{"total":88,"rows":[{"id":"2306.16927","title":"End-to-end Autonomous Driving: Challenges and Frontiers","created":"2023-06-29","cited_by_count":490,"area":"driving"},{"id":"2402.12289","title":"DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models","created":"2024-02-19","cited_by_count":490,"area":"mllm"},{"id":"2201.08164","title":"From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI","created":"2022-01-20","cited_by_count":302,"area":null},{"id":"2209.10767","title":"DRAMA: Joint Risk Localization and Captioning in Driving","created":"2022-09-22","cited_by_count":126,"area":null},{"id":"2310.14414","title":"Vision Language Models in Autonomous Driving: A Survey and Outlook","created":"2023-10-22","cited_by_count":126,"area":"mllm"},{"id":"2501.04003","title":"Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives","created":"2025-01-07","cited_by_count":122,"area":"mllm"},{"id":"2312.12936","title":"Concept-based Explainable Artificial Intelligence: A Survey","created":"2023-12-20","cited_by_count":98,"area":null},{"id":"2103.05154","title":"Explanations in Autonomous Driving: A Survey","created":"2021-03-09","cited_by_count":81,"area":null},{"id":"2101.05307","title":"Explainability of deep vision-based autonomous driving systems: Review and challenges","created":"2021-01-13","cited_by_count":80,"area":null},{"id":"2202.01459","title":"Concept Bottleneck Model with Additional Unsupervised Concepts","created":"2022-02-03","cited_by_count":79,"area":null},{"id":"2408.10845","title":"CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving","created":"2024-08-19","cited_by_count":77,"area":"driving"},{"id":"2112.11561","title":"Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions","created":"2021-12-21","cited_by_count":73,"area":"driving"},{"id":"2401.01454","title":"A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook","created":"2024-01-02","cited_by_count":66,"area":null},{"id":"2305.19951","title":"Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts","created":"2023-05-31","cited_by_count":63,"area":null},{"id":"2309.06597","title":"Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning","created":"2023-09-12","cited_by_count":63,"area":null},{"id":"2402.10086","title":"Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review","created":"2024-02-08","cited_by_count":53,"area":null},{"id":"2303.09962","title":"Adversarial Counterfactual Visual Explanations","created":"2023-03-17","cited_by_count":47,"area":"diffusion"},{"id":"2111.09094","title":"STEEX: Steering Counterfactual Explanations with Semantics","created":"2021-11-17","cited_by_count":40,"area":null},{"id":"2402.12240","title":"BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts","created":"2024-02-19","cited_by_count":37,"area":null},{"id":"2405.05173","title":"A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective","created":"2024-05-08","cited_by_count":37,"area":null},{"id":"2302.01242","title":"Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal","created":"2023-02-02","cited_by_count":33,"area":null},{"id":"2412.07689","title":"RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving","created":"2024-12-10","cited_by_count":30,"area":"mllm"},{"id":"2211.12380","title":"OCTET: Object-aware Counterfactual Explanations","created":"2022-11-22","cited_by_count":28,"area":null},{"id":"2306.13531","title":"WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes","created":"2023-06-23","cited_by_count":22,"area":null},{"id":"2406.07661","title":"ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones","created":"2024-06-11","cited_by_count":22,"area":null},{"id":"2409.02914","title":"Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving","created":"2024-09-04","cited_by_count":22,"area":"mllm"},{"id":"2507.09815","title":"VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding","created":"2025-07-13","cited_by_count":20,"area":null},{"id":"2303.09706","title":"Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding","created":"2023-03-17","cited_by_count":19,"area":null},{"id":"2406.10368","title":"A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts","created":"2024-06-14","cited_by_count":19,"area":null},{"id":"2501.09167","title":"Embodied Scene Understanding for Vision Language Models via MetaVQA","created":"2025-01-15","cited_by_count":19,"area":"mllm"},{"id":"2501.15638","title":"A