A Credibility Assessment Approach for Scenario-Based Virtual Testing of Automated Driving Functions
An immense test space is pushing the development and testing of automated driving functions from real to virtual environments. The virtual world is provided by interconnected simulation models representing sensors, vehicle dynamics, and both static and ...
Christoph Stadler +4 more
doaj +2 more sources
Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios
The development of safety validation methods is essential for the safe deployment and operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to prospectively evaluate the risk of an ADS dealing with real-world traffic ...
Erwin de Gelder +5 more
doaj +2 more sources
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving [PDF]
Deep neural networks (DNNs) have proven their capabilities in the past years and play a significant role in environment perception for the challenging application of automated driving. They are employed for tasks such as detection, semantic segmentation,
Manuel Schwonberg +6 more
semanticscholar +1 more source
A Survey on Automated Driving System Testing: Landscapes and Trends [PDF]
Automated Driving Systems (ADS) have made great achievements in recent years thanks to the efforts from both academia and industry. A typical ADS is composed of multiple modules, including sensing, perception, planning, and control, which brings together
Shuncheng Tang +10 more
semanticscholar +1 more source
Learning and Aggregating Lane Graphs for Urban Automated Driving [PDF]
Lane graph estimation is an essential and highly challenging task in automated driving and HD map learning. Existing methods using either onboard or aerial imagery struggle with complex lane topologies, out-oj-distribution scenar-ios, or significant ...
M. Buchner +4 more
semanticscholar +1 more source
Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study
Scenario-based approaches have been receiving a huge amount of attention in research and engineering of automated driving systems. Due to the complexity and uncertainty of the driving environment, and the complexity of the driving task itself, the number
Xinhai Zhang +11 more
semanticscholar +1 more source
Surround-View Fisheye Camera Perception for Automated Driving: Overview, Survey & Challenges [PDF]
Surround-view fisheye cameras are commonly used for near-field sensing in automated driving. Four fisheye cameras on four sides of the vehicle are sufficient to cover 360° around the vehicle capturing the entire near-field region.
V. Kumar +3 more
semanticscholar +1 more source
(1) Background: Primary driving tasks are increasingly being handled by vehicle automation so that support for non-driving related tasks (NDRTs) is becoming more and more important.
Clemens Schartmüller +5 more
doaj +1 more source
Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving [PDF]
Situation awareness (SA) is critical to improving takeover performance during the transition period from automated driving to manual driving. Although many studies measured SA during or after the driving task, few studies have attempted to predict SA in ...
Feng Zhou, X. J. Yang, J. D. Winter
semanticscholar +1 more source
The automation of our vehicles is an all-present topic with great benefits for society, particularly in the area of public transport and pilot projects of automated shuttle buses are already underway. However, they do not show the full potential of using
Martina Schuß +2 more
doaj +1 more source

