Moral Complexity in Traffic: Advancing the ADC Model for Automated Driving Systems
Sign Up to like & getrecommendations! Published in 2025 at "Science and Engineering Ethics"
DOI: 10.1007/s11948-025-00528-1
Abstract: The incorporation of ethical settings in Automated Driving Systems (ADSs) has been extensively discussed in recent years with the goal of enhancing potential stakeholders’ trust in the new technology. However, a comprehensive ethical framework for… read more here.
Keywords: complexity traffic; adc model; driving systems; automated driving ... See more keywords
Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3136585
Abstract: The development of safety validation methods is essential for the safe deployment and operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to prospectively evaluate the risk of an ADS… read more here.
Keywords: risk; safety; automated driving; driving systems ... See more keywords
Virtual Testing of Automated Driving Systems. A Survey on Validation Methods
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3153722
Abstract: This paper surveys the state-of-the-art contributions supporting the validation of virtual testing toolchains for Automated Driving System (ADS) verification. The work builds upon the well-known limitations of physical testing while conceiving the virtual counterpart as… read more here.
Keywords: virtual testing; automated driving; validation; level ... See more keywords
OptiCloak: Blinding Vision-Based Autonomous Driving Systems Through Adversarial Optical Projection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3405006
Abstract: Studies have proven that applying patch stickers generated through adversarial training to target objects can effectively deceive classifiers or target detectors. These “Print-and-paste” adversarial attacks however have three shortcomings. First, touching the target object physically… read more here.
Keywords: vision based; attack; driving systems; based autonomous ... See more keywords
Enhancing Sensing and Decision-Making of Automated Driving Systems With Multi-Access Edge Computing and Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Intelligent Transportation Systems Magazine"
DOI: 10.1109/mits.2019.2953513
Abstract: Emerging self-driving vehicles are now capable of sensing the environment and performing autonomous operations, paving the way to a more efficient, safer, and greener transportation system. On the other hand, emerging technologies such as vehicle-to-everything… read more here.
Keywords: automated driving; machine learning; driving systems; edge computing ... See more keywords
Testing Predictive Automated Driving Systems: Lessons Learned and Future Recommendations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Intelligent Transportation Systems Magazine"
DOI: 10.1109/mits.2022.3170649
Abstract: Conventional vehicles are certified through classical approaches, where different physical certification tests are set up on test tracks to assess the required safety levels. These approaches are well suited for vehicles with limited complexity and… read more here.
Keywords: automated driving; predictive systems; testing predictive; driving functions ... See more keywords
Adaptive Predefined Performance Sliding Mode Control of Motor Driving Systems With Disturbances
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Energy Conversion"
DOI: 10.1109/tec.2020.3038010
Abstract: In this paper, a predefined time sliding mode control with prescribed performance is presented for dual-inertia driving systems with unknown disturbances. A modified prescribed performance function (PPF) without requiring the accurate initial error is designed… read more here.
Keywords: sliding mode; control; driving systems; adaptive predefined ... See more keywords
Energy-Efficient Trajectory Optimization of Autonomous Driving Systems With Personalized Driving Style
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2024.3441662
Abstract: This article proposes a three-layer framework for autonomous driving systems with optimized trajectory generation and tracking, ensuring optimal energy efficiency during the whole process. The third-order minimize curvature method is built in the first layer,… read more here.
Keywords: layer; efficiency; energy; energy efficient ... See more keywords
Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3135266
Abstract: Driver’s under-arousal occurred in automated driving systems (ADS) impairs takeover safety. This study aims to determine electrodermal activity (EDA) features’ importance for driver’s arousal quantification. A car-following simulator study was conducted with participants concurrently executing… read more here.
Keywords: automated driving; driver arousal; cognitive load; driving systems ... See more keywords
Multi-Attention DenseNet: A Scattering Medium Imaging Optimization Framework for Visual Data Pre-Processing of Autonomous Driving Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3145815
Abstract: The vision system is important for almost all kinds of autonomous driving systems. However, visual data interfered by scattering media, such as smoke, haze, water, and other non-uniform media will be degraded seriously, showing the… read more here.
Keywords: visual data; scattering medium; driving systems; attention ... See more keywords
Safety Analysis of Autonomous Driving Systems: A Simulation-Based Runtime Verification Approach
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2025.3561455
Abstract: Ensuring the safety of autonomous driving systems (ADSs) through rigorous verification in simulated environments is crucial before real-world deployment. However, using simulation environments for ADS testing and verification poses several challenges, including specifying various behaviors… read more here.
Keywords: runtime verification; verification; simulation; driving systems ... See more keywords