Cover Image

Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Ivan, Minn, Wei, Poskitt, Christopher M., Shar, Lwin Khin, Jiang, Lingxiao
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CovAgent: Overcoming the 30% Curse of Mobile Application Coverage with Agentic AI and Dynamic Instrumentation
by: Minn, Wei, et al.
Published: (2026)

Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework
by: Hu, Han, et al.
Published: (2025)

Fixing Your Own Smells: Adding a Mistake-Based Familiarisation Step When Teaching Code Refactoring
by: Tan, Ivan, et al.
Published: (2024)

Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software
by: Cheng, Yiran, et al.
Published: (2025)

REDriver: Runtime Enforcement for Autonomous Vehicles
by: Sun, Yang, et al.
Published: (2024)

VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps
by: Demissie, Biniam Fisseha, et al.
Published: (2025)

LIDL: LLM Integration Defect Localization via Knowledge Graph-Enhanced Multi-Agent Analysis
by: Tan, Gou, et al.
Published: (2026)

ProbGuard: Probabilistic Runtime Monitoring for LLM Agent Safety
by: Wang, Haoyu, et al.
Published: (2025)

Virtualization-based Penetration Testing Study for Detecting Accessibility Abuse Vulnerabilities in Banking Apps in East and Southeast Asia
by: Minn, Wei, et al.
Published: (2026)

A Step-by-Step Guide to Creating a Robust Autonomous Drone Testing Pipeline
by: Jiang, Yupeng, et al.
Published: (2025)

Runtime Verification and Field-based Testing for ROS-based Robotic Systems
by: Caldas, Ricardo, et al.
Published: (2024)

Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents
by: Widyasari, Ratnadira, et al.
Published: (2025)

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection
by: Zhang, Ting, et al.
Published: (2025)

Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead
by: Cheng, Yiran, et al.
Published: (2025)

DroneWiS: Automated Simulation Testing of small Unmanned Aerial Systems in Realistic Windy Conditions
by: Zhang, Bohan, et al.
Published: (2024)

PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing
by: Huang, Huihui, et al.
Published: (2026)

Understanding Misconfigurations in ROS: An Empirical Study and Current Approaches
by: Canelas, Paulo, et al.
Published: (2024)

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones
by: Bui, Tan, et al.
Published: (2025)

LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering
by: Zhang, Shenglin, et al.
Published: (2025)

Reinforcement Learning for Testing Interdependent Requirements in Autonomous Vehicles: An Empirical Study
by: Wu, Jiahui, et al.
Published: (2025)

Mining Action Rules for Defect Reduction Planning
by: Oueslati, Khouloud, et al.
Published: (2024)

Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving
by: Li, Yueyuan, et al.
Published: (2023)

Bot-Driven Development: From Simple Automation to Autonomous Software Development Bots
by: Treude, Christoph, et al.
Published: (2024)

ROSMonitoring 2.0: Extending ROS Runtime Verification to Services and Ordered Topics
by: Saadat, Maryam Ghaffari, et al.
Published: (2024)

VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM
by: Cheng, Yiran, et al.
Published: (2024)

A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System
by: Aslam, Iqra, et al.
Published: (2024)

MARL-OT: Multi-Agent Reinforcement Learning Guided Online Fuzzing to Detect Safety Violation in Autonomous Driving Systems
by: Liang, Linfeng, et al.
Published: (2025)

A Unified Experimental Architecture for Informative Path Planning: from Simulation to Deployment with GuadalPlanner
by: Barrionuevo, Alejandro Mendoza, et al.
Published: (2026)

Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
by: Grewal, Ruben, et al.
Published: (2024)

Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval
by: Huang, Huihui, et al.
Published: (2025)

ASTD Patterns for Integrated Continuous Anomaly Detection In Data Logs
by: Jabri, Chaymae El, et al.
Published: (2024)

An Execution-Verified Multi-Language Benchmark for Code Semantic Reasoning
by: Li, Yikun, et al.
Published: (2026)

Beyond the Tip of the Iceberg: Understanding SATD in Dockerfiles through the Lens of Co-evolution
by: Minn, Wei, et al.
Published: (2026)

Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels
by: Isaku, Erblin, et al.
Published: (2025)

Integration of an Agent Model into an Open Simulation Architecture for Scenario-Based Testing of Automated Vehicles
by: Geller, Christian, et al.
Published: (2026)

Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection
by: Li, Yikun, et al.
Published: (2026)

Approaching Current Challenges in Developing a Software Stack for Fully Autonomous Driving
by: Sagmeister, Simon, et al.
Published: (2025)

Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI
by: Treude, Christoph, et al.
Published: (2026)

How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters
by: Steidl, Monika, et al.
Published: (2024)

From Conflicts to Collisions: A Two-Stage Collision Scenario-Testing Approach for Autonomous Driving Systems
by: Chen, Siyuan, et al.
Published: (2026)