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The automotive industry is experiencing a transition from assisted to highly automated driving. New concepts for validation of Automated Driving System (ADS) include amongst other a shift from a "technology based" approach to a "scenario…

软件工程 · 计算机科学 2023-02-02 Ilona Cieslik , Víctor J. Expósito Jiménez , Helmut Martin , Heiko Scharke , Hannes Schneider

Drivers are becoming increasingly reliant on advanced driver assistance systems (ADAS) as autonomous driving technology becomes more popular and developed with advanced safety features to enhance road safety. However, the increasing…

密码学与安全 · 计算机科学 2025-06-23 Cheng Chen , Grant Xiao , Daehyun Lee , Lishan Yang , Evgenia Smirni , Homa Alemzadeh , Xugui Zhou

Safety architectures play a crucial role in the safety assurance of automated driving vehicles (ADVs). They can be used as safety envelopes of black-box ADV controllers, and for graceful degradation from one ODD to another. Building on our…

机器人学 · 计算机科学 2023-08-22 Clovis Eberhart , Jérémy Dubut , James Haydon , Ichiro Hasuo

This paper offers a tutorial on current middlewares in automated vehicles. Our aim is to provide the reader with an overview of current middlewares and to identify open challenges in this field. We start by explaining the fundamentals of…

软件工程 · 计算机科学 2026-01-13 David Philipp Klüner , Marius Molz , Alexandru Kampmann , Stefan Kowalewski , Bassam Alrifaee

The advancement of vehicle automation and the growing adoption of electric vehicles (EVs) are reshaping transportation systems. While fully automated vehicles are expected to improve traffic stability, efficiency, and sustainability, recent…

新兴技术 · 计算机科学 2026-01-27 Gabriel Geffen , Jun Zhao , Mingfeng Shang , Shian Wang , Yao-Jan Wu

To enable highly automated vehicles where the driver is no longer a safety backup, the vehicle must deal with various Functional Insufficiencies (FIs). Thus-far, there is no widely accepted functional architecture that maximizes the…

机器人学 · 计算机科学 2024-01-17 C. A. J. Hanselaar , E. Silvas , A. Terechko , W. P. M. H. Heemels

Autonomous driving technology pledges safety, convenience, and energy efficiency. Challenges include the unknown intentions of other road users: communication between vehicles and with the road infrastructure is a possible approach to…

系统与控制 · 计算机科学 2018-04-12 Jacopo Guanetti , Yeojun Kim , Francesco Borrelli

Mobility is the backbone of urban life and a vital economic factor in the development of the world. Rapid urbanization and the growth of mega-cities is bringing dramatic changes in the capabilities of vehicles. Innovative solutions like…

网络与互联网体系结构 · 计算机科学 2019-06-25 Furqan Jameel , Zheng Chang , Jun Huang , Tapani Ristaniemi

Designing, assuring and releasing safe automated vehicles is a highly interdisciplinary process. As complex systems, automated driving systems will inevitably be subject to emergent properties, i. e., the properties of the overall system…

系统与控制 · 电气工程与系统科学 2025-02-11 Marcus Nolte , Markus Maurer

Autonomous and connected vehicles are rapidly evolving, integrating numerous technologies and software. This progress, however, has made them appealing targets for cybersecurity attacks. As the risk of cyber threats escalates with this…

Self-adaptive robotic systems operate autonomously in dynamic and uncertain environments, requiring robust real-time monitoring and adaptive behaviour. Unlike traditional robotic software with predefined logic, self-adaptive robots exploit…

Augmenting automated vehicles to wirelessly detect and respond to external events before they are detectable by onboard sensors is crucial for developing context-aware driving strategies. To this end, we present an automated vehicle…

Cybersecurity has gained importance for cars that increasingly rely on software and networks. "Smartphone on wheels" is often used as an analogy to highlight the need for security. As a high-value target of cyberattacks, modern smartphones…

密码学与安全 · 计算机科学 2022-01-10 Zhendong Ma

Addressing the challenge of ensuring safety in ever-changing and unpredictable environments, particularly in the swiftly advancing realm of autonomous driving in today's 5G wireless communication world, we present Navigation Secure…

机器人学 · 计算机科学 2024-11-26 Hong Ding , Ziming Wang , Yi Ding , Hongjie Lin , SuYang Xi , Chia Chao Kang

The rapid advancements in autonomous vehicle software present both opportunities and challenges, especially in enhancing road safety. The primary objective of autonomous vehicles is to reduce accident rates through improved safety measures.…

机器人学 · 计算机科学 2024-10-22 Carlos Conejo , Vicenç Puig , Bernardo Morcego , Francisco Navas , Vicente Milanés

Automated Driving is revolutionizing many of the traditional ways of operation in the automotive industry. The impact on safety engineering of automotive functions is arguably one of the most important changes. There has been a need to…

机器人学 · 计算机科学 2019-12-03 Naveen Mohan , Martin Törngren

Functional dependencies and feature interactions in automotive software systems are a major source of erroneous and deficient behavior. To overcome these problems, many approaches exist that focus on modeling these functional dependencies…

软件工程 · 计算机科学 2017-08-30 Andreas Vogelsang , Steffen Fuhrmann

The interest in autonomous vehicles (AVs) for critical missions, including transportation, rescue, surveillance, reconnaissance, and mapping, is growing rapidly due to their significant safety and mobility benefits. AVs consist of complex…

密码学与安全 · 计算机科学 2025-09-23 Md Wasiul Haque , Md Erfan , Sagar Dasgupta , Md Rayhanur Rahman , Mizanur Rahman

In the rapidly evolving landscape of software engineering, the demand for robust and secure systems has become increasingly critical. This is especially true for self-adaptive systems due to their complexity and the dynamic environments in…

Just as the world of consumer devices was forever changed by the introduction of computer controlled solutions, the introduction of the engine control unit (ECU) gave rise to the automobile's transformation from a transportation product to…

密码学与安全 · 计算机科学 2022-07-14 Mark Quinlan , Jun Zhao , Andrew Simpson