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
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
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
Leveraging the GIDAS Database for the Criticality Analysis of Automated Driving Systems
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Advanced Transportation"
DOI: 10.1155/2023/1349269
Abstract: A safe introduction of automated driving systems on urban roads requires a thorough understanding of the traffic conflicts and accidents. This understanding is paramount to constructively safeguard these systems, i.e., to design a system that… read more here.
Keywords: automated driving; accident; gidas database; driving systems ... See more keywords
Autonomous Driving Systems: A Preliminary Naturalistic Study of the Tesla Model S
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Cognitive Engineering and Decision Making"
DOI: 10.1177/1555343417695197
Abstract: Autonomous and semiautonomous vehicles are currently being developed by over14 companies. These vehicles may improve driving safety and convenience, or they may create new challenges for drivers, particularly with regard to situation awareness (SA) and… read more here.
Keywords: tesla model; driving systems; preliminary naturalistic; study ... See more keywords
Drivers’ Understanding of Artificial Intelligence in Automated Driving Systems: A Study of a Malicious Stop Sign
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Cognitive Engineering and Decision Making"
DOI: 10.1177/15553434221117001
Abstract: Automated Driving Systems (ADS), like many other systems people use today, depend on successful Artificial Intelligence (AI) for safe roadway operations. In ADS, an essential function completed by AI is the computer vision techniques for… read more here.
Keywords: automated driving; artificial intelligence; stop sign; driving systems ... See more keywords