11 citations · 30 across the 9 of their papers we have counts for
9 papers
Practical validation of synthetic pre-crash scenarios
Jian Wu, Ulrich Sander, Carol Flannagan +1
The representativeness of synthetic pre-crash scenarios is crucial for assessing the safety impact of Driving Automation Systems through virtual simulations. However, a gap remains…
Model-based generation of representative rear-end crash scenarios across the full severity range using pre-crash data
Jian Wu, Carol Flannagan, Ulrich Sander +1
Generating representative rear-end crash scenarios is crucial for safety assessments of Advanced Driver Assistance Systems (ADAS) and Automated Driving systems (ADS). However, exis…
Validation of human benchmark models for Automated Driving System approval: How competent and careful are they really?
Pierluigi Olleja, Gustav Markkula, Jonas Bärgman
Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) are expected to improve comfort, productivity and, most importantly, safety for all road users. To ens…
Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman +1
Due to the technical complexity and social impact, automated vehicle (AV) development challenges the current state of automotive engineering practice. Research shows that it is imp…
Continuous Experimentation and Human Factors An Exploratory Study
Amna Pir Muhammad, Eric Knauss, Jonas Bärgman +1
In todays rapidly evolving technological landscape, the success of tools and systems relies heavily on their ability to meet the needs and expectations of users. User-centered desi…
Modeling Lead-vehicle Kinematics For Rear-end Crash Scenario Generation
Jian Wu, Carol Flannagan, Ulrich Sander +1
The use of virtual safety assessment as the primary method for evaluating vehicle safety technologies has emphasized the importance of crash scenario generation. One of the most co…
Methodological challenges of scenario generation validation: a rear-end crash-causation model for virtual safety assessment
Jonas Bärgman, Malin Svärd, Simon Lundell +1
Safety assessment of crash and conflict avoidance systems is important for both the automotive industry and other stakeholders. One type of system that needs such an assessment is…
Exploring Turn Signal Usage Patterns in Lane Changes: A Bayesian Hierarchical Modelling Analysis of Realistic Driving Data
Sarang Jokhio, Pierluigi Olleja, Jonas Bärgman +2
Using turn signals to convey a driver's intention to change lanes provides a direct and unambiguous way of communicating with nearby drivers. Nonetheless, past research has indicat…
Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle
Jordanka Kovaceva, Nikolce Murgovski, Balázs Kulcsár +2
This paper provides a general framework for efficiently obtaining the appropriate intervention time for collision avoidance systems to just avoid a rear-end crash. The proposed fra…