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- W3185223681 abstract "Frenetic is a genetic approach that leverages a curvature-based road representation. Given an autonomous driving agent, the goal of Frenetic is to generate roads where the agent fails to stay within its lane. In other words, Frenetic tries to minimize the “out of bound distance”, which is the distance between the car and either edge of the lane if the car is within the lane, and proceeds to negative values once the car drives off. This work resembles classic aspects of genetic algorithms such as mutations and crossover, but introduces some nuances aiming at improving diversity of the generated roads." @default.
- W3185223681 created "2021-08-02" @default.
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- W3185223681 date "2021-05-01" @default.
- W3185223681 modified "2023-09-24" @default.
- W3185223681 title "Frenetic at the SBST 2021 Tool Competition" @default.
- W3185223681 cites W3037111391 @default.
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- W3185223681 doi "https://doi.org/10.1109/sbst52555.2021.00016" @default.
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