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Transformation of controller software to ensure safe behavior under perceptual uncertainty


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IMAGE: Figure 1. (a) Example of safe uncertainty-aware controller software (b) Challenges of developing such controller software equipped with uncertain sensors.
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Credit: © National Institute of Informatics
A research team consisting of Tsutomu Kobayashi, Ichiro Hasuo, Fuyuki Ishikawa, and Shinya Katsumata at the National Institute of Informatics (NII, Japan) and Rick Salay and Krzysztof Czarnecki at University of Waterloo (Canada) developed a method that automatically transforms models of controller software into models that satisfy safety requirements even when there is uncertainty in sensing the state of the environment. In addition to the transformation, the method generates formulas that represent the degree of uncertainty that the controller software can tolerate. The method can be applied to various controller systems that interact with the external environment, including autonomous vehicles. ....

Ichiro Hasuo , Tsutomu Kobayashi , Fuyuki Ishikawa , Krzysztof Czarnecki , Shinya Katsumata , Science Information Network , Krzysztof Czarnecki At University Of Waterloo Canada , Exploratory Research For Advanced Technology , National Institute Of Informatics , Technology Agency , National Institute , Rick Salay , Japan Science , Methods Symposium , Robustifying Controller Specifications , Shin Ya Katsumata , Systems Design Project , Exploratory Research , Advanced Technology , க்ரிஸ்டாஃப் கிசார்னேக்கி , அறிவியல் தகவல் வலைப்பின்னல் , தேசிய நிறுவனம் ஆஃப் தகவல் , தேசிய நிறுவனம் , ஜப்பான் அறிவியல் , ஆய்வு ஆராய்ச்சி ,

Technique to automatically discover simulation configurations for behaviors hard to test


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IMAGE: The research team at National Institute of Informatics developed a technique to search automatically for simulation configurations that test various behaviors of automated driving systems. This research was conducted under.
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Credit: © National Institute of Informatics
The research team led by Fuyuki Ishikawa at the National Institute of Informatics (NII, Japan) developed a technique to search automatically for simulation configurations that test various behaviors of automated driving systems. This research was conducted under the ERATO-MMSD project ( 1) funded by the Japan Science and Technology Agency (JST, Japan). The proposed technique iterates trials on simulations using an optimization method called evolutionary computation so that it discovers simulation configurations that lead to specific features of driving behaviors such as high acceleration, deceleration, and steering operation. The outcome of this research was present ....

Paolo Arcaini , Kun Liu , Florian Hauer , Xiao Yi Zhang , Fuyuki Ishikawa , Shaukat Ali , Software Testing , International Conference On Software Testing , International Workshop On Search , National Institute Of Informatics , Technology Agency , Science Information Network , Research Method , Research Track Practical Experience , International Symposium On Software Reliability Engineering , Exploratory Research For Advanced Technology , National Institute , Japan Science , Systems Design Project , Exploratory Research , Advanced Technology , Alessandro Cal , Generating Avoidable Collision Scenarios , Testing Autonomous Driving Systems , Industrial Path Planner , Collision Avoidance ,