A review of testing object-based environment perception for safe automated driving
Safety assurance of automated driving systems must consider uncertain environment
perception. This paper reviews literature addressing how perception testing is realized as …
perception. This paper reviews literature addressing how perception testing is realized as …
Understanding responsibility under uncertainty: A critical and sco** review of autonomous driving systems
Autonomous driving systems (ADS) operate in an environment that is inherently complex. As
these systems may execute a task without the permission of a human agent, they raise major …
these systems may execute a task without the permission of a human agent, they raise major …
[PDF][PDF] Is uncertainty quantification in deep learning sufficient for out-of-distribution detection?
Reliable information about the uncertainty of predictions from deep neural networks could
greatly facilitate their utilization in safety-critical applications. Current approaches for …
greatly facilitate their utilization in safety-critical applications. Current approaches for …
A comparison of uncertainty estimation approaches in deep learning components for autonomous vehicle applications
A key factor for ensuring safety in Autonomous Vehicles (AVs) is to avoid any abnormal
behaviors under undesirable and unpredicted circumstances. As AVs increasingly rely on …
behaviors under undesirable and unpredicted circumstances. As AVs increasingly rely on …
Towards safety-aware pedestrian detection in autonomous systems
In this paper, we present a framework to assess the quality of a pedestrian detector in an
autonomous driving scenario. To do this, we exploit performance metrics from the domain of …
autonomous driving scenario. To do this, we exploit performance metrics from the domain of …
Goal-aware RSS for complex scenarios via program logic
We introduce a goal-aware extension of responsibility-sensitive safety (RSS), a recent
methodology for rule-based safety guarantee for automated driving systems (ADS). Making …
methodology for rule-based safety guarantee for automated driving systems (ADS). Making …
Responsibility-sensitive safety: an introduction with an eye to logical foundations and formalization
I Hasuo - arxiv preprint arxiv:2206.03418, 2022 - arxiv.org
Responsibility-sensitive safety (RSS) is an approach to the safety of automated driving
systems (ADS). It aims to introduce mathematically formulated safety rules, compliance with …
systems (ADS). It aims to introduce mathematically formulated safety rules, compliance with …
RTA-IR: A runtime assurance framework for behavior planning based on imitation learning and responsibility-sensitive safety model
Y Peng, G Tan, H Si - Expert Systems with Applications, 2023 - Elsevier
Current research on artificial intelligence (AI) algorithms in safety–critical areas remains
extremely challenging due to their inability to be fully verified at design time. In this paper …
extremely challenging due to their inability to be fully verified at design time. In this paper …
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception
Data-driven models (DDM) based on machine learning and other AI techniques play an
important role in the perception of increasingly autonomous systems. Due to the merely …
important role in the perception of increasingly autonomous systems. Due to the merely …
Robustifying controller specifications of cyber-physical systems against perceptual uncertainty
Formal reasoning on the safety of controller systems interacting with plants is complex
because developers need to specify behavior while taking into account perceptual …
because developers need to specify behavior while taking into account perceptual …