TY - GEN
T1 - Frenetic at the SBST 2021 Tool Competition
AU - Castellano, Ezequiel
AU - Cetinkaya, Ahmet
AU - Thanh, Cedric Ho
AU - Klikovits, Stefan
AU - Zhang, Xiaoyi
AU - Arcaini, Paolo
N1 - Funding Information:
Fig. 1. Planar curve γ, Frenet frame (e1(s),e2(s)), and orientation θ as the integral of curvature κ given for standard Euclidean coordinates The authors are supported by ERATO HASUO Metamathematics for Systems Design Project (No. JPMJER1603), JST. S. Klikovits is also supported by Grant-in-Aid for Research Activity Start-up 20K23334, JSPS. 1Our code is available at github.com/ERATOMMSD/frenetic-sbst21
Publisher Copyright:
© 2021 IEEE.
PY - 2021/5
Y1 - 2021/5
N2 - 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.
AB - 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.
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U2 - 10.1109/SBST52555.2021.00016
DO - 10.1109/SBST52555.2021.00016
M3 - Conference contribution
AN - SCOPUS:85111127135
T3 - Proceedings - 2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing, SBST 2021
SP - 36
EP - 37
BT - Proceedings - 2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing, SBST 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE/ACM International Workshop on Search-Based Software Testing, SBST 2021
Y2 - 22 May 2021 through 30 May 2021
ER -