Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles

Citations in the corpus

• A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “The Society of Automotive Engineers (SAE) refers to hardware-software systems that can execute dynamic driving tasks (DDT) on a sustainable basis as ADS [19].”
• Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control (2017, background): “In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 11–18). New York, NY: ACM. Walker, G. H., Stanton, N. A., & Salmon, P. M. (2015). Human factors in automotive engineering and technology. Aldershot, UK: Ashgate. Willemsen, D.”
• Communicating Intent of Automated Vehicles to Pedestrians (2018, methodology): “Automated vehicles with high levels of automation (see SAE International, 2016) able to operate in urban and suburban environments are generally not available on the market yet.”
• Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks (2021, background): “, Level-4 [1]) self-driving cars, or Autonomous Vehicles (AV) [2], are under rapid development.”
• A multi-level model on automated vehicle acceptance (MAVA): a review-based study (2019, unknown): “2016; Salonen 2018; Nazari et al.”
• A Survey on Multimodal Large Language Models for Autonomous Driving (2023, background): “This issue becomes more pressing as semi-autonomous driving systems, particularly SAE Level 3 systems, gain prominence, requiring drivers to be ready to take control when prompted [147].”
• Position: Levels of AGI for Operationalizing Progress on the Path to AGI (2023, unknown): “We suggest that the ability to perform physical tasks increases a system’s generality, but should not be considered a necessary prerequisite to achieving AGI.”
• SoilingNet: Soiling Detection on Automotive Surround-View Cameras (2019, background): “Level 2 [8], soiling detection was done to let the human driver know that vision algorithms are less reliable.”
• Survey on Scenario-Based Safety Assessment of Automated Vehicles (2020, background): “SAE Tech.”
• A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers (2018, background): “While fully autonomous vehicles at Automation Level 5 per SAE-J3016 [1] may only be widely available in the more distant future, partially or highly automated features at Automation Level 2, 3, or 4 look promising to be commercially available in the near future.”