UNS S30200, and of spring temper condition
This specification establishes the requirements for the following types of self-locking nuts in thread diameter sizes 0.1380 through 0.6250 inches: a Wrenching Nuts: i.e., hexagon, double hexagon and spline nuts. b Anchor Nuts: i.e., plate nuts, gang channel nuts, and shank nuts. The wrenching nuts, shank nuts, and nut elements of plate and gang channel nuts are made of a corrosion and heat resistant nickel-base alloy of the type identified under the Unified Numbering System as UNS N07001 and of 180,000 psi axial tensile strength at room temperature, with maximum conditioning of parts at 1400 °F prior to room temperature testing
This specification covers closely-wound helical coil, screw thread inserts made from an age hardenable nickel base alloy formed wire of the type identified under the Unified Numbering System as UNS N07750. The inner surface of the insert coil, after assembly into a screw thread tapped hole, provides internal threads of standard 60° Unified Form
This specification covers a premium aircraft-quality, low-alloy steel in the form of bars, forgings, mechanical tubing, and forging stock
This specification specifies the engineering requirements for heat treatment, by part fabricators (users) or subcontractors, of parts made of wrought or additively manufactured nickel or cobalt alloys, of raw materials during fabrication, and of fabricated assemblies in which wrought nickel or cobalt alloys are the primary structural components
This SAE Recommended Practice establishes a rating scale for subjective evaluation of vehicle ride and handling. The scale is applicable for the evaluation of specific vehicle ride and handling properties for specified maneuvers, road characteristics and driving conditions, and on proving ground and public roads. The validity of the evaluation is restricted to the individual ride and handling disciplines defined by these maneuvers and to the particular combination of conditions of the vehicle (e.g., equipment, degree of maintenance) and of the environment (e.g., road, weather). This rating scale may not be suitable for some applications, such as specific types of ride or handling qualities, driver populations and market segments, or for correlating with objective measures. Appendix A discusses rating scales that better suit such applications. This document is intended as a guide toward standard practice and is subject to change to keep pace with experience and technical advances
This procurement specification covers aircraft-quality solid rivets and tubular end rivets made from a corrosion-resistant steel of the type identified under the Unified Numbering System as UNS S34700
The electronic mechanical brake (EMB) system is a critical actuator for achieving brake-by-wire control. This review categorizes and summarizes the literature related to EMB into three sections: actuator, mathematical modeling, and control strategies. In the actuator aspect, this article compares and analyzes motors, motion conversion mechanisms, and self-reinforcing mechanisms. For mathematical modeling, this article reviews modeling methods for EMB systems concerning motors, transmission mechanisms, friction, contact collisions, nonlinear stiffness, and hysteresis characteristics. Regarding control strategies, this article consolidates methods for clamp force control, clamp force estimation, and gap management. Finally, the article discusses potential future research directions in EMB from both hardware structure and software algorithm perspectives
This specification covers a corrosion-resistant steel product in the solution and precipitation heat-treated (H950) condition, 12 inches (305 mm) and under in nominal diameter, thickness, or, for hexagons, least distance between parallel sides
This specification covers a corrosion-resistant steel product in the solution and precipitation heat-treated (H1100) condition, 12 inches (305 mm) and under in nominal diameter, thickness, or, for hexagons, least distance between parallel sides. The aged product may be supplied directly by a producer or by another entity performing the functions of a producer as defined in AS6279. The latter can be accomplished by precipitation heat treatment of solution treated material previously certified to AMS5934. The entity assuming responsibility for the aging operation is designated the producer of AMS5934/H1100
This specification covers a corrosion-resistant steel product in the solution and precipitation heat-treated (H1150) condition, 12 inches (305 mm) and under in nominal diameter, thickness, or, for hexagons, least distance between parallel sides
This specification covers a corrosion-resistant steel product in the solution and precipitation heat-treated (H1025) condition, 12 inches (305 mm) and under in nominal diameter, thickness, or, for hexagons, least distance between parallel sides
ML approaches to solving some of the key perception and decision challenges in automated vehicle functions are maturing at an incredible rate. However, the setbacks experienced during initial attempts at widespread deployment have highlighted the need for a careful consideration of safety during the development and deployment of these functions. To better control the risk associated with this storm of complex functionality, open operating environments, and cutting-edge technology, there is a need for industry consensus on best practices for achieving an acceptable level of safety. Navigating the Evolving Landscape of Safety Standards for Machine Learning-based Road Vehicle Functions provides an overview of standards relevant to the safety of ML-based vehicle functions and serves as guidance for technology providers—including those new to the automotive sector—on how to interpret the evolving standardization landscape. The report also contains practical guidance, along with an example
While weaponizing automated vehicles (AVs) seems unlikely, cybersecurity breaches may disrupt automated driving systems’ navigation, operation, and safety—especially with the proliferation of vehicle-to-everything (V2X) technologies. The design, maintenance, and management of digital infrastructure, including cloud computing, V2X, and communications, can make the difference in whether AVs can operate and gain consumer and regulator confidence more broadly. Effective cybersecurity standards, physical and digital security practices, and well-thought-out design can provide a layered approach to avoiding and mitigating cyber breaches for advanced driver assistance systems and AVs alike. Addressing cybersecurity may be key to unlocking benefits in safety, reduced emissions, operations, and navigation that rely on external communication with the vehicle. Automated Vehicles and Infrastructure Enablers: Cybersecurity focuses on considerations regarding cybersecurity and AVs from the
With the influx of artificial intelligence (AI) models aiding the development of autonomous driving (AD), it has become increasingly important to analyze and categorize aspects of their operation. In conjunction with the high predictive power innate to AI solutions, due to the safety requirements inherent to automotive systems and the demands for transparency imposed by legislature, there is a natural demand for explainable and predictable models. In this work, we explore the various strategies that reveal the inner workings of these models at various component levels, focusing on those adapted at the modeling stage. Specifically, we highlight and review the use of explainability in state-of-the-art AI-based scenario understanding and motion prediction methods, which represent an integral part of any AD system. We break the discussion down across three key axes that are inherent to any AI solution: the data, the model architecture, and the loss optimization. For each of the axes, we