Dhanoop Karunakaran

Dhanoop Karunakaran
  • PhD Student at The University of Sydney

About

10
Publications
4,179
Reads
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81
Citations
Introduction
Robotics, Artificial Intelligence, Safety
Current institution
The University of Sydney
Current position
  • PhD Student
Education
March 2019 - February 2023
The University of Sydney
Field of study
  • Robotics
July 2009 - June 2011
University of Wollongong
Field of study
  • Information Technology
June 2004 - June 2008
Mahatma Gandhi University
Field of study
  • Computer Science and Engineering

Publications

Publications (10)
Article
Full-text available
In the past decade, automotive companies have invested significantly in autonomous vehicles (AV), but achieving widespread deployment remains a challenge in part due to the complexities of safety evaluation. Traditional distance-based testing has been shown to be expensive and time-consuming. To address this, experts have proposed scenario-based te...
Preprint
Full-text available
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 over the last few years. In the higher Society of Automotive Engineers (SAE) automation level, the vehicle's and passengers' safety responsibility is transferred from the dr...
Preprint
Full-text available
Recent Autonomous Vehicles (AV) technology includes machine learning and probabilistic techniques that add significant complexity to the traditional verification and validation methods. The research community and industry have widely accepted scenario-based testing in the last few years. As it is focused directly on the relevant crucial road situat...
Preprint
Full-text available
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 learning and probabilistic techniques that add significant complexity to the traditional verification and validation methods. Road testing is essential before the deploy...
Preprint
Full-text available
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 universally agreed Verification and Validation (VV) methodologies guarantee absolute safety, which is crucial for the acceptance of this technology. The uncertainties in the behav...
Preprint
Full-text available
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 agreed Verification and Validation (VV) methodologies to guarantee absolute safety, which is crucial for the acceptance of this technology. Existing standards focus on d...

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