Phenomenon-Signal Model: Formalisation, Graph and Application
Not on the map. Why?
Abstract (arXiv)
Considering information as the basis of action, it may be of interest to examine the flow and acquisition of information between the actors in traffic. The central question is: Which signals does an automated driving system (which will be referred to as an automaton in the remainder of this paper) in traffic have to receive, decode or send in road traffic in order to act safely and in a manner that is compliant with valid standards. The phenomenon-signal model (PSM) is a method for structuring the problem area and for analysing and describing this very signal flow. The aim of this paper is to explain the basics, the structure and the application of this method.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Jul 2022.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 1; 2024: 1.
3 papers.
- 2022Grasping Causality for the Explanation of Criticality for Automated Drivingcited by 2
- 2023Conservative Estimation of Perception Relevance of Dynamic Objects for Safe Trajectories in Automotive Scenarioscited by 0
- 2024An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Drivingcited by 0
- 2024An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Driving10 Sep 2024
- 2023Conservative Estimation of Perception Relevance of Dynamic Objects for Safe Trajectories in Automotive Scenarios20 Jul 2023
- 2022Grasping Causality for the Explanation of Criticality for Automated Driving27 Oct 2022