{"total":22,"rows":[{"id":"2102.03483","title":"Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles","created":"2021-02-06","cited_by_count":27,"area":"driving"},{"id":"2109.06126","title":"Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles","created":"2021-09-13","cited_by_count":19,"area":"driving"},{"id":"2203.14155","title":"How Do We Fail? Stress Testing Perception in Autonomous Vehicles","created":"2022-03-26","cited_by_count":18,"area":"driving"},{"id":"2409.18218","title":"Learning to Drive via Asymmetric Self-Play","created":"2024-09-26","cited_by_count":11,"area":"driving"},{"id":"2112.11937","title":"Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies","created":"2021-12-22","cited_by_count":10,"area":"driving"},{"id":"2409.10320","title":"SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation","created":"2024-09-16","cited_by_count":10,"area":"driving"},{"id":"2302.13726","title":"(Re)$^2$H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning","created":"2023-02-27","cited_by_count":6,"area":"driving"},{"id":"2103.10245","title":"Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge","created":"2021-03-16","cited_by_count":4,"area":"driving"},{"id":"2210.16575","title":"Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms","created":"2022-10-29","cited_by_count":4,"area":"driving"},{"id":"2309.14209","title":"Continual Driving Policy Optimization with Closed-Loop Individualized Curricula","created":"2023-09-25","cited_by_count":4,"area":"driving"},{"id":"2503.05180","title":"Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions","created":"2025-03-07","cited_by_count":4,"area":"driving"},{"id":"2107.04487","title":"ARC: Adversarially Robust Control Policies for Autonomous Vehicles","created":"2021-07-09","cited_by_count":3,"area":"driving"},{"id":"2309.15770","title":"Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering","created":"2023-09-27","cited_by_count":3,"area":"driving"},{"id":"2409.14196","title":"Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review","created":"2024-09-21","cited_by_count":3,"area":"driving"},{"id":"2209.10078","title":"ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving","created":"2022-09-21","cited_by_count":2,"area":"driving"},{"id":"2403.13729","title":"Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study","created":"2024-03-20","cited_by_count":2,"area":"driving"},{"id":"2309.00249","title":"Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles","created":"2023-09-01","cited_by_count":1,"area":"driving"},{"id":"2402.11813","title":"A novel framework for adaptive stress testing of autonomous vehicles in multi-lane roads","created":"2024-02-19","cited_by_count":1,"area":"driving"},{"id":"2603.11534","title":"Risk-Controllable Multi-View Diffusion for Driving Scenario Generation","created":"2026-03-12","cited_by_count":1,"area":"driving"},{"id":"2206.00910","title":"A Real-time Critical-scenario-generation Framework for Testing Autonomous Driving System","created":"2022-06-02","cited_by_count":0,"area":"driving"},{"id":"2604.18918","title":"From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing","created":"2026-04-20","cited_by_count":0,"area":"driving"},{"id":"2607.18106","title":"Importance Sampling and PCA for Finding Failures in Commercial Autonomous Vehicles","created":"2026-07-20","cited_by_count":0,"area":"driving"}],"next_cursor":null}