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References from Balancing adversariality and naturalness in autonomous vehicle testing scenario generation via multi-objective reinforcement learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Sample-efficient multi-objective learning via generalized policy improvement prioritization
2023 · External reference
HypE: An algorithm for fast hypervolume-based many-objective optimization
10.1162/evco_a_00009 · 2011 · External reference
Ontology based scene creation for the development of automated vehicles
2018 · External reference
Performance boundary identification for the evaluation of automated vehicles using Gaussian process classification
2019 · External reference
Search-to-crash: Generating safety-critical scenarios from in-depth crash data for testing autonomous vehicles
10.1016/j.energy.2025.137174 · 2025 · External reference
Adversarial stress test for autonomous vehicle via series reinforcement learning tasks with reward shaping
10.1109/tiv.2024.3418887 · 2025 · External reference
Adversarial evaluation of autonomous vehicles in lane-change scenarios
10.1109/tits.2021.3091477 · 2022 · External reference
Modeling the risk of single-vehicle run-off-road crashes on horizontal curves using connected vehicle data
2024 · External reference
Unresolved reference
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Time-dependent effect of advanced driver assistance systems on driver behavior based on connected vehicle data
2025 · External reference
Trade-offs between safety and volatility in driving interactions: Evidence from a connected vehicle pilot study
2025 · External reference
10.1109/itsc.2019.8917242
10.1109/itsc.2019.8917242 · External reference
10.1109/iros45743.2020.9340696
10.1109/iros45743.2020.9340696 · External reference
Multimodal safety-critical scenarios generation for decision-making algorithms evaluation
10.1109/lra.2021.3058873 · 2021 · External reference
A survey on safety-critical driving scenario generation—a methodological perspective
10.1109/tits.2023.3259322 · 2023 · External reference
Testing scenario library generation for connected and automated vehicles, part II: Case studies
10.1109/tits.2020.2988309 · 2021 · External reference
Testing scenario library generation for connected and automated vehicles, part I: Methodology
10.1109/tits.2020.2972211 · 2021 · External reference
Dense reinforcement learning for safety validation of autonomous vehicles
10.1038/s41586-023-05732-2 · 2023 · External reference
Continuous safety assessment of updated supervised learning models in shadow mode
2023 · External reference
Adversarial safety-critical scenario generation using naturalistic human driving priors
10.1109/tiv.2023.3335862 · 2024 · External reference
A practical guide to multi-objective reinforcement learning and planning
10.1007/s10458-022-09552-y · 2022 · External reference
Automatic generation of intelligent vehicle testing scenarios at intersections based on natural driving datasets
10.1109/tiv.2023.3341072 · 2024 · External reference
Pre-crash scenarios for safety testing of autonomous vehicles: A clustering method for in-depth crash data
10.1016/j.aap.2024.107616 · 2024 · External reference
Accelerated testing and evaluation for black-box autonomous driving systems via adaptive Markov chain Monte Carlo
10.1109/tits.2024.3525059 · 2025 · External reference
Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?
10.1016/j.tra.2016.09.010 · 2016 · External reference
General lane-changing model MOBIL for car-following models
10.3141/1999-10 · 2007 · External reference
Adaptive stress testing for autonomous vehicles
2018 · External reference
The highD dataset: A drone dataset of naturalistic vehicle trajectories on German highways for validation of highly automated driving systems
2018 · External reference
Adaptive stress testing: Finding likely failure events with reinforcement learning
10.1613/jair.1.12190 · 2020 · External reference
Data generation for connected and automated vehicle tests using deep learning models
10.1016/j.aap.2023.107192 · 2023 · External reference
Unresolved reference
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Clustering of freeway cut-in scenarios for automated vehicle development considering data dimensionality and imbalance
10.1016/j.aap.2025.108151 · 2025 · External reference
High-dimensional functional boundaries search for deviation-robust testing of autonomous driving system
10.1016/j.aap.2025.108156 · 2025 · External reference
Exploring master scenarios for autonomous driving tests from police-reported historical crash data using an adaptive search sampling framework
10.1016/j.aap.2024.107688 · 2024 · External reference
A hazardous lane-changing scenario search approach based on adaptive random testing for automated vehicles
10.1109/tiv.2024.3415152 · 2025 · External reference
Safety-critical scenario generation via reinforcement learning based editing
2024 · External reference
Curse of rarity for autonomous vehicles
10.1038/s41467-024-49194-0 · 2024 · External reference
Learning configurations of operating environment of autonomous vehicles to maximize their collisions
10.1109/tse.2022.3150788 · 2023 · External reference
Evolving testing scenario generation and intelligence evaluation for automated vehicles
10.1016/j.trc.2024.104620 · 2024 · External reference
Curvature continuous path generation for autonomous vehicle using B-spline curves
10.1016/j.cad.2009.12.007 · 2010 · External reference
LLM-attacker: Enhancing closed-loop adversarial scenario generation for autonomous driving with large language models
