Preliminary Evaluation of Path-aware Crossover Operators for Search-Based Test Data Generation for Autonomous Driving
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Han:2021:SBST,
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author = "Seunghee Han and Jaeuk Kim and Geon Kim and
Jaemin Cho and Jiin Kim and Shin Yoo",
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title = "Preliminary Evaluation of Path-aware Crossover
Operators for Search-Based Test Data Generation for
Autonomous Driving",
-
booktitle = "2021 IEEE/ACM 14th International Workshop on
Search-Based Software Testing (SBST)",
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year = "2021",
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editor = "Jie M Zhang and Erik Fredericks",
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address = "internet",
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month = "31 " # may,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, SBSE, PCG,
Simulink, Autonomous Driving, Test Data Generation,
index error, OBE, AsFault, Search Based Software
Engineering, Procedural Content Generation",
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isbn13 = "978-1-6654-4571-9/21",
-
URL = "https://coinse.kaist.ac.kr/publications/pdfs/Han2021vp.pdf",
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video_url = "https://youtu.be/m0jTmJPa7ts",
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DOI = "doi:10.1109/SBST52555.2021.00020",
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size = "4 pages",
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abstract = "As autonomous driving gains attraction, testing of
autonomous vehicles has become an important issue.
However,testing in the real world is not only dangerous
but also expensive.Consequently, a virtual test method
has emerged as an alternative. Recently, a novel
testing technique based on Procedural Content
Generation (PCG) and Genetic Algorithm (GA), As Fault,
has been proposed to test the lane keeping
functionality of autonomous vehicles. This paper
proposes new crossover operators for As fault that can
better preserve the coupling between genotype
(representations of road segments) and phenotype
(occurrences of interesting self driving behaviour). We
explain our design intentions and present a preliminary
evaluation of the proposed operators using the Simulink
autonomous driving simulator. We report promising early
results: the proposed operators can lead not only to
Out of Bound Episodes but also causes more vision
errors in the simulation when compared to the
original",
-
notes = "is this GP?
KAIST, Daejeon, Republic of
Korea
https://sbst21.github.io/program/",
- }
Genetic Programming entries for
Seunghee Han
Jaeuk Kim
Geon Kim
Jaemin Cho
JiIn Kim
Shin Yoo
Citations