Refine Your Search

Topic

Author

Search Results

Journal Article

A Novel Assessment and Administration Method of Autonomous Vehicle

2020-04-14
2020-01-0708
As a promising strategic industry group that is rapidly evolving around the world, autonomous vehicle is entering a critical phase of commercialization from demonstration to end markets. The global automotive industry and governments are facing new common topics and challenges brought by autonomous vehicle, such as how to test, assess, and administrate the autonomous vehicle to ensure their safe running in real traffic situations and proper interactions with other road users. Starting from the facts that the way to autonomous driving is the process of a robot or a machine taking over driving tasks from a human. This paper summarizes the main characteristics of autonomous vehicle which are different from traditional one, then demonstrates the limitations of the existing certification mechanism and related testing methods when applied to autonomous vehicle.
Technical Paper

Adopting Aviation Safety Knowledge into the Discussions of Safe Implementation of Connected and Autonomous Road Vehicles

2021-04-06
2021-01-0074
The development of connected and autonomous vehicles (CAVs) is progressing fast. Yet, safety and standardization-related discussions are limited due to the recent nature of the sector. Despite the effort that is initiated to kick-start the study, awareness among practitioners is still low. Hence, further effort is required to stimulate this discussion. Among the available works on CAV safety, some of them take inspiration from the aviation sector that has strict safety regulations. The underlying reason is the experience that has been gained over the decades. However, the literature still lacks a thorough association between automation in aviation and the CAV from the safety perspective. As such, this paper motivates the adoption of safe-automation knowledge from aviation to facilitate safer CAV systems.
Technical Paper

Buckendale Lecture Series: Transformational Technologies Reshaping Transportation—A Government Perspective

2018-09-01
2018-01-2011
Transportation departments are under-going a dramatic transformation, shifting from organizations focused primarily on building roads to a focus on mobility for all users. The transformation is the result of rapidly advancing autonomous vehicle technology and personal telecommunication technology. These technologies provide the opportunity to dramatically improve safety, mobility, and economic opportunity for society and industry. Future generations of engineers and other transportation professionals have the opportunity to be part of that societal change. This paper will focus on the technologies state DOT’s and the private sector are researching, developing, and deploying to promote the future of mobility and improved efficiency for commercial trucking through advancements in truck platooning, self-driving long-haul trucking, and automated last mile distribution networks.
Technical Paper

Connectivity in 2 Wheelers: Opportunities and Challenges

2019-11-21
2019-28-2437
Mobility is undergoing a “horses to cars”-sized shift that will reverberate across business and society for generations. Future of Mobility is mainly driven by 4 main pillars viz. Connected, Electrified, Automated and Shared Driving. With advancement in Communication Technology supplemented by huge customer base, Connectivity has proven to deliver better Services to the End-user. Connected Mobility is going to be the next Big Thing in the Mobility Arena. In this paper, we will try to qualitatively explore what Connected Mobility is all about and what it has to offer in terms of - Opportunities on one side as well as new challenges that were never witnessed in the realm of Mobility in the Past, with focus on the 2 wheeler segment. This paper focuses on Opportunities in terms of Location Based services, Vehicle Management, Data Analytics, Infotainment and possible Business scenarios and Models as well as challenges in Terms of Security and Data Ownership
Technical Paper

Designing a Next Generation Trailer Braking System

2021-10-11
2021-01-1268
Passenger vehicles have made astounding technological leaps in recent years. Unfortunately, little of that progress has trickled down to other segments of the transportation industry leaving opportunities for massive gains in safety and performance. In particular, the electric drum brakes on most consumer trailers differ little from those on trailers over 70 years ago. Careful examination of current production passenger vehicle hardware and trailering provided the opportunity to produce a design and test vehicle for a plausible, practical, and performant trailer braking system for the future. This study equips the trailer with high control frequency antilock braking and dynamic torque distribution through use of passenger vehicle grade apply hardware.
Technical Paper

Dyno-in-the-Loop: An Innovative Hardware-in-the-Loop Development and Testing Platform for Emerging Mobility Technologies

