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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.

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

Abstract Secure boot is a fundamental security primitive for establishing trust in computer systems. For real-time safety applications, the time taken to perform the boot measurement conflicts with the need for near instant availability. To speed up the boot measurement while establishing an acceptable degree of trust, we propose a dual-phase secure boot algorithm that balances the strong requirement for data tamper detection with the strong requirement for real-time availability. A probabilistic boot measurement is executed in the first phase to allow the system to be quickly booted. This is followed by a full boot measurement to verify the first-phase results and generate the new sampled space for the next boot cycle. The dual-phase approach allows the system to be operational within a fraction of the time needed for a full boot measurement while producing a high detection probability of data tampering.

Rethinking the HUD Advanced tech solutions move toward augmented reality to bring greater capability to head-up displays. Motor matters New designs and materials are key to the next generation of electric machines for EV propulsion. Harnessing the power of Sim Serious cost savings could come from eliminating vehicle- and systems-level tests. Powerful simulation tools may be the only way to tackle the increasing complexity in mobility development. An OBE for the SAE Meet Paul Mascarenas-SAE International's 2019 president. He's a staunch advocate for professional development for engineers amid the mobility industry's transformation. Solving the propulsion puzzle Must-attend expert panels at SAE's WCX '19 will cover the propulsion-tech future like no other. Editorial Kill the EV tax credit by 2025 SAE Standards News SAE and Synopsys collaborate on cyber study Supplier Eye New Co. vs. Old Co.

New vision @ Gentex Creating a vital ADAS partner through home-grown R&D and manufacturing in (of all places) western Michigan. Positioning for hybrid growth BorgWarner "modularizes" to provide OEMs optimal electrified-driveline flexibility. Editorial: Beleaguered diesel could use a break-or a breakthrough SAE Standards News Kickoff to begin testing program to validate SAE J2954 wireless charging Recommended Practice Supplier Eye Will you be an active participant or passive bystander? The Navigator For future vehicles, communication equals trust Tenneco readies new semi-active digital suspension for 2020 New 90-degree turbo V6 leads Audi's hybridization blitz GKN using modular control algorithms for added systems integration U of M students engineer new autonomous shuttle system Jaguar's 2018 E-Pace shares Land Rover bones Ford pumps powertrains for 2018 F-150 2018 Subaru Crosstrek moves to new global platform Nissan's Ponz Pandikithura on EV lifecycle value

Editorial It's more than just a magazine The Navigator Needed: a step beyond STEM SAE AV Activities A listing of SAE International's autonomous vehicle-related offerings across the organization. Autonomy for the Masses Ford Autonomous Vehicles LLC aims to do for AVs what the Model T did for just about everyone. CEO Sherif Marakby explains. Speeding Thermal Analysis for Autonomous EVs Solving thermal challenges is vital to AEV development. Siemens PLM's new Simcenter integrated simulation package offers a high-fidelity, easy-to-use solution. New Mobility's Mega-Mappers Most believe ultrahigh-definition mapping is crucial to make high-level automated driving possible. Developing these maps is a huge undertaking-one that's enjoying a massive investment of money and talent. From a Blip to a Boom Automotive radar rides the 77-GHz technology wave toward greater capability and vehicle safety.

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 Fool Self-Driving The Navigator The end of vehicle ownership Sanitary Solutions for AVs Gentex engineers are bridging mobility and medical technologies to tackle vital public-health issues of vehicle cabin cleanliness. 'Software, Start Your Engines' The 2021 Indy Autonomous Challenge is a high-speed laboratory for advancing automated driving. Getting to the 'Core' of AV Thermal Management Data-gobbling processors require new cooling solutions - and the AV industry needs standards, says a veteran engineer. Autonomy Takes Off-highway Integrating automation systems in mining, agricultural and construction machines can increase safety and productivity in the field and bring significant economic benefits. Boaring in on Vehicle-to-Animal Road Safety Researchers are using micro-Doppler radar, neural nets and machine learning to protect drivers from the wild critters that enter the road.

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?

OBD, J1939 and UDS on CAN / IP), and a glimpse into the near future covering remote, cloud-based diagnostics and cybersecurity threats.

