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TIoTA, an open software consortium of over 50 members organized to support the creation of a secure, scalable, interoperable, and trusted IoT ecosystem, began the E-Mobility Challenge to link IoT devices with consumers and stakeholder companies such as operators and service, communication, and payment providers within the preexisting European electric vehicle ecosystem.

Editorial AVs, data and 'surveillance capitalism' SAE AV Activities SAE launches Office of Automation The Navigator Lessons from the 737 Max-8 debacle Scorecard Waymo, GM and Ford pegged as autonomous leaders Designs to Dye for: Autonomy's New-Materials Revolution From pineapples to bacteria, Envisage's research is focused on new-mobility's 'inside' story. Dining on Data Processing, in real-time, the enormous data stream that's flowing through AVs is increasingly the job of NVIDIA's mighty GPUs. Danny Shapiro relishes the feast. New Performance Metrics for Lidar Frame-rate measurement is so yesterday.

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.

The China Automotive Technology and Research Center Co., Ltd. (CATARC), TÜV SÜD Group, and Shanghai SH Intelligent Automotive and International Transportation Innovation Center (ITIC) have joined with SAE International to establish the International Alliance for Mobility Testing and Standardization (IAMTS).

Connections dig deeper More aspects of vehicle operation are being improved by leveraging cellular links. 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. Advancing aftertreatment Engineers push for more efficient, cost-effective, and smaller aftertreatment systems for off-highway diesel engines, addressing challenges such as better particulate filtering and low-temp NOx conversion. Developing for defense Suppliers to the commercial vehicle segment optimize-read: ruggedize-their product offerings for the tougher terrain encountered by military vehicles. Going digital & electric @ bauma 2019 Digitalization and electrification are dominant themes in the equipment and technology being revealed at this year's largest trade show for construction and mining. Editorial Bigger barrier to CBEVs: Batteries or infrastructure?

Autonomous vehicles might one day be able to implement privacy preserving driving patterns which humans may find too difficult to implement. In order to measure the difference between location privacy achieved by humans versus location privacy achieved by autonomous vehicles, this paper measures privacy as trajectory anonymity, as opposed to single location privacy or continuous privacy. This paper evaluates how trajectory privacy for randomized driving patterns could be twice as effective for autonomous vehicles using diverted paths compared to Google Map API generated shortest paths. The result shows vehicles mobility patterns could impact trajectory and location privacy. Moreover, the results show that the proposed metric outperforms both K-anonymity and KDT-anonymity.

Unmanned ground vehicles (UGVs) may encounter difficulties accommodating environmental uncertainties and system degradations during harsh conditions. However, human experience and onboard intelligence can may help mitigate such cases. Unfortunately, human operators have cognition limits when directly supervising multiple UGVs. Ideally, an automated decision aid can be designed that empowers the human operator to supervise the UGVs. In this paper, we consider a connected UGV platoon under cyber attacks that may disrupt safety and degrade performance. An observer-based resilient control strategy is designed to mitigate the effects of vehicle-to-vehicle (V2V) cyber attacks. In addition, each UGV generates both internal and external evaluations based on the platoons performance metrics. A cloud-based trust-based information management system collects these evaluations to detect abnormal UGV platoon behaviors.

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.

In the past, research on blockchain technology has addressed security and privacy concerns within intelligent transportation systems for critical V2I and V2V communications that form the backbone of Internet of Vehicles. Within trucking industry, a recent trend has been observed towards the use of blockchain technology for operations. Industry stakeholders are particularly looking forward to refining status quo contract management and vehicle maintenance processes through blockchains. However, the use of blockchain technology for enhancing vehicle performance in fleets, especially while considering the fact that modern-day intelligent vehicles are prone to cyber security threats, is an area that has attracted less attention. In this paper, we demonstrate a case study that makes use of blockchains to securely optimize the fuel economy of fleets that do package pickup and delivery (P&D) in urban areas.

Due to the rapid development in the technological aspect of the autonomous vehicle (AV), there is a compelling need for research in the field vehicle efficiency and emission reduction without affecting the performance, safety and reliability of the vehicle. Electric vehicle (EV) with rechargeable battery has been proved to be a practical solution for the above problem. In order to utilize the maximum capacity of the battery, a proper power management and control mechanism need to be developed such that it does not affect the performance, reliability and safety of vehicle. Different optimization techniques along with deterministic dynamic programming (DDP) approach are used for the power distribution and management control. The battery-operated electric vehicle can be recharged either by plug-in a wired connection or by the inductive mean (i.e. wirelessly) with the help of the electromagnetic field energy.