10.1109/tits.2025.3578383 · 2025 · External reference
Scenarios for development, test and validation of automated vehicles
2018 · External reference
Human-level control through deep reinforcement learning
10.1038/nature14236 · 2015 · External reference
Multi-agent vulnerability discovery for autonomous driving policy by finding AV-responsible scenarios
2024 · External reference
Unresolved reference
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Generating useful accident-prone driving scenarios via a learned traffic prior
2022 · External reference
Pareto conditioned networks, in: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS ’22
2022 · External reference
Automated scenario generation for regression testing of autonomous vehicles
2017 · External reference
Unresolved reference
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Planning and decision-making for autonomous vehicles
10.1146/annurev-control-060117-105157 · 2018 · External reference
Knowledge guided controllable diffusion for enhanced autonomous driving scenarios generation
10.1016/j.neucom.2025.130616 · 2025 · External reference
Identifying critical test scenarios for lane keeping assistance system using analytic hierarchy process and hierarchical clustering
10.1109/tiv.2023.3297592 · 2023 · External reference
Generation of pedestrian crossing scenarios using Ped-Cross generative adversarial network
10.3390/app11020471 · 2021 · External reference
Accelerated verification of autonomous driving systems based on adaptive subset simulation
2024 · External reference
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10.1103/physreve.62.1805 · 2000 · External reference
Visualizing data using t-SNE
2008 · External reference
10.1007/978-3-642-37140-0_28
10.1007/978-3-642-37140-0_28 · External reference
Multi-objective reinforcement learning using sets of Pareto dominating policies
2014 · External reference
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling
10.1016/j.aap.2021.106157 · 2021 · External reference
High-level decision making for automated highway driving via behavior cloning
10.1109/tiv.2022.3169207 · 2023 · External reference
Efficient generation of safety-critical scenarios combining dynamic and static scenario parameters
10.1109/tiv.2024.3402221 · 2024 · External reference
Interactive critical scenario generation for autonomous vehicles testing based on in-depth crash data using reinforcement learning
10.1109/tiv.2024.3415961 · 2025 · External reference
Optimal trajectory generation for dynamic street scenarios in a Frenét frame
2010 · External reference
Unresolved reference
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Diversified critical-scenario-search for defect detection of autonomous driving system
2024 · External reference
Statistical analysis of the patterns and characteristics of connected and autonomous vehicle involved crashes
10.1016/j.jsr.2019.09.001 · 2019 · External reference
DiffScene: Diffusion-based safety-critical scenario generation for autonomous vehicles
2025 · External reference
Unresolved reference
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Adaptive testing environment generation for connected and automated vehicles with dense reinforcement learning
10.1109/tits.2025.3535866 · 2025 · External reference
High-risk trajectories generation for safety testing of autonomous vehicles based on in-depth crash data
10.1109/tits.2025.3576236 · 2025 · External reference
TrajGen: Generating realistic and diverse trajectories with reactive and feasible agent behaviors for autonomous driving
10.1109/tits.2022.3202185 · 2022 · External reference
Finding critical scenarios for automated driving systems: A systematic mapping study
10.1109/tse.2022.3170122 · 2023 · External reference
A review of scenario cases for autonomous transportation system: Insights from CAV safety testing and scenario generation
10.1016/j.aap.2025.107994 · 2025 · External reference
Accelerated evaluation of automated vehicles safety in lane-change scenarios based on importance sampling techniques
10.1109/tits.2016.2582208 · 2017 · External reference
Multi-agent trajectory prediction at unsignalized intersections: An improved generative adversarial network accounting for collision avoidance behaviors
10.1016/j.trc.2024.104974 · 2025 · External reference
A survey on recent advancements in autonomous driving using deep reinforcement learning: Applications, challenges, and solutions
10.1109/tits.2024.3452480 · 2024 · External reference
Formal certification methods for automated vehicle safety assessment
10.1109/tiv.2022.3170517 · 2023 · External reference
Quantile-based scenario generation for automated vehicle safety evaluation
10.1016/j.aap.2025.108043 · 2025 · External reference
Generation of naturalistic and critical boundary scenarios: A bi-level adaptive deep reinforcement learning method
10.1016/j.aap.2025.108269 · 2025 · External reference
DiffCrash: Leveraging denoising diffusion probabilistic models to expand high-risk testing scenarios using in-depth crash data
10.1016/j.eswa.2025.128140 · 2025 · External reference
Synthesizing realistic traffic events from UAV perspectives: A mask-guided generative approach based on style-modulated transformer
10.1109/tiv.2024.3510563 · 2025 · External reference
Critical scenarios adversarial generation method for intelligent vehicles testing based on hierarchical reinforcement architecture
10.1016/j.aap.2025.108013 · 2025 · External reference
Functional testing scenario library generation framework for connected and automated vehicles
10.1109/tits.2023.3266639 · 2023 · External reference