Comprehensive Survey on Self-Interpretable Neural Networks","created":"2025-01-26","cited_by_count":18,"area":null},{"id":"2112.02604","title":"PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions","created":"2021-12-05","cited_by_count":17,"area":null},{"id":"2506.06218","title":"STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving","created":"2025-06-06","cited_by_count":17,"area":"mllm"},{"id":"2307.10408","title":"Explaining Autonomous Driving Actions with Visual Question Answering","created":"2023-07-19","cited_by_count":16,"area":"driving"},{"id":"2503.21459","title":"RoadSocial: A Diverse VideoQA Dataset and Benchmark for Road Event Understanding from Social Video Narratives","created":"2025-03-27","cited_by_count":15,"area":null},{"id":"2507.21585","title":"SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation","created":"2025-07-29","cited_by_count":15,"area":"mllm"},{"id":"2503.03262","title":"Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions","created":"2025-03-05","cited_by_count":14,"area":null},{"id":"2403.11057","title":"Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving","created":"2024-03-17","cited_by_count":13,"area":"driving"},{"id":"2404.08561","title":"IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic","created":"2024-04-12","cited_by_count":13,"area":null},{"id":"2502.11245","title":"Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens","created":"2025-02-16","cited_by_count":13,"area":null},{"id":"2504.14526","title":"Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding","created":"2025-04-20","cited_by_count":13,"area":"driving"},{"id":"2505.13138","title":"Neurosymbolic Diffusion Models","created":"2025-05-19","cited_by_count":13,"area":"lr"},{"id":"2405.01636","title":"Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey","created":"2024-05-02","cited_by_count":11,"area":null},{"id":"2503.19466","title":"A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction","created":"2025-03-25","cited_by_count":11,"area":null},{"id":"2602.08440","title":"SteerVLA: Steering Vision-Language-Action Models in Long-Tail Driving Scenarios","created":"2026-02-09","cited_by_count":11,"area":"vla"},{"id":"2508.21824","title":"DriveQA: Passing the Driving Knowledge Test","created":"2025-08-29","cited_by_count":10,"area":"driving"},{"id":"2110.05559","title":"Development and testing of an image transformer for explainable autonomous driving systems","created":"2021-10-11","cited_by_count":9,"area":"driving"},{"id":"2206.09575","title":"C-SENN: Contrastive Self-Explaining Neural Network","created":"2022-06-20","cited_by_count":9,"area":null},{"id":"2204.09109","title":"From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions","created":"2022-04-19","cited_by_count":8,"area":null},{"id":"2407.11771","title":"XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach","created":"2024-07-16","cited_by_count":8,"area":null},{"id":"2211.05120","title":"Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review","created":"2022-11-09","cited_by_count":7,"area":null},{"id":"2403.12176","title":"Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving","created":"2024-03-18","cited_by_count":7,"area":"driving"},{"id":"2101.03613","title":"Explainable Artificial Intelligence (XAI): An Engineering Perspective","created":"2021-01-10","cited_by_count":6,"area":null},{"id":"2108.00273","title":"Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents","created":"2021-07-31","cited_by_count":6,"area":null},{"id":"2404.00019","title":"Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap","created":"2024-03-19","cited_by_count":6,"area":null},{"id":"2307.15786","title":"SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems","created":"2023-07-28","cited_by_count":5,"area":null},{"id":"2409.10330","title":"DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving","created":"2024-09-16","cited_by_count":5,"area":"driving"},{"id":"2310.04671","title":"Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction","created":"2023-10-07","cited_by_count":4,"area":null},{"id":"2402.15572","title":"Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles","created":"2024-02-23","cited_by_count":4,"area":null},{"id":"2409.09520","title":"Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM","created":"2024-09-14","cited_by_count":4,"area":null},{"id":"2303.09154","title":"Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation","created":"2023-03-16","cited_by_count":3,"area":null},{"id":"2403.14641","title":"Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness","created":"2024-02-21","cited_by_count":3,"area":null},{"id":"2503.16797","title":"A