Efficient statistical validation with edge cases to evaluate Highly Automated Vehicles. - Dhanoop Karunakaran; Stewart Worrall 002; Eduardo M. Nebot (ITSC, 2020)

Efficient falsification approach for autonomous vehicle validation using a parameter optimisation technique based on reinforcement learning. - Dhanoop Karunakaran; Stewart Worrall 002; Eduardo M. Nebot (CoRR, 2020)

Parameterisation of lane-change scenarios from real-world data. - Dhanoop Karunakaran; Julie Stephany Berrio; Stewart Worrall 002; Eduardo M. Nebot (ITSC, 2022)

Automatic lane change scenario extraction and generation of scenarios in OpenX format from real-world data. - Dhanoop Karunakaran; Julie Stephany Berrio; Stewart Worrall 002; Eduardo M. Nebot (CoRR, 2022)

Critical concrete scenario generation using scenario-based falsification. - Dhanoop Karunakaran; Julie Stephany Berrio; Stewart Worrall 002; Eduardo M. Nebot (CoRR, 2022)

Generating Edge Cases for Testing Autonomous Vehicles Using Real-World Data. - Dhanoop Karunakaran; Julie Stephany Berrio Perez; Stewart Worrall 002 (Sensors, 2024)