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On Assumptions with Respect to Occlusions in Urban Environments for Automated Vehicle Speed Decisions

Systems and Control · Submitted 15 May 2023

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim In this respect, we conclude that there needs to be a broader discussion about acceptable assumptions.

how it is stated · asserted 0.76 read the record →

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arXiv ID2305.08785 (version 3)
Pith IDQ6NITRHZ, Pith's permanent record of this paper and its review
CitationMarcus Nolte, Markus Maurer, Nayel Fabian Salem, Robert Graubohm. "On Assumptions with Respect to Occlusions in Urban Environments for Automated Vehicle Speed Decisions." arXiv:2305.08785 (2023). https://pith.science/paper/Q6NITRHZ
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,213 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.53 · human participants 0.06 · controlled comparison 0.07 · randomized assignment 0.01 · states quantitative result 0.10 · compares with prior results 0.10 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v3. Results and the main claim are underlined; .

Automated driving systems are subject to various kinds of uncertainty during design, development, and operation. These kinds of uncertainty lead to an inherent risk of the technology that can be mitigated, but never fully eliminated. Situations involving obscured traffic participants have become popular examples in the field to illustrate a subset of these uncertainties that developers must deal with during system design and implementation. In this paper, we describe necessary assumptions for a speed choice in a situation in which an ego-vehicle passes parked vehicles that generate occluded areas where a human intending to cross the road could be obscured. We develop a calculation formula for a dynamic speed limit that mitigates the collision risk in this situation, and investigate the resulting speed profiles in simulation based on example assumptions. This paper has two main results: First, we show that even without worst-case assumptions, dramatically reduced speeds would be driven to avoid collisions. Second, we highlight that design decisions regarding occlusion treatment are directly related to the risk that automated vehicles pose to pedestrians in urban environments. In this respect, we conclude that there needs to be a broader discussion about acceptable assumptions.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Automated driving systems are subject to various kinds of uncertainty during design, development, and operation. background 1.00 0.05 0.02 asserted 1.00
s1 These kinds of uncertainty lead to an inherent risk of the technology that can be mitigated, but never fully eliminated. background 1.00 0.08 0.03 asserted 1.00
s2 Situations involving obscured traffic participants have become popular examples in the field to illustrate a subset of these uncertainties that developers must deal with during system design and implementation. background 1.00 0.05 0.02 asserted 1.00
s3 In this paper, we describe necessary assumptions for a speed choice in a situation in which an ego-vehicle passes parked vehicles that generate occluded areas where a human intending to cross the road could be obscured. contribution 0.97 0.76 0.04 asserted 0.95
s4 We develop a calculation formula for a dynamic speed limit that mitigates the collision risk in this situation, and investigate the resulting speed profiles in simulation based on example assumptions. method 0.70 0.96 0.04 asserted 0.99
s5 This paper has two main results: First, we show that even without worst-case assumptions, dramatically reduced speeds would be driven to avoid collisions. result 1.00 0.95 0.30 asserted 1.00
s6 Second, we highlight that design decisions regarding occlusion treatment are directly related to the risk that automated vehicles pose to pedestrians in urban environments. result 0.56 0.75 0.20 asserted 0.98
s7 In this respect, we conclude that there needs to be a broader discussion about acceptable assumptions. future work 0.57 0.39 0.71 asserted 0.76

What kind of paper the classifier reports this is: simulation study 0.60 · evidence from simulation or computation 1.00.

What was examined, and what was not

sources read
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not examined
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  • references and citing sentences
  • relations to other papers
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Automated driving systems are subject to various kinds of uncertainty during design, development, and operation. These kinds of uncertainty lead to an inherent risk of the technology that can be mitigated, but never fully eliminated. Situations involving obscured traffic participants have become popular examples in the field to illustrate a subset of these uncertainties that developers must deal with during system design and implementation. In this paper, we describe necessary assumptions for a speed choice in a situation in which an ego-vehicle passes parked vehicles that generate occluded areas where a human intending to cross the road could be obscured. We develop a calculation formula for a dynamic speed limit that mitigates the collision risk in this situation, and investigate the resulting speed profiles in simulation based on example assumptions. This paper has two main results: First, we show that even without worst-case assumptions, dramatically reduced speeds would be driven to avoid collisions. Second, we highlight that design decisions regarding occlusion treatment are directly related to the risk that automated vehicles pose to pedestrians in urban environments. In this respect, we conclude that there needs to be a broader discussion about acceptable assumptions.

Human review
How the literature uses it

1 arXiv paper cite this in 2 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

What it cites · 2 sentences without a confident label

Contests 1 paper
  • On the one hand, the approach positions itself in such a way that the speed adjustment under the assumption that a person could emerge from any occlusion causes a behavior that is “too defensive” [ref] or “over defensive, non natural driving” [ref] .

    On a Formal Model of Safe and Scalable Self-driving Cars · RELATED WORK · contest 0.74

Cites as background 1 paper
  • An example for the representation of safe vehicle behavior in formal rules is the Responsibility-Sensitive Safety (RSS) assurance framework for validating the safety of automated driving functions [ref] .

    On a Formal Model of Safe and Scalable Self-driving Cars · RELATED WORK · 0.93

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