Showing 1–15 of 15 results
/ Date/ Name
Jul 11, 2017DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow PredictionAug 6, 2018An Efficient Deep Reinforcement Learning Model for Urban Traffic ControlJul 25, 2023Towards Integrated Traffic Control with Operating Decentralized Autonomous OrganizationMar 20, 2024SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language ModelsJan 4, 2025UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude MobilitySep 11, 2024MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous DrivingJan 14, 2026CogRail: Benchmarking VLMs in Cognitive Intrusion Perception for Intelligent Railway Transportation SystemsMar 9, 2025Evaluation of Safety Cognition Capability in Vision-Language Models for Autonomous DrivingApr 18, 2024S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous VehiclesMay 16, 2025Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series ForecastingFeb 27, 2024RIME: Robust Preference-based Reinforcement Learning with Noisy PreferencesJun 4, 2025SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and OptimizationMar 26, 2025Offline Reinforcement Learning with Discrete Diffusion SkillsAug 1, 2023Counterfactual Graph Transformer for Traffic Flow PredictionJun 3, 2025Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework