Cover Image

A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aslam, Iqra, Buragohain, Abhishek, Bamal, Daniel, Aniculaesei, Adina, Zhang, Meng, Rausch, Andreas
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Runtime Safety Assurance of Autonomous Vehicles used for Last-mile Delivery in Urban Environments
by: Aslam, Iqra, et al.
Published: (2023)

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

Towards Selection and Transition Between Behavior-Based Neural Networks for Automated Driving
by: Aslam, Iqra, et al.
Published: (2024)

Towards LLM-Assisted Architecture Recovery for Real-World ROS~2 Systems: An Agent-Based Multi-Level Approach to Hierarchical Structural Architecture Reconstruction
by: Briechle, Dominique, et al.
Published: (2026)

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

On-Demand Scenario Generation for Testing Automated Driving Systems
by: Yan, Songyang, et al.
Published: (2025)

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

Automated System-level Testing of Unmanned Aerial Systems
by: Sartaj, Hassan, et al.
Published: (2024)

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)

Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems
by: Vater, Lennart, et al.
Published: (2024)

Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems
by: Tian, Haoxiang, et al.
Published: (2025)

Describing Agentic AI Systems with C4: Lessons from Industry Projects
by: Rausch, Andreas, et al.
Published: (2026)

LMV-RPA: Large Model Voting-based Robotic Process Automation
by: Abdellatif, Osama, et al.
Published: (2024)

Modeling Resilience of Collaborative AI Systems
by: Rimawi, Diaeddin, et al.
Published: (2024)

AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software
by: Tanaka, Satoshi, et al.
Published: (2025)

Connected Dependability Cage: Run-Time Function and Anomaly Monitoring for the Development and Operation of Safe Automated Vehicles
by: Aslam, Iqra, et al.
Published: (2026)

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

VSRQ: Quantitative Assessment Method for Safety Risk of Vehicle Intelligent Connected System
by: Zhang, Tian, et al.
Published: (2023)

aerial-autonomy-stack -- a Faster-than-real-time, Autopilot-agnostic, ROS2 Framework to Simulate and Deploy Perception-based Drones
by: Panerati, Jacopo, et al.
Published: (2026)

Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems
by: Cheng, Mingfei, et al.
Published: (2024)

KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning
by: Yang, Zebin, et al.
Published: (2026)

When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We?
by: Guo, An, et al.
Published: (2025)

AI-Augmented Metamorphic Testing for Comprehensive Validation of Autonomous Vehicles
by: Zhang, Tony, et al.
Published: (2025)

STADA: Specification-based Testing for Autonomous Driving Agents
by: Saha, Joy, 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)

A Multi-Modality Evaluation of the Reality Gap in Autonomous Driving Systems
by: Lambertenghi, Stefano Carlo, et al.
Published: (2025)

A Comprehensive Study of Bug-Fix Patterns in Autonomous Driving Systems
by: Chen, Yuntianyi, et al.
Published: (2025)

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

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
by: Isaku, Erblin, et al.
Published: (2025)

ROSBag MCP Server: Analyzing Robot Data with LLMs for Agentic Embodied AI Applications
by: Fu, Lei, et al.
Published: (2025)

Modeling and Simulation of a Multi Robot System Architecture
by: Sadik, Ahmed R., et al.
Published: (2024)

Multi-Robot System Architecture design in SysML and BPMN
by: Sadik, Ahmed R., et al.
Published: (2024)

Risk Structures: Towards Engineering Risk-aware Autonomous Systems
by: Gleirscher, Mario
Published: (2019)

GAMMS: Graph based Adversarial Multiagent Modeling Simulator
by: Patil, Rohan, et al.
Published: (2026)

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

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

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

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

The DevSafeOps Dilemma: A Systematic Literature Review on Rapidity in Safe Autonomous Driving Development and Operation
by: Nouri, Ali, et al.
Published: (2025)