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Abstract Identity-Anonymized CAN (IA-CAN) protocol is a secure CAN protocol, which provides the sender authentication by inserting a secret sequence of anonymous IDs (A-IDs) shared among the communication nodes. To prevent malicious attacks from the IA-CAN protocol, a secure and robust system error recovery mechanism is required. This article presents a central management method of IA-CAN, named the IA-CAN with a global A-ID, where a gateway plays a central role in the session initiation and system error recovery. Each ECU self-diagnoses the system errors, and (if an error happens) it automatically resynchronizes its A-ID generation by acquiring the recovery information from the gateway. We prototype both a hardware version of an IA-CAN controller and a system for the IA-CAN with a global A-ID using the controller to verify our concept.

Abstract In the pursuit of advancing autonomous vehicles (AVs), data-driven algorithms have become pivotal in replacing human perception and decision-making. While deep neural networks (DNNs) hold promise for perception tasks, the potential for catastrophic consequences due to algorithmic flaws is concerning. A well-known incident in 2016, involving a Tesla autopilot misidentifying a white truck as a cloud, underscores the risks and security vulnerabilities. In this article, we present a novel threat model and risk assessment (TARA) analysis on AV data storage, delving into potential threats and damage scenarios. Specifically, we focus on DNN parameter manipulation attacks, evaluating their impact on three distinct algorithms for traffic sign classification and lane assist.

Abstract The innovations of vehicle connectivity have been increasing dramatically to enhance the safety and user experience of driving, while the rising numbers of interfaces to the external world also bring security threats to vehicles. Many security countermeasures have been proposed and discussed to protect the systems and services against attacks. To provide an overview of the current states in this research field, we conducted a systematic mapping study (SMS) on the topic area “security countermeasures of in-vehicle communication systems.” A total of 279 papers are identified based on the defined study identification strategy and criteria. We discussed four research questions (RQs) related to the security countermeasures, validation methods, publication patterns, and research trends and gaps based on the extracted and classified data. Finally, we evaluated the validity threats and the whole mapping process.

ARINC Report 679 defines the functional characteristics of an airborne server that will support Electronic Flight Bags (EFBs) and similar peripherals used in the flight deck, cabin, and maintenance applications. The document defines how EFBs will efficiently, effectively, safely, and securely connect to the airborne server in a way that offer expanded capabilities to aircraft operators. The airborne server has two main functions, first to provide specific services to connected systems, and second to provide centralized security for the EFB and its data. This document is a functional airborne server definition. It does not define the physical characteristics of the server.

AVSC Information Report for Change Risk Management AVSC00010202304 provides a process for change risk management for fleet-operated ADS-DVs using level 4 or 5 automation. The document addresses risks resulting from planned and unplanned changes in an ADS-DV design and/or operation. This information report is based on the concept of risk-informed decision-making. Making risk management decisions such as safety and change management, safety analysis, and safety assurance are especially applicable when moving from concept to production intent for the ADS-DV. Change Risk Management (CRM) does not replace best practices or other methods for managing safety anomalies or change management processes. It may instead be viewed as an additional resource that elaborates on how safety anomaly management and change management can be performed.

SAE EDGE Research Reports provide examinations significant topics facing mobility industry today including Connected Automated Vehicle Technologies Electrification Advanced Manufacturing

Certified Machine Learning-Based Avionics: Unlocking Safer Revolutionizing Electronic Warfare: Unleashing the Power of High-Performance Software Defined Radios Deterministic and Modular Architecture for Embedded Vehicle Systems Approximating the Material Stresses and System Requirements for Hypersonic Flight Design Approaches for Established and Emerging RF Receiver Architectures Rydberg Technologies Shows Potential of Long-Range RF with Quantum Sensor at NetModX23 New Method to Measure Wind Speed Could Unlock Drones' Potential A fundamentally different approach to wind estimation using unmanned aircraft than the vast majority of existing methods. This method uses no on-board flow sensor and does not attempt to estimate thrust or drag forces. Report on Human Factors Issues Likely to Affect Air-Launched Effects This report reviews human factors research on the supervision of multiple unmanned vehicles (UVs) as it affects human integration with Air-Launched Effects (ALE).

Argus, a global leader in automotive cybersecurity, has upgraded its stand-alone Fleet Protection backend platform and is now providing continuous live monitoring of both automotive and commercial aircraft fleets.

Abstract Over the past forty years, the Electronic Control Unit (ECU) technology has grown in both sophistication and volume in the automotive sector, and modern vehicles may comprise hundreds of ECUs. ECUs typically communicate via a bus-based network architecture to collectively support a broad range of safety-critical capabilities, such as obstacle avoidance, lane management, and adaptive cruise control. However, this technology evolution has also brought about risks: if ECU firmware is compromised, then vehicle safety may be compromised. Recent experiments and demonstrations have shown that ECU firmware is not only poorly protected but also that compromised firmware may pose safety risks to occupants and bystanders.

