Cover Image

Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cheng, Mingfei, Zhou, Yuan, Xie, Xiaofei, Wang, Junjie, Meng, Guozhu, Yang, Kairui
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Neural and Evolutionary Computing Robotics Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems
by: Yousefizadeh, Hossein, et al.
Published: (2024)

STCLocker: Deadlock Avoidance Testing for Autonomous Driving Systems
by: Cheng, Mingfei, et al.
Published: (2025)

Guiding the Search Towards Failure-Inducing Test Inputs Using Support Vector Machines
by: Sorokin, Lev, et al.
Published: (2024)

Modelling Open-Source Software Reliability Incorporating Swarm Intelligence-Based Techniques
by: Shatnawi, Omar
Published: (2024)

Unlocking the Secrets of Software Configuration Landscapes-Ruggedness, Accessibility, Escapability, and Transferability
by: Huang, Mingyu, et al.
Published: (2022)

Many-Objective Neuroevolution for Testing Games
by: Feldmeier, Patric, et al.
Published: (2025)

Socialz: Multi-Feature Social Fuzz Testing
by: Zanartu, Francisco, et al.
Published: (2023)

Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models
by: Hyun, Sangwon, et al.
Published: (2025)

DriveTester: A Unified Platform for Simulation-Based Autonomous Driving Testing
by: Cheng, Mingfei, et al.
Published: (2024)

Fully Autonomous Programming using Iterative Multi-Agent Debugging with Large Language Models
by: Grishina, Anastasiia, et al.
Published: (2025)

LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI
by: van Stein, Niki, et al.
Published: (2026)

Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment
by: Da Ros, Francesca, et al.
Published: (2026)

Path Analysis for Effective Fault Localization in Deep Neural Networks
by: Hashemifar, Soroush, et al.
Published: (2023)

Generational Computation Reduction in Informal Counterexample-Driven Genetic Programming
by: Helmuth, Thomas, et al.
Published: (2024)

Combining Neuroevolution with the Search for Novelty to Improve the Generation of Test Inputs for Games
by: Feldmeier, Patric, et al.
Published: (2024)

Automated Prompt Engineering for Cost-Effective Code Generation Using Evolutionary Algorithm
by: Taherkhani, Hamed, et al.
Published: (2024)

On Accelerating Deep Neural Network Mutation Analysis by Neuron and Mutant Clustering
by: Lyons, Lauren, et al.
Published: (2025)

REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models
by: Min, Kyungjun, et al.
Published: (2025)

BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
by: van Stein, Niki, et al.
Published: (2025)

A Brain-Inspired Perception-Decision Driving Model Based on Neural Pathway Anatomical Alignment
by: Wang, Haidong, et al.
Published: (2025)

MoDitector: Module-Directed Testing for Autonomous Driving Systems
by: Wang, Renzhi, et al.
Published: (2025)

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing
by: Humeniuk, Dmytro, et al.
Published: (2023)

Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems
by: Humeniuk, Dmytro, et al.
Published: (2025)

Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation
by: Gheibi, Omid, et al.
Published: (2022)

From Brain Models to Executable Digital Twins: Execution Semantics and Neuro-Neuromorphic Systems
by: Muzy, Alexandre
Published: (2026)

Nauplius Optimisation for Autonomous Hydrodynamics
by: Ramesh, Shyalan, et al.
Published: (2025)

Detecting Non-Optimal Decisions of Embodied Agents via Diversity-Guided Metamorphic Testing
by: Wu, Wenzhao, et al.
Published: (2025)

Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control
by: Delavari, Elahe, et al.
Published: (2024)

In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators
by: Humeniuk, Dmytro, et al.
Published: (2024)

Moral Testing of Autonomous Driving Systems
by: Tang, Wenbing, et al.
Published: (2025)

ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy
by: Boraud, Virgile, et al.
Published: (2025)

Enhancing Analogy-Based Software Effort Estimation with Firefly Algorithm Optimization
by: Chintada, Tarun, et al.
Published: (2025)

Pixel Normalization from Numeric Data as Input to Neural Networks
by: Sane, Parth, et al.
Published: (2017)

Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments
by: Liu, Jing, et al.
Published: (2023)

Learning from Evolution: Improving Collective Decision-Making Mechanisms using Insights from Evolutionary Robotics
by: Kaiser, Tanja Katharina
Published: (2024)

ADReFT: Adaptive Decision Repair for Safe Autonomous Driving via Reinforcement Fine-Tuning
by: Cheng, Mingfei, et al.
Published: (2025)

Modular Creation of Neuronal Networks for Autonomous Robot Control
by: Laura Lanzarini
Published: (2007)

Embodied Neuromorphic Control Applied on a 7-DOF Robotic Manipulator
by: Wang, Ziqi, et al.
Published: (2025)

Co-design is powerful and not free
by: Zhang, Yi, et al.
Published: (2025)

SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems
by: Yang, Huiwen, et al.
Published: (2024)