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Standards relevant to automated driving system safety: A systematic assessment
Transportation Engineering, 2023 Automated Driving Systems (ADSs) in road vehicles, which can undertake the dynamic driving task without requiring a human driver, are on the verge of large-scale deployment.
Stuart Ballingall +2 more
doaj +4 more sources
Decision support issues in automated driving systems
International Transactions in Operational Research, 2023 Abstract Machine learning and computational processing have advanced such that automated driving systems (ADSs) are no longer a distant reality. Many automobile manufacturers have developed prototypes; however, there exist numerous decision support issues requiring resolution to ensure mass ADS adoption.
David Rios Insua, William Caballero
exaly +3 more sources
ODD and Behavior Based Scenario Generation for Automated Driving Systems
IEEE AccessAutomated Driving Systems (ADSs) bring many benefits, however their safety assurance poses challenges. Scenario-based testing has been proposed. To provide strong safety evidence for their safety assurance, the scenario-based testing process needs to ...
Xizhe Zhang +5 more
doaj +4 more sources
Method of Evaluating Multiple Scenarios in a Single Simulation Run for Automated Vehicle Assessment [PDF]
Sensors, 2023 With advances in the technology applied to automated driving systems (ADSs), active efforts have been made to evaluate the safety of ADS in various complex situations using simulations.
Inyoung Kim +4 more
doaj +2 more sources
Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction [PDF]
Sensors, 2022 The prediction of the motion of traffic participants is a crucial aspect for the research and development of Automated Driving Systems (ADSs). Recent approaches are based on multi-modal motion prediction, which requires the assignment of a probability ...
Alberto Flores Fernández +5 more
doaj +2 more sources
Vehicles, 2023 The emergence of Automated Driving Systems (ADSs) has transformed the landscape of safety assessment. ADSs, capable of controlling a vehicle without human intervention, represent a significant shift from traditional driver-centric approaches to vehicle ...
Martin Skoglund +3 more
doaj +3 more sources
Journal of Advanced TransportationUnderstanding the conditions that affect takeover time (TOT) in conditional autonomous driving systems remains a challenging issue. The takeover process requires a seamless transition of control from the autonomous system to the driver when the system ...
Kyeongjin Lee +3 more
doaj +2 more sources
Building a Robust Scenario Library for Safety Assurance of Automated Driving Systems: A Review
IEEE AccessEnsuring the safety of Automated Driving Systems (ADSs) is both a critical and complex endeavor. The increasing demand for autonomous driving technologies underscores the importance of robust safety assurance, yet the intricate nature of these systems ...
Antonio A. Bruto da Costa +4 more
doaj +3 more sources
Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim
Energies, 2021 As the complexity of automated driving systemss (ADSs) with automation levels above level 3 is rising, virtual testing for such systems is inevitable and necessary.
Demin Nalic +4 more
doaj +1 more source
An adaptive model predictive approach for automated vehicle control in fallback procedure based on virtual vehicle scheme [PDF]
Journal of Intelligent and Connected Vehicles, 2020 Purpose – Automated driving systems (ADSs) are being developed to avoid human error and improve driving safety. However, limited focus has been given to the fallback behavior of automated vehicles, which act as a fail-safe mechanism to deal with safety ...
Wei Xue +5 more
doaj +1 more source