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Technical Paper

Wireless Charging for EV/HEV with Prescriptive Analytics, Machine Learning, Cybersecurity and Blockchain Technology: Ongoing and Future Trends

2019-04-02
2019-01-0790
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.
Technical Paper

Intelligent Vehicle Monitoring for Safety and Security

2019-04-02
2019-01-0129
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.
Technical Paper

UAS Behaviour and Consistency Monitoring System for Countering Cyber Security Threats

2014-09-16
2014-01-2131
Upon their arrival, Unmanned Autonomous Systems (UAS) brought with them many benefits for those involved in a military campaign. They can use such systems to reconnoiter dangerous areas, provide 24-hr aerial security surveillance for force protection purposes or even attack enemy targets all the while avoiding friendly human losses in the process. Unfortunately, these platforms also carry the inherent risk of being built on innately vulnerable cybernetic systems. From software which can be tampered with to either steal data, damage or even outright steal the aircraft, to the data networks used for communications which can be jammed or even eavesdropped on to gain access to sensible information. All this has the potential to turn the benefits of UAS into liabilities and although the last decade has seen great advances in the development of protection and countermeasures against the described threats and beyond the risk still endures.
Journal Article

Design Approach for Secure Networks to Introduce Data Analytics within the Aircraft Cabin

2019-09-16
2019-01-1853
In the past, aircraft network design did not demand for information security considerations. The aircraft systems were simple, obscure, proprietary and, most importantly for security, the systems have been either physically isolated or they have been connected by directed communication links. The union of the aircraft systems thus formed a federated network. These properties are in sharp contrast with today’s system designs, which rest upon platform-based solutions with shared resources being interconnected by a massively meshed and shared communication network. The resulting connectivity and the high number of interfaces require an in-depth security analysis as the systems also provide functions that are required for the safe operation of the aircraft. This network design evolution, however, resulted in an iterative and continuous adaption of existing network solutions as these have not been developed from scratch.
Research Report

Unsettled Technology Opportunities for Vehicle Health Management and the Role for Health-Ready Components

2020-03-17
EPR2020003
Game-changing opportunities abound for the application of vehicle health management (VHM) across multiple transportation-related sectors, but key unresolved issues continue to impede progress. VHM technology is based upon the broader field of advanced analytics. Much of traditional analytics efforts to date have been largely descriptive in nature and offer somewhat limited value for large-scale enterprises. Analytics technology becomes increasingly valuable when it offers predictive results or, even better, prescriptive results, which can be used to identify specific courses of action. It is this focus on action which takes analytics to a higher level of impact, and which imbues it with the potential to materially impact the success of the enterprise. Artificial intelligence (AI), specifically machine learning technology, shows future promise in the VHM space, but it is not currently adequate by itself for high-accuracy analytics.
Technical Paper

Recognizing Manipulated Electronic Control Units

2015-04-14
2015-01-0202
Combatting the modification of automotive control systems is a current and future challenge for OEMs and suppliers. ‘Chip-tuning’ is a manifestation of manipulation of a vehicle's original setup and calibration. With the increase in automotive functions implemented in software and corresponding business models, chip tuning will become a major concern. Recognizing and reporting of tuned control units in a vehicle is required for technical as well as legal reasons. This work approaches the problem by capturing the behavior of relevant control units within a machine learning system called a recognition module. The recognition module continuously monitors vehicle's sensor data. It comprises a set of classifiers that have been trained on the intended behavior of a control unit before the vehicle is delivered. When the vehicle is on the road, the recognition module uses the classifier together with current data to ascertain that the behavior of the vehicle is as intended.
Research Report

Unsettled Topics in the Application of Satellite Navigation to Air Traffic Management

