{"total":19,"rows":[{"id":"2401.05577","title":"VLP: Vision Language Planning for Autonomous Driving","created":"2024-01-10","cited_by_count":126,"area":"driving"},{"id":"2310.17642","title":"Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models","created":"2023-10-26","cited_by_count":59,"area":"driving"},{"id":"2506.11526","title":"Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis","created":"2025-06-13","cited_by_count":38,"area":"driving"},{"id":"2404.04804","title":"Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving","created":"2024-04-07","cited_by_count":35,"area":"driving"},{"id":"2312.03543","title":"GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models","created":"2023-12-06","cited_by_count":32,"area":"driving"},{"id":"2401.08045","title":"Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities","created":"2024-01-16","cited_by_count":24,"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":"2410.23780","title":"Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map","created":"2024-10-31","cited_by_count":11,"area":"driving"},{"id":"2601.10707","title":"See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection","created":"2026-01-15","cited_by_count":4,"area":"driving"},{"id":"2309.07808","title":"What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving","created":"2023-09-14","cited_by_count":2,"area":"driving"},{"id":"2412.19944","title":"Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmark","created":"2024-12-27","cited_by_count":2,"area":"driving"},{"id":"2511.12708","title":"FSDAM: Few-Shot Driving Attention Modeling via Vision-Language Coupling","created":"2025-11-16","cited_by_count":2,"area":"driving"},{"id":"2505.13817","title":"InstanceBEV: Unifying Instance and BEV Representation for 3D Panoptic Segmentation","created":"2025-05-20","cited_by_count":0,"area":"driving"},{"id":"2603.00919","title":"DriveCode: Domain Specific Numerical Encoding for LLM-Based Autonomous Driving","created":"2026-03-01","cited_by_count":0,"area":"driving"},{"id":"2603.07874","title":"Toward Unified Multimodal Representation Learning for Autonomous Driving","created":"2026-03-09","cited_by_count":0,"area":"driving"},{"id":"2603.23034","title":"Traffic Sign Recognition in Autonomous Driving: Dataset, Benchmark, and Field Experiment","created":"2026-03-24","cited_by_count":0,"area":"driving"},{"id":"2606.20274","title":"Lagrange: An Open-Vocabulary, Energy-Based Sparse Framework for Generalized End-to-End Driving","created":"2026-06-18","cited_by_count":0,"area":"driving"},{"id":"2607.23962","title":"Development of Vision-Language Model-based GNSS Spoofing Detection for Autonomous Vehicle Navigation","created":"2026-07-27","cited_by_count":0,"area":"driving"},{"id":"2609.29813","title":"S2Planner: Multi-Scale Semantic Planner for End-to-End Autonomous Driving","created":"2026-09-24","cited_by_count":0,"area":"driving"}],"next_cursor":null}