8 citations · 13 across the 4 of their papers we have counts for
4 papers
Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Models
Christian Reichenbächer, Philipp Rank, Jochen Hipp +1
This paper presents the first application of Gaussian Mixture Copula Models to the statistical modeling of driving scenarios for the safety validation of automated driving systems.…
Statistical Modelling of Driving Scenarios in Road Traffic using Fleet Data of Production Vehicles
Christian Reichenbächer, Jochen Hipp, Oliver Bringmann
Ensuring the safety of road vehicles at an acceptable level requires the absence of any unreasonable risk arising from all potential hazards linked to the intended au-tomated drivi…
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas +4
Scenario-based approaches for the validation of highly automated driving functions are based on the search for safety-critical characteristics of driving scenarios using software-i…
The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet
Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer +1
The prediction of surrounding traffic participants behavior is a crucial and challenging task for driver assistance and autonomous driving systems. Today's approaches mainly focus…