Abstract Testing and verifying the security of connected and autonomous vehicles (CAVs) under cyber-physical attacks is a critical challenge for ensuring their safety and reliability. Proposed in this article is a novel testing framework based on a model of computation that generates scenarios and attacks in a closed-loop manner, while measuring the safety of the unit under testing (UUT), using a verification vector. The framework was applied for testing the performance of two cooperative adaptive cruise control (CACC) controllers under false data injection (FDI) attacks. Serving as the baseline controller is one of a traditional design, while the proposed controller uses a resilient design that combines a model and learning-based algorithm to detect and mitigate FDI attacks in real-time.

CAN bus network proved to be efficient and dynamic for small compact cars as well as heavy-duty vehicles (HDV). However, HDVs are more susceptible to malicious attacks due to lack of security in their intra-vehicle communication protocols. SAE proposed a new standard named J1939-91C for CAN-FD networks which provides methods for establishing trust and securing mutual messages with optional encryption. J1939-91C ensures message authenticity, integrity, and confidentiality by implementing complex cryptographic operations including hash functions and random key generation. In this paper, the three main phases of J1939-91C, i.e., Network Formation, Rekeying, and Message Exchange, are simulated and tested on Electronic Control Units (ECUs) supporting CAN-FD network. Numerous test vectors were generated and validated to support SAE J1939-91C. The mentioned vectors were produced by simulating different encryption and hashing algorithms with variable message and key lengths.

This SAE Information Report J2836 establishes the instructions for the documents required for the variety of potential functions for PEV communications, energy transfer options, interoperability and security. This includes the history, current status and future plans for migrating through these documents created in the Hybrid Communication and Interoperability Task Force, based on functional objective (e.g., (1) if I want to do V2G with an off-board inverter, what documents and items within them do I need, (2) What do we intend for V3 of SAE J2953, …).

The caveat to these additional capabilities is issues like cybersecurity, complexity, etc. This paper is an exploration into FuSa and CAVs and will present a systematic approach to understand challenges and propose potential framework, Intelligent Vehicle Monitoring for Safety and Security (IVMSS) to handle faults/malfunctions in CAVs, and specifically autonomous systems.

The Mobility Open Blockchain Initiative – a global nonprofit working to create standards in blockchain, distributed ledgers, and related technologies for consumers, smart cities, and mobility – has launched the industry's first vehicle identification (VID) standard incorporating blockchain technology into a digital vehicle identification system.

Focus on advanced safety systems and human-factor interventions The impact of REACH on the aviation sector Considered the most comprehensive chemical-regulation legislation to date, REACH presents serious ramifications for the aircraft industry. Lightweighting: What's Next? Experts weigh in on the challenges and future enablers in the battle to reduce vehicle mass. The best of COMVEC 2016 Autonomous vehicles and improved fuel efficiency via advanced powertrain solutions are pressing topics detailed in this select group of technical papers from the SAE Commercial Vehicle Engineering Congress. Optimizing waste heat recovery for long-haul trucks Autonomous solutions in agriculture Downsizing a HD diesel engine for off-highway applications Zero-emissions electric aircraft: Theory vs. reality

A greener future for two-wheelers New BS VI emissions standards for two-wheelers are an enviro-opportunity. Additive manufacturing How 3D printing will transform the A&D support chain. Autonomous plows ahead Agriculture, construction, mining-even marine-are advancing autonomous technology to improve the productivity and safety of vehicles on the job. Bridging the power gap with 48 volts New 48-V technologies are poised to arrive in volume to help meet CO2 regulations and satisfy the "vampire" power demands of new electrical subsystems and accessories. Advances in lightweight electronics protection Conformal coatings increase reliability of aerospace and military assemblies.

Here, we discuss the On-Board Diagnostic (OBD) regulations for next generation BEV/HEV, its vulnerabilities and cybersecurity threats that come with hacking. We propose three cybersecurity attack detection and defense methods: Cyber-Attack detection algorithm, Time-Based CAN Intrusion Detection Method and, Feistel Cipher Block Method. ...These control methods autonomously diagnose a cybersecurity problem in a vehicle’s onboard system using an OBD interface, such as OBD-II when a fault caused by a cyberattack is detected, All of this is achieved in an internal communication network structure.

Annual conference government policy, regulatory makers, automotive industry neutral forum discuss US government regulation, technology, customer acceptance future vehicle design. industry event safety, emission control, fuel efficiency, automated vehicles.