Saved in:
| Main Authors: | Zhao, Yongqi, Xiao, Wenbo, Mihalj, Tomislav, Hu, Jia, Eichberger, Arno |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.16147 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems
by: Zhao, Yongqi, et al.
Published: (2025)
by: Zhao, Yongqi, et al.
Published: (2025)
Toward a Full-Stack Co-Simulation Platform for Testing of Automated Driving Systems
by: Bi, Dong, et al.
Published: (2025)
by: Bi, Dong, et al.
Published: (2025)
A Comparative Evaluation of Large Vision-Language Models for 2D Object Detection under SOTIF Conditions
by: Zhou, Ji, et al.
Published: (2026)
by: Zhou, Ji, et al.
Published: (2026)
A Communication-Latency-Aware Co-Simulation Platform for Safety and Comfort Evaluation of Cloud-Controlled ICVs
by: Zhao, Yongqi, et al.
Published: (2025)
by: Zhao, Yongqi, et al.
Published: (2025)
Can AI Generate more Comprehensive Test Scenarios? Review on Automated Driving Systems Test Scenario Generation Methods
by: Zhou, Ji, et al.
Published: (2025)
by: Zhou, Ji, et al.
Published: (2025)
Scenario Extraction from a Large Real-World Dataset for the Assessment of Automated Vehicles
by: Guo, Detian, et al.
Published: (2023)
by: Guo, Detian, et al.
Published: (2023)
Human-Machine Shared Control Approach for the Takeover of CACC
by: Wang, Haoran, et al.
Published: (2024)
by: Wang, Haoran, et al.
Published: (2024)
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
by: Lu, Qiujing, et al.
Published: (2024)
by: Lu, Qiujing, et al.
Published: (2024)
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
by: de Gelder, Erwin, et al.
Published: (2022)
by: de Gelder, Erwin, et al.
Published: (2022)
Heterogeneous LiDAR Dataset for Benchmarking Robust Localization in Diverse Degenerate Scenarios
by: Chen, Zhiqiang, et al.
Published: (2024)
by: Chen, Zhiqiang, et al.
Published: (2024)
ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation
by: Gao, Lili, et al.
Published: (2026)
by: Gao, Lili, et al.
Published: (2026)
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
by: Gao, Yuan, et al.
Published: (2025)
by: Gao, Yuan, et al.
Published: (2025)
Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios
by: Sabry, Mohamed, et al.
Published: (2024)
by: Sabry, Mohamed, et al.
Published: (2024)
Generative Modeling for Adversarial Lane-Change Scenarios
by: Zhang, Chuancheng, et al.
Published: (2025)
by: Zhang, Chuancheng, et al.
Published: (2025)
LLM-RG: Referential Grounding in Outdoor Scenarios using Large Language Models
by: Saxena, Pranav, et al.
Published: (2025)
by: Saxena, Pranav, et al.
Published: (2025)
Trajectory-to-Action Pipeline (TAP): Automated Scenario Description Extraction for Autonomous Vehicle Behavior Comparison
by: Harder, Aron, et al.
Published: (2025)
by: Harder, Aron, et al.
Published: (2025)
Coverage Metrics for a Scenario Database for the Scenario-Based Assessment of Automated Driving Systems
by: de Gelder, Erwin, et al.
Published: (2024)
by: de Gelder, Erwin, et al.
Published: (2024)
SG-CADVLM: A Context-Aware Decoding Powered Vision Language Model for Safety-Critical Scenario Generation
by: Zhao, Hongyi, et al.
Published: (2026)
by: Zhao, Hongyi, et al.
Published: (2026)
Tracking Meets Large Multimodal Models for Driving Scenario Understanding
by: Ishaq, Ayesha, et al.
Published: (2025)
by: Ishaq, Ayesha, et al.
Published: (2025)
On Scenario Formalisms for Automated Driving
by: Neurohr, Christian, et al.
Published: (2025)
by: Neurohr, Christian, et al.
Published: (2025)
SteerVLA: Steering Vision-Language-Action Models in Long-Tail Driving Scenarios
by: Gao, Tian, et al.
Published: (2026)
by: Gao, Tian, et al.
Published: (2026)
DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding
by: Ishaq, Ayesha, et al.
Published: (2025)
by: Ishaq, Ayesha, et al.
