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Tesla recall, robotaxi crash cause self-driving car crisis
A San Francisco robotaxi called Panini dragged a woman for 20 feet. Are self-driving cars toast?
San francisco
United states
Los angeles county
New york
San diego
Ken vogt
Mary barra
Jonathan hill
Los angeles
Oliver cameron
Kyle vogt
Elaine herzberg
Katherine barna
Krzysztof czarnecki
Jason stein
Google waymo
Transformation of controller software to ensure safe behavior under perceptual uncertainty
E-Mail IMAGE: Figure 1. (a) Example of safe uncertainty-aware controller software (b) Challenges of developing such controller software equipped with uncertain sensors. view more 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
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