Abstract:The correctness of autonomous driving software is of utmost importance, as incorrect behavior may have catastrophic consequences. Formal model-based engineering techniques can help guarantee correctness and thereby allow the safe deployment of autonomous vehicles. However, challenges exist for widespread industrial adoption of formal methods. One of these challenges is the model construction problem. Manual construction of formal models is time-consuming, error-prone, and intractable for large systems. Automat… Show more
“…In 'Automatically Learning Formal Models from Autonomous Driving Software' [10], Selvaraj et al shared their Autonomous Driving expertise and applied active learning techniques to obtain formal models of an existing (though still in development) autonomous driving software module implemented in MATLAB. This demonstrates the feasibility of automated learning for automotive industrial use.…”
The global market for autonomous robotics platforms has grown rapidly due to the advent of drones, mobile robots, and driverless cars, while the mass media coverage examining the progress of robotics and autonomous systems field is widespread [...]
“…In 'Automatically Learning Formal Models from Autonomous Driving Software' [10], Selvaraj et al shared their Autonomous Driving expertise and applied active learning techniques to obtain formal models of an existing (though still in development) autonomous driving software module implemented in MATLAB. This demonstrates the feasibility of automated learning for automotive industrial use.…”
The global market for autonomous robotics platforms has grown rapidly due to the advent of drones, mobile robots, and driverless cars, while the mass media coverage examining the progress of robotics and autonomous systems field is widespread [...]
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