Published: (2025)
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
by: Mei, Yuewen, et al.
Published: (2025)
by: Mei, Yuewen, et al.
Published: (2025)
From Real-World Traffic Data to Relevant Critical Scenarios
by: Lüttner, Florian, et al.
Published: (2025)
by: Lüttner, Florian, et al.
Published: (2025)
DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
by: Zhang, Shenyu, et al.
Published: (2025)
by: Zhang, Shenyu, et al.
Published: (2025)
Topology-Driven Trajectory Optimization for Modelling Controllable Interactions Within Multi-Vehicle Scenario
by: Ma, Changjia, et al.
Published: (2025)
by: Ma, Changjia, et al.
Published: (2025)
Model Comparison for Fast Domain Adaptation in Table Service Scenario
by: Yun, Woo-han, et al.
Published: (2024)
by: Yun, Woo-han, et al.
Published: (2024)
A Driver-Vehicle Model for ADS Scenario-based Testing
by: Queiroz, Rodrigo, et al.
Published: (2022)
by: Queiroz, Rodrigo, et al.
Published: (2022)
Traffic Scenario Orchestration from Language via Constraint Satisfaction
by: Rong, Frieda, et al.
Published: (2026)
by: Rong, Frieda, et al.
Published: (2026)
S2MAT: Simultaneous and Self‐Reinforced Mapping and Tracking in Dynamic Urban Scenarios
by: Tingxiang Fan, et al.
Published: (2025)
by: Tingxiang Fan, et al.
Published: (2025)
Momentum-constrained Hybrid Heuristic Trajectory Optimization Framework with Residual-enhanced DRL for Visually Impaired Scenarios
by: Zeng, Yuting, et al.
Published: (2026)
by: Zeng, Yuting, et al.
Published: (2026)
Evaluation of Drivers' Interaction Ability at Social Scenarios: A Process-Based Framework
by: Liu, Jiaqi, et al.
Published: (2024)
by: Liu, Jiaqi, et al.
Published: (2024)
ALOHA2 Robot Kitchen Application Scenario Reproduction Report
by: Wu, Haoyang, et al.
Published: (2025)
by: Wu, Haoyang, et al.
Published: (2025)
A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving
by: Sohn, Tin Stribor, et al.
Published: (2025)
by: Sohn, Tin Stribor, et al.
Published: (2025)
LongTail Driving Scenarios with Reasoning Traces: The KITScenes LongTail Dataset
by: Wagner, Royden, et al.
Published: (2026)
by: Wagner, Royden, et al.
Published: (2026)
PANOS: Payload-Aware Navigation in Offroad Scenarios
by: Singh, Kartikeya, et al.
Published: (2024)
by: Singh, Kartikeya, et al.
Published: (2024)
Characterizing the Complexity of Social Robot Navigation Scenarios
by: Stratton, Andrew, et al.
Published: (2024)
by: Stratton, Andrew, et al.
Published: (2024)
Scene-Extrapolation: Generating Interactive Traffic Scenarios
by: Zipfl, Maximilian, et al.
Published: (2024)
by: Zipfl, Maximilian, et al.
Published: (2024)
Scenario Generation in Roundabouts with Adjustable Interaction Intensity
by: Li, Li, et al.
Published: (2026)
by: Li, Li, et al.
Published: (2026)
Adaptive Tracking and Perching for Quadrotor in Dynamic Scenarios
by: Gao, Yuman, et al.
Published: (2023)
by: Gao, Yuman, et al.
Published: (2023)
Similar Items
-
A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems
by: Zhao, Yongqi, et al.
Published: (2025) -
Toward a Full-Stack Co-Simulation Platform for Testing of Automated Driving Systems
by: Bi, Dong, et al.
Published: (2025) -
A Comparative Evaluation of Large Vision-Language Models for 2D Object Detection under SOTIF Conditions
by: Zhou, Ji, et al.
Published: (2026) -
A Communication-Latency-Aware Co-Simulation Platform for Safety and Comfort Evaluation of Cloud-Controlled ICVs
by: Zhao, Yongqi, et al.
Published: (2025) -
Can AI Generate more Comprehensive Test Scenarios? Review on Automated Driving Systems Test Scenario Generation Methods
by: Zhou, Ji, et al.
Published: (2025)