October 29-31, 2019 │ Novi, MI

October 29-31, 2019 │ Novi, MI

To better inform and equip mobility engineers dealing with these challenges, SAE International has released a new book series from Juan R. Pimentel that explores automated vehicle safety concepts and technologies.

Looking past ADAS Advances in perception hardware and software deliver new performance possibilities - and a refreshed vision for passenger-vehicle driving automation. Provizio eyes safety with radar, not lidar Provizio promises its 5D Perception stack can safely compete with expensive lidar sensors at a fraction of the cost. Can solid-state batteries commercialize by 2030? Solid-state batteries are facing a reckoning as OEMs attempt to commercialize the technology. Editorial Change?

High on hydrogen Through its Symbio joint venture with Michelin, Faurecia expands far beyond its interior-systems base into the fuel-cell future. Simulating a faster route to ADAS and AV validation With its new cloud-based Simphera platform, dSpace responds to demand from global automated-vehicle development teams to help manage their expanding, complex workload. Innovating the methanol fuel cell Using methanol as the source fuel provides an alternative to a gaseous-hydrogen distribution and storage infrastructure, among other potential benefits. Engineering the 2022 Toyota Tundra Chief Engineer Mike Sweers talks structure, materials and a different approach to hybrid power.

Editorial Follow the money The Navigator C-V2X is finally gaining momentum in the U.S. Making the Strategic Move Into AV Testing Having built its global engineering reputation in the combustion-engine era, FEV makes a critical leap into automated-vehicle testing. Sony Jumps Into AV Sensors, Software The consumer-electronics giant leverages its innovative technologies for ADAS prototypes and partners with Hungary-based AImotive for automated-driving software. Mitigating Radar-to-Radar Interference An effective radar interference mitigation strategy should have the right balance between complexity and capability for dealing with the interferers. Amending the Automated-driving 'Constitution' SAE International's J3016 standard has been comprehensively revised with new distinctions and definitions. The Committee chairperson, Barbara Wendling, addresses the fine points behind the industry-defining - and perpetually controversial - classification for automated-driving capability.

An Holistic Approach to Verifying Cybersecurity in Design A powerful new generation of test and sim solutions aims to address specific security concerns associated with automotive designs.

Editorial SPAC attack The Navigator Mapping the way to safe and natural automated driving Motorcycles Enter the ADAS Age The latest models from BMW, Ducati and KTM feature Bosch's new ACC setup, but further advancements will require navigating critical rider-control strategies. On the Way to SVA Aptiv says its Smart Vehicle Architecture central controller is the key to simpler, more compact and higher-performance ADAS and AV systems. New Insistence for Driver Assistance Panelists at SAE International's 2021 Government/Industry Meeting say assisted-driving technology is worthwhile - but effective driver monitoring is crucial. Flash! Lidar's Next Generation Arrives Technology solutions from new players and alliances are poised to drive down cost. Horiba MIRA's Vision for World-Class AV Testing A new autonomous vehicle development center called Assured CAV boasts a lengthy list of assets and capabilities.

Editorial Making Safety Standard The Navigator Sensor Monoculture is a Terrible Idea 3D-printed Radar Rises Toward Production Lunewave's unique Luneburg-lens technology aims to simplify vehicle radar arrays - and deliver better ADAS and AV performance. Accelerating Automotive Radar NXP's new, fifth-generation chipsets unleash 16-nm FinFet technology to the ADAS and AV markets. Autonomy's Computing Backbone Cloud-computing networks are speeding AV development and preparing to manage tomorrow's data-reliant AV fleets. Get in Line Evolving truck-platooning techniques are paving unique paths to high-level commercial vehicle autonomy. Ford in 'No-hands' Land BlueCruise hands-free driver-assist is available later this year for the Mustang Mach-E and F-150 pickup. ADAS-equipped Trucks Save Bucks Bosch research finds one specific driver-assistance feature may reduce costs associated with property damage by up to 35% for Class 7 and 8 trucks.

Editorial AV lidar enters a new reality The Navigator UNECE takes first step toward AV regulation Special Delivery - by 'Bot Michigan start-up Refraction AI aims to be the go-to for last-mile, semi-autonomous, all-weather delivery robots. Lidar Infiltrates ADAS Once considered a necessity only in fully autonomous vehicles, lidar sensors are now being evaluated for lower-level driver-assistance systems. Training Data-hungry AI Algorithms Large-scale data refinement is key to bringing more sophisticated automated-driving functions to series production. Simulation's Next Generation Do autonomous-vehicle developers have their simulation strategies all wrong? Some experts think so - but suggest there's a practical solution. Marelli's COVID-killing HVAC Insert With big implications for shared mobility, a new photocatalytic cabin-air purifier claims to kill viruses - including COVID-19. Is Ground-penetrating Radar Next for AV Sensing?