2020-04-14
2020-01-1057
Today’s transportation is quickly transforming with the nascent advent of connectivity, automation, shared-mobility, and electrification. These technologies will not only affect our safety and mobility, but also our energy consumption, and environment. As a result, it is of unprecedented importance to understand the overall system impacts due to the introduction of these emerging technologies and concepts. Existing modeling tools are not able to effectively capture the implications of these technologies, not to mention accurately and reliably evaluating their effectiveness with a reasonable scope. To address these gaps, a dynamometer-in-the-loop (DiL) development and testing approach is proposed which integrates test vehicle(s), chassis dynamometer, and high fidelity traffic simulation tools, in order to achieve a balance between the model accuracy and scalability of environmental analysis for the next generation of transportation systems.
Technical Paper

Evaluating Trajectory Privacy in Autonomous Vehicular Communications

2019-04-02
2019-01-0487
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.
Technical Paper

Foreseeable Misuse in Automated Driving Vehicles - The Human Factor in Fatal Accidents of Complex Automation

2017-03-28
2017-01-0059
Today, highly automated driving is paving the road for full autonomy. Highly automated vehicles can monitor the environment and make decisions more accurately and faster than humans to create safer driving conditions while ultimately achieving full automation to relieve the driver completely from participating in driving. As much as this transition from advanced driving assistance systems to fully automated driving will create frontiers for re-designing the in-vehicle experience for customers, it will continue to pose significant challenges for the industry as it did in the past and does so today. As we transfer more responsibility, functionality and control from human to machine, technologies become more complex, less transparent and making constant safe-guarding a challenge. With automation, potential misuse and insufficient system safety design are important factors that can cause fatal accidents, such as in TESLA autopilot incident.
Technical Paper

High Performance Processor Architecture for Automotive Large Scaled Integrated Systems within the European Processor Initiative Research Project

2019-04-02
2019-01-0118
Autonomous driving systems and connected mobility are the next big developments for the car manufacturers and their suppliers during the next decade. To achieve the high computing power needs and fulfill new upcoming requirements due to functional safety and security, heterogeneous processor architectures with a mixture of different core architectures and hardware accelerators are necessary. To tackle this new type of hardware complexity and nevertheless stay within monetary constraints, high performance computers, inspired by state of the art data center hardware, could be adapted in order to fulfill automotive quality requirements. The European Processor Initiative (EPI) research project tries to come along with that challenge for next generation semiconductors. To be as close as possible to series development needs for the next upcoming car generations, we present a hybrid semiconductor system-on-chip architecture for automotive.
Journal Article

Implementation Methodologies for Simulation as a Service (SaaS) to Develop ADAS Applications

2021-04-06
2021-01-0116
Over the years, the complexity of autonomous vehicle development (and concurrently the verification and validation) has grown tremendously in terms of component-, subsystem- and system-level interactions between autonomy and the human users. Simulation-based testing holds significant promise in helping to identify both problematic interactions between component-, subsystem-, and system-levels as well as overcoming delays typically introduced by the default full-scale on-road testing. Software in Loop (SiL) simulation is utilized as an intermediate step towards software deployment for autonomous vehicles (AV) to make them reliable. SiL efforts can help reduce the resources required for successful deployment by helping to validate the software for millions of road miles. A key enabler for accelerating SiL processes is the ability to use Simulation as a Service (SaaS) rather than just isolated instances of software.
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

It Takes a Village: A Case Study of Business Development and Innovation in a UAS/AUS Ecosystem to Address Critical Industry Challenges

2021-06-16
2021-01-1002
Entrepreneurial innovation that spurs economic development requires a collaborative cluster of cooperative effort, across a diverse ecosystem of partners. Literature provides resounding evidence to support the notion that an innovative, entrepreneurial ecosystem is critical to both successful economic development and industry sector growth. The UAS/AUS industry sector is a fast-growing sector across the United States, with regional leadership demonstrated in North Dakota, California, North Carolina, New York, Oklahoma, Texas and New Mexico. This case study is focused on investigating how the North Dakota autonomous systems ecosystem continues to evolves and develop mechanisms and partnerships to address industry pain points, facilitate cutting edge research, ensure high-quality UAS/AUS testing, and support an adaptive business development pipeline across the entrepreneurial life cycle.
Technical Paper