In the “What’s Next for Aerospace and Defense: A Vision for 2050” study, AIA, New York City-based McKinsey & Company, and other industry partners reveal a comprehensive 30-year, Industry 4.0 forecast of air travel and spaceflight based on improvements in automation and digitization, next-generation materials, alternative energy sources and storage, and increased data throughput.

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.

Milwaukee-based Astronautics Corporation of America will update the U.S. Customs and Border Protection agency’s Air and Marine Operations fleet of Lockheed Martin P-3 Orion turboprop maritime surveillance aircraft with new primary flight and navigation displays.

Newer, more capable fifth-generation aircraft platforms and systems are outgrowing even the largest U.S. Air Force training ranges – and the service believes modern simulators and virtual reality may be the answer.

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

As mobility software becomes increasingly complex and connected, so does the risk of human error and system safety. To combat this, New York-based software company AdaCore will work with Nvidia Corporation of Santa Clara, California to apply open-source Ada and SPARK programming languages for select software security firmware elements in highly-complex, safety-critical systems like Nvidia’s DRIVE AGX automated and autonomous vehicle solutions.

Over-the-air affair Remote updating of software and firmware on commercial trucks and off-highway machines is on the rise, not only for maintenance functions but also to add new features like operator-assist technology. Developments in engine-based gensets With demand for generator sets steady and regulatory change settling, suppliers can rationalize their offerings and push improvements in areas like noise abatement and economy. Testing, testing and even more testing The commercial-vehicle market is eager to adopt more ADAS and automated-driving innovations, but before those technologies get to the road they must first pass rigorous testing practices that prove their efficacy. Smart and connected powertrains FPT Tech Day reveals multi-power Cursor X concept, other "4.0 innovations" for hydrogen fuel cell, electric and natural gas propulsion.

Abstract In the automotive domain, the overall complexity of technical components has increased enormously. Formerly isolated, purely mechanical cars are now a multitude of cyber-physical systems that are continuously interacting with other IT systems, for example, with the smartphone of their driver or the backend servers of the car manufacturer. This has huge security implications as demonstrated by several recent research papers that document attacks endangering the safety of the car. However, there is, to the best of our knowledge, no holistic overview or structured description of the complex automotive domain. Without such a big picture, distinct security research remains isolated and is lacking interconnections between the different subsystems. Hence, it is difficult to draw conclusions about the overall security of a car or to identify aspects that have not been sufficiently covered by security analyses.

Editorial Trust, testing and transition SAE Standards News SAE updates J3016 automated-driving graphic View from a Visionary Chris Urmson helped give birth to vehicle autonomy. His company, Aurora, is leading the technology to maturity and widespread adoption. Extending EV Range Using AV Programming Intelligent programming of autonomous electric vehicles offers potentially big energy savings, according to a study by IAV. Intel Study: Autonomous Vehicles Expected to be Common-in 50 Years New U.S. consumer survey sees most Americans "expect" AVs, though many currently fear the technology. Europe's Latest AV Testing Facilities Key for Swift Autonomous Adoption The need for data sharing and commonality in burgeoning AV technologies is bringing new meaning to the words 'proving grounds.' End Public 'Shadow' Driving! The best way to test and train AI for autonomous vehicles is through proper simulation, systems engineering, and an end-state scenario matrix.

Abstract Trust in the digital data from heavy vehicle event data recorders (HVEDRs) is paramount to using the data in legal contests. Ensuring the trust in the HVEDR data requires an examination of the ways the digital information can be attacked, both purposefully and inadvertently. The goal or objective of an attack on HVEDR data will be to have the data omitted in a case. To this end, we developed an attack tree and establish a model for violating the trust needed for HVEDR data. The attack tree provides context for mitigations and also for functional requirements. A trust model is introduced as well as a discussion on what constitutes forensically sound data. The main contribution of this article is an attack tree-based model of both malicious and accidental events contributing to compromised event data recorder (EDR) data. A comprehensive list of mitigations for HVEDR systems results from this analysis.