Cover Image

Practical Equivalence Testing and Its Application in Synthetic Pre-Crash Scenario Validation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Jian, Sander, Ulrich, Flannagan, Carol, Zhao, Minxiang, Bärgman, Jonas
Format:	Preprint
Published:	2025
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling Lead-vehicle Kinematics For Rear-end Crash Scenario Generation
by: Wu, Jian, et al.
Published: (2023)

Practical validation of synthetic pre-crash scenarios
by: Wu, Jian, et al.
Published: (2026)

Model-based generation of representative rear-end crash scenarios across the full severity range using pre-crash data
by: Wu, Jian, et al.
Published: (2024)

Strategic decision points in experiments: A predictive Bayesian optional stopping method
by: Yang, Xiaomi, et al.
Published: (2025)

Video material for 'Crowdsourcing as a Tool to Evaluate Perceived Safety and Comfort Zone Boundaries in Traffic: Assessing and Comparing Experimental Designs'
by: Jokhio, Sarang, et al.
Published: (2026)

Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems
by: Yang, Xiaomi, et al.
Published: (2025)

Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
by: Imberg, Henrik, et al.
Published: (2022)

CrashAgent: Crash Scenario Generation via Multi-modal Reasoning
by: Li, Miao, et al.
Published: (2025)

Analysis of the safety impact of off-road glances in car-following driving scenarios
by: Olleja, Pierluigi, et al.
Published: (2026)

Efficient Safety Testing of Autonomous Vehicles via Adaptive Search over Crash-Derived Scenarios
by: Zhou, Rui
Published: (2025)

Evaluation of automated driving system safety metrics with logged vehicle trajectory data
by: Yan, Xintao, et al.
Published: (2024)

RAVE Checklist: Recommendations for Overcoming Challenges in Retrospective Safety Studies of Automated Driving Systems
by: Scanlon, John M., et al.
Published: (2024)

RCG: Safety-Critical Scenario Generation for Robust Autonomous Driving via Real-World Crash Grounding
by: Stoler, Benjamin, et al.
Published: (2025)

ALOHA2 Robot Kitchen Application Scenario Reproduction Report
by: Wu, Haoyang, et al.
Published: (2025)

Benchmarks for Retrospective Automated Driving System Crash Rate Analysis Using Police-Reported Crash Data
by: Scanlon, John M., et al.
Published: (2023)

Preferential Bayesian Optimization with Crash Feedback
by: Menn, Johanna, et al.
Published: (2026)

Validation of Space Robotics in Underwater Environments via Disturbance Robustness Equivalency
by: Verhagen, Joris, et al.
Published: (2026)

Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
by: Wu, Cho-Ying, et al.
Published: (2020)

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment
by: Nie, Tong, et al.
Published: (2025)

Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes
by: Gosselin, Anthony, et al.
Published: (2025)

Characteristics Analysis of Autonomous Vehicle Pre-crash Scenarios
by: Li, Yixuan, et al.
Published: (2025)

Towards Interactive Autonomous Vehicle Testing: Vehicle-Under-Test-Centered Traffic Simulation
by: Liu, Yiru, et al.
Published: (2024)

Comparison of Waymo Rider-Only Crash Rates by Crash Type to Human Benchmarks at 56.7 Million Miles
by: Kusano, Kristofer D., et al.
Published: (2025)

A Driver-Vehicle Model for ADS Scenario-based Testing
by: Queiroz, Rodrigo, et al.
Published: (2022)

Crash-perching on vertical poles with a hugging-wing robot
by: Askari, Mohammad, et al.
Published: (2024)

VLM as Strategist: Adaptive Generation of Safety-critical Testing Scenarios via Guided Diffusion
by: Wu, Xinzheng, et al.
Published: (2025)

Autonomous Aerial Non-Destructive Testing: Ultrasound Inspection with a Commercial Quadrotor in an Unstructured Environment
by: Veenstra, Ruben, et al.
Published: (2026)

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

Robot Crash Course: Learning Soft and Stylized Falling
by: Strauch, Pascal, et al.
Published: (2025)

Chat2Scenario: Scenario Extraction From Dataset Through Utilization of Large Language Model
by: Zhao, Yongqi, et al.
Published: (2024)

On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles
by: Zhao, Xingyu, et al.
Published: (2025)

Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
by: Lu, Qiujing, et al.
Published: (2024)

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

RoadGen: Generating Road Scenarios for Autonomous Vehicle Testing
by: Yang, Fan, et al.
Published: (2024)

AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests
by: Yang, Yukuan, et al.
Published: (2025)

Force-Driven Validation for Collaborative Robotics in Automated Avionics Testing
by: Dardano, Pietro, et al.
Published: (2025)

Evaluation of Drivers' Interaction Ability at Social Scenarios: A Process-Based Framework
by: Liu, Jiaqi, et al.
Published: (2024)

Behavior Trees in Industrial Applications: A Case Study in Underground Explosive Charging
by: Hallen, Mattias, et al.
Published: (2024)

Comparison of Waymo Rider-Only Crash Data to Human Benchmarks at 7.1 Million Miles
by: Kusano, Kristofer D., et al.
Published: (2023)

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data
by: Deng, Shengliang, et al.
Published: (2025)