Development of an Effective Corruption-Related Scenario-Based Testing Approach for Robustness Verification and Enhancement of Perception Systems in Autonomous Driving [PDF]
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
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Measures and Methods for the Evaluation of ATO Algorithms
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
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Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim
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
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A Survey on Data-Driven Scenario Generation for Automated Vehicle Testing
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
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ContextDrive: Towards a Functional Scenario-Based Testing Framework for Context-Aware Applications
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
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Boundary Scenario Generation for HAVs Based on Classification and Local Sampling
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
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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
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Traffic Scenarios for Automated Vehicle Testing: A Review of Description Languages and Systems
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
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Towards a Model-Based Multi-Layered Approach to Describe Traffic Scenarios on a Technical Level
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
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Berthing Assistant System Using Reference Points
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
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