{"total":17,"rows":[{"id":"2311.15260","title":"NeuRAD: Neural Rendering for Autonomous Driving","created":"2023-11-26","cited_by_count":150,"area":"driving"},{"id":"2506.04218","title":"Pseudo-Simulation for Autonomous Driving","created":"2025-06-04","cited_by_count":150,"area":"driving"},{"id":"2402.05746","title":"Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents","created":"2024-02-08","cited_by_count":91,"area":"driving"},{"id":"2404.07762","title":"NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving","created":"2024-04-11","cited_by_count":62,"area":"driving"},{"id":"2503.06744","title":"CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving","created":"2025-03-09","cited_by_count":25,"area":"driving"},{"id":"2403.16092","title":"Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap","created":"2024-03-24","cited_by_count":20,"area":"driving"},{"id":"2311.12144","title":"Applications of Large Scale Foundation Models for Autonomous Driving","created":"2023-11-20","cited_by_count":14,"area":"driving"},{"id":"2406.18360","title":"XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis","created":"2024-06-26","cited_by_count":9,"area":"driving"},{"id":"2503.14537","title":"Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Survey","created":"2025-03-17","cited_by_count":9,"area":"driving"},{"id":"2606.19836","title":"World Engine: Towards the Era of Post-Training for Autonomous Driving","created":"2026-06-18","cited_by_count":8,"area":"driving"},{"id":"2508.20965","title":"DrivingGaussian++: Towards Realistic Reconstruction and Editable Simulation for Surrounding Dynamic Driving Scenes","created":"2025-08-28","cited_by_count":4,"area":"driving"},{"id":"2607.14203","title":"Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation","created":"2026-07-15","cited_by_count":3,"area":"driving"},{"id":"2604.18468","title":"Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation","created":"2026-04-20","cited_by_count":2,"area":"driving"},{"id":"2305.06820","title":"DeepSTEP -- Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles","created":"2023-05-11","cited_by_count":1,"area":"driving"},{"id":"2605.21032","title":"Towards Physically Consistent 4D Scene Reconstruction for Closed-loop Autonomous Driving Simulation","created":"2026-05-20","cited_by_count":0,"area":"driving"},{"id":"2608.01761","title":"DecoupleGS: Interactive 3D Gaussian Splatting for End-to-End Autonomous Driving Testing","created":"2026-08-03","cited_by_count":0,"area":"driving"},{"id":"2609.31374","title":"RECAST: From Log Replay to Closed-Loop Driving Simulation with View-Complete Actors","created":"2026-09-25","cited_by_count":0,"area":"driving"}],"next_cursor":null}