mlsanityData to 7 Oct 2026

Safety of the Intended Driving Behavior Using Rulebooks

arXiv 2105.04472 ↗First posted 10 May 2021cs.RO cs.AI cs.SYcited by 8

Not on the map. Why?

Abstract (arXiv)

Autonomous Vehicles (AVs) are complex systems that drive in uncertain environments and potentially navigate unforeseeable situations. Safety of these systems requires not only an absence of malfunctions but also high performance of functions in many different scenarios. The ISO/PAS 21448 [1] guidance recommends a process to ensure the Safety of the Intended Functionality (SOTIF) for road vehicles. This process starts with a functional specification that fully describes the intended functionality and further includes the verification and validation that the AV meets this specification. For the path planning function, defining the correct sequence of control actions for each vehicle in all potential driving situations is intractable. In this paper, the authors provide a link between the Rulebooks framework, presented by [2], and the SOTIF process. We establish that Rulebooks provide a functional description of the path planning task in an AV and discuss the potential usage of the method for verification and validation.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 11 of its 44 references that are in the map. First posted on arXiv 10 May 2021.

Builds on

11 of 44 references.

References · 11

  1. 2016Concrete Problems in AI Safetycited by 1,582
  2. 2017On a Formal Model of Safe and Scalable Self-driving Carscited by 129
  3. 2016Accelerated Evaluation of Automated Vehicles Safety in Lane Change Scenarios Based on Importance Sampling Techniquescited by 44
  4. 2019Liability, Ethics, and Culture-Aware Behavior Specification using Rulebookscited by 41
  5. 2019Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validationcited by 33
  6. 2019Arithmetic-Geometric Mean Robustness for Control from Signal Temporal Logic Specificationscited by 19
  7. 2019Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Drivingcited by 12
  8. 2013Minimum-violation LTL Planning with Conflicting Specificationscited by 7
  9. 2017Towards a Skill- And Ability-Based Development Process for Self-Aware Automated Road Vehiclescited by 6
  10. 2014Priority-based coordination of autonomous and legacy vehicles at intersectioncited by 3
  11. 2019Resilient Sensor Architecture Design and Tradespace Analysis for Autonomous Vehicle Localization and Mappingcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1; 2025: 2; 2026: 2.

8 papers.