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Development of an Effective Corruption-Related Scenario-Based Testing Approach for Robustness Verification and Enhancement of Perception Systems in Autonomous Driving [PDF]

open access: yesSensors
Given that sensor-based perception systems are utilized in autonomous vehicle applications, it is essential to validate such systems to ensure their robustness before they are deployed.
Huang Hsiang, Yung-Yuan Chen
doaj   +2 more sources

Measures and Methods for the Evaluation of ATO Algorithms

open access: yesApplied Sciences, 2022
There is increasing interest in automating train operations of mainline services, e.g., to increase network capacity. Automatic train operation (ATO) is already achieved by several pilot projects, but is still not implemented on a large scale. Functional,
Patrick Bochmann, Birgit Jaekel
doaj   +1 more source

Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim

open access: yesEnergies, 2021
As the complexity of automated driving systemss (ADSs) with automation levels above level 3 is rising, virtual testing for such systems is inevitable and necessary.
Demin Nalic   +4 more
doaj   +1 more source

A Survey on Data-Driven Scenario Generation for Automated Vehicle Testing

open access: yesMachines, 2022
Automated driving is a promising tool for reducing traffic accidents. While some companies claim that many cutting-edge automated driving functions have been developed, how to evaluate the safety of automated vehicles remains an open question, which has ...
Jinkang Cai   +5 more
doaj   +1 more source

ContextDrive: Towards a Functional Scenario-Based Testing Framework for Context-Aware Applications

open access: yesIEEE Access, 2021
Context-aware applications are emerging applications in the modern era of computing. These applications can determine and adapt to situational context to provide better user experience. Testing these applications is not straightforward.
Aamir Mehmood Mirza   +6 more
doaj   +1 more source

Boundary Scenario Generation for HAVs Based on Classification and Local Sampling

open access: yesMachines, 2023
High-level Automated Vehicles (HAVs) are expected to improve traffic safety significantly. However, verifying and evaluating HAVs remains an open problem. Scenario-based testing is a promising method for HAV testing.
Jinkang Cai   +5 more
doaj   +1 more source

Design and Implementation of an Ontology for Semantic Labeling and Testing: Automotive Global Ontology (AGO)

open access: yesApplied Sciences, 2021
Modern Artificial Intelligence (AI) methods can produce a large quantity of accurate and richly described data, in domains such as surveillance or automation.
Itziar Urbieta   +3 more
doaj   +1 more source

Traffic Scenarios for Automated Vehicle Testing: A Review of Description Languages and Systems

open access: yesMachines, 2021
Testing and validation of the functionalities and safety of automated vehicles shifted from a distance-based to a scenario-based method in the past decade. A number of domain-specific languages and systems were developed to support scenario-based testing.
Jing Ma   +3 more
doaj   +1 more source

Towards a Model-Based Multi-Layered Approach to Describe Traffic Scenarios on a Technical Level

open access: yesJournal of Marine Science and Engineering, 2021
Highly automated vehicles are increasingly gaining the public’s attention. To achieve broad acceptance for the deployment of such vehicles, it is necessary to ensure their functionality and safety.
David Reiher, Axel Hahn
doaj   +1 more source

Berthing Assistant System Using Reference Points

open access: yesJournal of Marine Science and Engineering, 2022
With more goods to be transported oversea, traffic and vessels’ dimensions increase while berthing areas merely remain constant and thus challenge ship masters and pilots to maneuver in small basins with dense traffic even in bad weather situations.
Jan Mentjes   +2 more
doaj   +1 more source

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