Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment

@article{Watanabe2018VerisimilarPS,
  title={Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment},
  author={Thomio Watanabe and Denis Fernando Wolf},
  journal={2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE)},
  year={2018},
  pages={219-224}
}
  • Thomio Watanabe, D. Wolf
  • Published 7 May 2018
  • Computer Science
  • 2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE)
The autonomous car technology promises to replace human drivers with safer driving systems. But although autonomous cars can become safer than human drivers this is a long process that is going to be refined over time. Before these vehicles are deployed on urban roads a minimum safety level must be assured. Since the autonomous car technology is still under development there is no standard methodology to evaluate such systems. It is important to completely understand the technology that is… Expand
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