Buchumschlag

Coverage Metrics for a Scenario Database for the Scenario-Based Assessment of Automated Driving Systems

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	de Gelder, Erwin, Buermann, Maren, Camp, Olaf Op den
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Robotics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Operationalization of Scenario-Based Safety Assessment of Automated Driving Systems
von: Camp, Olaf Op den, et al.
Veröffentlicht: (2025)

Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems
von: de Gelder, Erwin, et al.
Veröffentlicht: (2025)

Scenario-based assessment of automated driving systems: How (not) to parameterize scenarios?
von: de Gelder, Erwin, et al.
Veröffentlicht: (2024)

Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
von: de Gelder, Erwin, et al.
Veröffentlicht: (2022)

Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles
von: de Gelder, Erwin, et al.
Veröffentlicht: (2021)

Scenario Extraction from a Large Real-World Dataset for the Assessment of Automated Vehicles
von: Guo, Detian, et al.
Veröffentlicht: (2023)

On Scenario Formalisms for Automated Driving
von: Neurohr, Christian, et al.
Veröffentlicht: (2025)

Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Framework
von: de Gelder, E., et al.
Veröffentlicht: (2020)

What Did I Learn? Operational Competence Assessment for AI-Based Trajectory Planners
von: Braat, Michiel, et al.
Veröffentlicht: (2025)

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

SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving
von: Yildiz, Anil, et al.
Veröffentlicht: (2025)

Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations
von: Neis, Nicole, et al.
Veröffentlicht: (2024)

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

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

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
von: Abdelhamid, M. Youssef, et al.
Veröffentlicht: (2025)

LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization
von: Wu, Xinzheng, et al.
Veröffentlicht: (2024)

Cooperative Automated Driving for Bottleneck Scenarios in Mixed Traffic
von: Baumann, M. V., et al.
Veröffentlicht: (2024)

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
von: Gao, Yuan, et al.
Veröffentlicht: (2025)

LLM-Driven Scenario-Aware Planning for Autonomous Driving
von: Li, He, et al.
Veröffentlicht: (2026)

Quantitative Representation of Scenario Difficulty for Autonomous Driving Based on Adversarial Policy Search
von: Yang, Shuo, et al.
Veröffentlicht: (2024)

Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications
von: Chang, Cheng, et al.
Veröffentlicht: (2025)

Surprise Potential as a Measure of Interactivity in Driving Scenarios
von: Ding, Wenhao, et al.
Veröffentlicht: (2025)

Unsupervised Learning for Detection of Rare Driving Scenarios
von: Le, Dat, et al.
Veröffentlicht: (2025)

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
von: Brunnbauer, Axel, et al.
Veröffentlicht: (2024)

Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity
von: Li, Shu, et al.
Veröffentlicht: (2024)

Benchmarking Classical Coverage Path Planning Heuristics on Irregular Hexagonal Grids for Maritime Coverage Scenarios
von: Sepúlveda, Carlos S., et al.
Veröffentlicht: (2026)

Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions
von: Rahmani, Saeed, et al.
Veröffentlicht: (2024)

Trajectory Planning for Autonomous Driving in Unstructured Scenarios Based on Graph Neural Network and Numerical Optimization
von: Zhang, Sumin, et al.
Veröffentlicht: (2024)

Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios
von: Moller, Korbinian, et al.
Veröffentlicht: (2025)

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
von: Li, Jingzheng, et al.
Veröffentlicht: (2025)

Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios
von: Sabry, Mohamed, et al.
Veröffentlicht: (2024)

Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
von: Abeysirigoonawardena, Yasasa, et al.
Veröffentlicht: (2023)

Real-world Troublemaker: A 5G Cloud-controlled Track Testing Framework for Automated Driving Systems in Safety-critical Interaction Scenarios
von: Zhang, Xinrui, et al.
Veröffentlicht: (2025)

Enhancing Autonomous Driving Safety with Collision Scenario Integration
von: Wang, Zi, et al.
Veröffentlicht: (2025)

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

Towards Full-Scenario Safety Evaluation of Automated Vehicles: A Volume-Based Method
von: Zhou, Hang, et al.
Veröffentlicht: (2025)

Safety Metric Aware Trajectory Repairing for Automated Driving
von: Tong, Kailin, et al.
Veröffentlicht: (2024)

Test Automation for Interactive Scenarios via Promptable Traffic Simulation
von: Mondelli, Augusto, et al.
Veröffentlicht: (2025)

An Uncertainty-Weighted Decision Transformer for Navigation in Dense, Complex Driving Scenarios
von: Zhang, Zhihao, et al.
Veröffentlicht: (2025)

DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
von: Sun, Shuo, et al.
Veröffentlicht: (2023)