CapCo: Automating Carla-Apollo Co-Simulation and Scenario Fuzzing
CapCo automates Apollo-CARLA co-simulation and scenario fuzzing for scalable, reproducible automated driving system testing.
Publications
A collection of publication records with venues, abstracts, tags, and links.
CapCo automates Apollo-CARLA co-simulation and scenario fuzzing for scalable, reproducible automated driving system testing.
ConFixer repairs automated driving system configuration bugs using STL robustness signals and closed-loop automated validation to prevent regression errors.
The paper uses causal contrastive augmentation to reduce causal confusion in imitation-based autonomous driving planning.
OSG generates automated driving system test scenarios with controllable risk levels while preserving naturalness and diversity.
The paper generates realistic adversarial safety-critical driving scenarios using naturalistic human-driving priors.
LitSim preserves log-replay realism while resolving conflicts for long-horizon interactive traffic simulation.
SDG provides a software-in-the-loop simulation platform with scenario description and driving-behavior verification for automated driving system development.
AdaFrenetic was an SBST 2022 tool-competition entry that reduces invalid automated driving test cases by adapting road points.