Safe Operations at Roadway Junctions - Design Principles from Automated Guideway Transit

2021-06-16
2021-01-1004
This paper describes a system-level view of a fully automated transit system comprising a fleet of automated vehicles (AVs) in driverless operation, each with an SAE level 4 Automated Driving System, along with its related safety infrastructure and other system equipment. This AV system-level control is compared to the automatic train control system used in automated guideway transit technology, particularly that of communications-based train control (CBTC). Drawing from the safety principles, analysis methods, and risk assessments of CBTC systems, comparable functional subsystem definitions are proposed for AV fleets in driverless operation. With the prospect of multiple AV fleets operating within a single automated mobility district, the criticality of protecting roadway junctions requires an approach like that of automated fixed-guideway transit systems, in which a guideway switch zone “interlocking” at each junction location deconflicts railway traffic, affirming safe passage.
Technical Paper

Secure Vehicular Communication Using Blockchain Technology

2020-04-14
2020-01-0722
Also, all the existing methods for vehicular communication rely on a centralized server which itself invite massive cyber-security threats. These threats and challenges can be addressed by using the Blockchain (BC) technology, where each transaction is logged in a decentralized immutable BC ledger.
Technical Paper

Securing Connected Vehicles End to End

2014-04-01
2014-01-0300
As vehicles become increasingly connected with the external world, they face a growing range of security vulnerabilities. Researchers, hobbyists, and hackers have compromised security keys used by vehicles' electronic control units (ECUs), modified ECU software, and hacked wireless transmissions from vehicle key fobs and tire monitoring sensors. Malware can infect vehicles through Internet connectivity, onboard diagnostic interfaces, devices tethered wirelessly or physically to the vehicle, malware-infected aftermarket devices or spare parts, and onboard Wi-Fi hotspot. Once vehicles are interconnected, compromised vehicles can also be used to attack the connected transportation system and other vehicles. Securing connected vehicles impose a range of unique new challenges. This paper describes some of these unique challenges and presents an end-to-end cloud-assisted connected vehicle security framework that can address these challenges.
Technical Paper

Service Analysis of Autonomous Driving

2020-12-30
2020-01-5194
Autonomous driving represents the ultimate goal of future automobile development. As a collaborative application that integrates vehicles, road infrastructure, network and cloud, autonomous driving business requires a high-degree dynamic cooperation among multiple resources such as data, computing and communications that are distributed throughout the system. In order to meet the anticipated high demand for resources and performance requirements of autonomous driving, and to ensure the safety and comfort of the vehicle users and pedestrians, a top concern of autonomous driving is to understand the system requirements for resources and conduct an in-depth analysis of the autonomous driving business. In this context, this paper presents a comprehensive analysis of the typical business for autonomous driving and establishes an analysis model for five common capabilities, i.e. collection, transmission, intelligent computing, human-machine interaction (HMI), and security.
Technical Paper

Technical Trends of the Intelligent Connected Vehicle and Development Stage Division for Freeway Traffic Control

2020-12-30
2020-01-5134
It is deemed that currently the intelligent connected vehicle (ICV) is in its early stage of development, and it will go through multiple development stages in the future to realize its final goal—autonomous driving. Based on the existing ICV researches, this paper believes that ICV can be used to improve the efficiency and safety of freeway. The current research of ICV has two main directions: one focuses on the traffic flow characteristics of vehicles with different attributes, the other is concerned with using ICV to reduce congestion. From the policies issued by countries around the world and the development plans promoted by major vehicle manufacturers, the future development trends and challenges of ICV are analyzed. ICV must overcome all the shortcomings to achieve its final goal, including insufficient hardware capabilities or excessive cost, and the degree of intelligence that needs to be improved.
X