Cover Image

Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Amini, Mohammad Hossein, Nejati, Shiva
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Effort-Optimized, Accuracy-Driven Labelling and Validation of Test Inputs for DL Systems: A Mixed-Integer Linear Programming Approach
by: Amini, Mohammad Hossein, et al.
Published: (2025)

Can Search-Based Testing with Pareto Optimization Effectively Cover Failure-Revealing Test Inputs?
by: Sorokin, Lev, et al.
Published: (2024)

Test Input Validation for Vision-based DL Systems: An Active Learning Approach
by: Ghobari, Delaram, et al.
Published: (2025)

Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach
by: McIntyre-Garcia, Cristopher, et al.
Published: (2024)

Generative AI for Testing of Autonomous Driving Systems: A Survey
by: Song, Qunying, et al.
Published: (2025)

Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving Systems
by: Mohammad, Faisal, et al.
Published: (2025)

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

Boundary State Generation for Testing and Improvement of Autonomous Driving Systems
by: Biagiola, Matteo, et al.
Published: (2023)

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

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training
by: Saxena, Shreya, et al.
Published: (2025)

Simulator Ensembles for Trustworthy Autonomous Driving Testing
by: Sorokin, Lev, et al.
Published: (2025)

CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation
by: Du, Kounianhua, et al.
Published: (2024)

The Rise of Agentic Testing: Multi-Agent Systems for Robust Software Quality Assurance
by: Naqvi, Saba, et al.
Published: (2026)

Understanding and Bridging the Planner-Coder Gap: A Systematic Study on the Robustness of Multi-Agent Systems for Code Generation
by: Lyu, Zongyi, et al.
Published: (2025)

Generating Critical Scenarios for Testing Automated Driving Systems
by: Nguyen, Trung-Hieu, et al.
Published: (2024)

Automated Test Validators for Flaky Cyber-Physical System Simulators: Approach and Evaluation
by: Jodat, Baharin A., et al.
Published: (2025)

Cognitive Platform Engineering for Autonomous Cloud Operations
by: Punniyamoorthy, Vinoth, et al.
Published: (2026)

Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
by: Giamattei, Luca, et al.
Published: (2024)

Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test
by: Cai, Xuan, et al.
Published: (2025)

Simulink Mutation Testing using CodeBERT
by: Zhang, Jingfan, et al.
Published: (2025)

The Future of Software Testing: AI-Powered Test Case Generation and Validation
by: Baqar, Mohammad, et al.
Published: (2024)

On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software
by: Nouri, Ali, et al.
Published: (2025)

SolidCoder: Bridging the Mental-Reality Gap in LLM Code Generation through Concrete Execution
by: Lee, Woojin, et al.
Published: (2026)

A Lean Simulation Framework for Stress Testing IoT Cloud Systems
by: Li, Jia, et al.
Published: (2024)

Verification and Validation of Autonomous Systems
by: Shetiya, Sneha Sudhir, et al.
Published: (2024)

Project Prometheus: Bridging the Intent Gap in Agentic Program Repair via Reverse-Engineered Executable Specifications
by: Wang, Yongchao, et al.
Published: (2026)

Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools
by: Son, Ha Min, et al.
Published: (2025)

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents
by: Shen, Haiyang, et al.
Published: (2024)

ComBench: A Repo-level Real-world Benchmark for Compilation Error Repair
by: Li, Jia, et al.
Published: (2026)

Quantifying the Expectation-Realisation Gap for Agentic AI Systems
by: Lobentanzer, Sebastian
Published: (2026)

Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems
by: Li, Xinyue, et al.
Published: (2023)

Breaking Barriers in Software Testing: The Power of AI-Driven Automation
by: Naqvi, Saba, et al.
Published: (2025)

AI-Augmented CI/CD Pipelines: From Code Commit to Production with Autonomous Decisions
by: Baqar, Mohammad, et al.
Published: (2025)

FVSpec: Real-World Property-Based Tests as Lean Challenges
by: Dougherty, Quinn, et al.
Published: (2026)

Fuzzy Inference System for Test Case Prioritization in Software Testing
by: Karatayev, Aron, et al.
Published: (2024)

Requirements-driven Slicing of Simulink Models Using LLMs
by: Luitel, Dipeeka, et al.
Published: (2024)

Genetic Programming for Self-Adaptive Auto-Scaling of Microservices
by: Li, Jia, et al.
Published: (2026)

CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval
by: Geng, Jiahui, et al.
Published: (2026)

QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems
by: Shi, Jinjing, et al.
Published: (2024)

Refactoring with LLMs: Bridging Human Expertise and Machine Understanding
by: Piao, Yonnel Chen Kuang, et al.
Published: (2025)