8 citations · 9 across the 5 of their papers we have counts for
5 papers
Critical concrete scenario generation using scenario-based falsification
Dhanoop Karunakaran, Julie Stephany Berrio, Stewart Worrall +1
Autonomous vehicles have the potential to lower the accident rate when compared to human driving. Moreover, it is the driving force of the automated vehicles' rapid development ove…
Parameterisation of lane-change scenarios from real-world data
Dhanoop Karunakaran, Julie Stephany Berrio, Stewart Worrall +1
Recent Autonomous Vehicles (AV) technology includes machine learning and probabilistic techniques that add significant complexity to the traditional verification and validation met…
Automatic lane change scenario extraction and generation of scenarios in OpenX format from real-world data
Dhanoop Karunakaran, Julie Stephany Berrio, Stewart Worrall +1
Autonomous Vehicles (AV)'s wide-scale deployment appears imminent despite many safety challenges yet to be resolved. The modern autonomous vehicles will undoubtedly include machine…
Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning
Dhanoop Karunakaran, Stewart Worrall, Eduardo Nebot
The widescale deployment of Autonomous Vehicles (AV) appears to be imminent despite many safety challenges that are yet to be resolved. It is well-known that there are no universal…
Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles
Dhanoop Karunakaran, Stewart Worrall, Eduardo Nebot
The widescale deployment of Autonomous Vehicles (AV) seems to be imminent despite many safety challenges that are yet to be resolved. It is well known that there are no universally…