2020-05-27
EPR2020010
Contemporary air traffic management (ATM) challenges are both (1) acute and (2) growing at rates far outpacing established ways for absorbing technological innovation. Lack of timely response will guarantee failure to meet demands. Immediately that creates a necessity to identify means of coping and judging new technologies based on possible speed of adoption. Paralleling the challenges are developments in capability, both recent and decades old. Some steps (e.g., Global Positioning System (GPS) backup) are well known and, in fact, should have progressed further long ago. Others (e.g., sharing raw measurements instead of position fixes) are equally well known and, if followed by further flight tests initiated (and successful) years ago, would have produced a wealth of in-flight experience by now if development had continued. Other possibilities (e.g., automated pilot override) are much less common and are considered largely experimental.
Technical Paper

The Autonomous Vehicle Challenges for Emergent Market

2017-11-07
2017-36-0436
Technological advances in both hardware (Nano-electronics) and software (artificial intelligence) are increasingly influencing our lives on equipment and devices that surrounds us and more recently our means of locomotion. The autonomous vehicles, which previously appeared only in movie scenes, can already be found in our environment, such as ships, cars, trucks, tractors and aero engines. Considering the autonomous vehicles, its launching is much closer than we could imagine, since many companies signalize having the conditions to launch them in a large scale within 2018 year. The insertion of this type of technology opens a range of advances related to vehicles and the environment in which it is inserted. The communication between the vehicles, roads and people can be highlighted. These advances reveal a series of benefits to the customer such as free time during the route, higher safety, etc.
Magazine

Autonomous Vehicle Engineering: November 2019

2019-11-01
Editorial Bill Visnic: Expect the unexpected The Navigator Sam Abuelsamid: Separating illusion from magic in AV deployment The Road to Automobility The era of electrified, self-driving vehicles is upon us. Engineers are key to the transformation - with much hard work still to be done. Far and Away: Remote Drivers Monitor Autonomous Vehicles Remote operators are helping autonomous shuttles and other AVs navigate through complex situations. Mapping Canada - Centimeter by Centimeter A Montreal-based company leverages artificial intelligence to take on the task of developing high-definition maps of Canada. You've Lost That Queasy Feeling… Transcontinental research aims to understand the complex nature of motion sickness to help improve the automated-vehicle experience. 3D Sonar Sees Objects Overlooked by Costlier Sensors A dream of robotic fish inspires inexpensive automated-driving sensing technology that works for the critical areas close to the vehicle.
Magazine

Automotive Engineering: January 6, 2016

2016-01-06
Time to get personal Industry engineers are combining apps, voice, the cloud, and other technologies such as artificial intelligence to enable drivers to customize their vehicles and anticipate their needs. Technology report GM and TARDEC co-developing fuel cell powered Chevrolet Colorado for military evaluation vehicles and anticipate their needs. Global vehicles Sports cars take center stage in Tokyo
Research Report

Unsettled Technology Areas in Autonomous Vehicle Test and Validation

2019-06-12
EPR2019001
Automated driving system (ADS) technology and ADS-enabled/operated vehicles - commonly referred to as automated vehicles and autonomous vehicles (AVs) - have the potential to impact the world as significantly as the internal combustion engine. Successful ADS technologies could fundamentally transform the automotive industry, civil planning, the energy sector, and more. Rapid progress is being made in artificial intelligence (AI), which sits at the core of and forms the basis of ADS platforms. Consequently, autonomous capabilities such as those afforded by advanced driver assistance systems (ADAS) and other automation solutions are increasingly becoming available in the marketplace. To achieve highly or fully automated or autonomous capabilities, a major leap forward in the validation of these ADS technologies is required. Without this critical cog, helping to ensure the safety and reliability of these systems and platforms, the full capabilities of ADS technology will not be realized.
Article

Software needs security, and security needs software: a scientific overview

2019-04-22
Software needs security. That's a consequence of using software to control critical systems. It's difficult because software is inherently a complex artifact, even when the code just consists of a single sequential program in a single programming language, with well-defined inputs and outputs. Of course, actual software rarely if ever has such a simple structure. Security needs software. That's a consequence of the complexity just mentioned. No process can ensure security at scale unless it is automated by using software itself: programming languages, verification tools, software platforms.
Article

Nvidia partners with AdaCore to secure self-driving firmware

2019-02-14
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.
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