Learnability Analysis on Neuro-Symbolic Learning","created":"2025-03-21","cited_by_count":3,"area":null},{"id":"2506.05442","title":"Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving","created":"2025-06-05","cited_by_count":3,"area":"lr"},{"id":"2510.25497","title":"Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI","created":"2025-10-29","cited_by_count":3,"area":"lr"},{"id":"2110.07380","title":"Reason induced visual attention for explainable autonomous driving","created":"2021-10-11","cited_by_count":2,"area":null},{"id":"2308.12755","title":"Acquiring Qualitative Explainable Graphs for Automated Driving Scene Interpretation","created":"2023-08-24","cited_by_count":2,"area":null},{"id":"2402.04370","title":"Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception","created":"2024-02-06","cited_by_count":2,"area":null},{"id":"2411.15605","title":"GIFT: A Framework Towards Global Interpretable Faithful Textual Explanations of Vision Classifiers","created":"2024-11-23","cited_by_count":2,"area":null},{"id":"2501.05733","title":"TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos","created":"2025-01-10","cited_by_count":2,"area":"mllm"},{"id":"2602.18792","title":"MaskDiME: Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual Explanations","created":"2026-02-21","cited_by_count":2,"area":"diffusion"},{"id":"2105.01517","title":"Where and When: Space-Time Attention for Audio-Visual Explanations","created":"2021-05-04","cited_by_count":1,"area":null},{"id":"2403.09206","title":"Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM","created":"2024-03-14","cited_by_count":1,"area":null},{"id":"2507.00525","title":"Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving","created":"2025-07-01","cited_by_count":1,"area":"mllm"},{"id":"2507.09881","title":"Counterfactual Visual Explanation via Causally-Guided Adversarial Steering","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2511.13881","title":"VLMs Guided Interpretable Decision Making for Autonomous Driving","created":"2025-11-17","cited_by_count":1,"area":"mllm"},{"id":"2603.05936","title":"OD-RASE: Ontology-Driven Risk Assessment and Safety Enhancement for Autonomous Driving","created":"2026-03-06","cited_by_count":1,"area":"driving"},{"id":"2605.00291","title":"An End-to-End Decision-Aware Multi-Scale Attention-Based Model for Explainable Autonomous Driving","created":"2026-04-30","cited_by_count":1,"area":null},{"id":"2605.18202","title":"Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models","created":"2026-05-18","cited_by_count":1,"area":"lr"},{"id":"2205.14118","title":"Efficient textual explanations for complex road and traffic scenarios based on semantic segmentation","created":"2022-05-26","cited_by_count":0,"area":null},{"id":"2407.06339","title":"Noise-Free Explanation for Driving Action Prediction","created":"2024-07-08","cited_by_count":0,"area":null},{"id":"2501.15045","title":"Towards Robust Unsupervised Attention Prediction in Autonomous Driving","created":"2025-01-25","cited_by_count":0,"area":null},{"id":"2510.09200","title":"Towards Safer and Understandable Driver Intention Prediction","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2605.04299","title":"Beyond Fixed Thresholds and Domain-Specific Benchmarks for Explainable Multi-Task Classification in Autonomous Vehicles","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2608.10954","title":"Evidence-Grounded Trustworthy Multimodal Reasoning and Evaluation Benchmark in Complex Urban Scenes","created":"2026-08-11","cited_by_count":0,"area":"lr"},{"id":"2608.14767","title":"NARRATE: A Multimodal Real-World Australian Driving Dataset for Human-Centred Explanations in Automated Driving","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.07125","title":"A Two-Stage Framework for Ego-Centric Key Object Identification via Object State Prediction","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.12247","title":"Soft Symbol Grounding for Prototypical Concepts","created":"2026-09-10","cited_by_count":0,"area":null}],"next_cursor":null}