Latest Research in Computer Vision and Pattern Recognition

35 research papers · 2026 median publication year

Top Research Topics in Computer Vision and Pattern Recognition

Highest-Cited Papers

  1. Short-Term Traffic Speed Prediction Integrating Traffic Flow Theory for Enhanced Urban Congestion Mitigation
  2. From Intent to Action: Benchmarking LLM Safety in Vehicle Voice Command Authorization
  3. Sim-to-Real Traffic Scene Understanding by Decoupling Semantics from Caption Generation with V-JEPA
  4. DriveMCP: An Agentic AI framework for Advanced Driver Assistance System
  5. Multimodal Emergency Vehicle Classification via Audio-Visual Transformers and Knowledge Distillation
  6. Jointly Predicting Civil Unrest Event Occurrence Probabilities and Potential Initiators via Multi-Task Learning
  7. How Good Are Time-Series Foundation Models for Pedestrian Crowd Count Forecasting? A Cross-Dataset Comparative Study
  8. Interaction-enhanced lane-change early warning in congested traffic: a spatial risk propagation-aware approach
  9. Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City
  10. Observe Before You Alert: Adaptive Driver Alerting with Vision-Language Models
  11. Self supervised traffic embedding for high resolution risk assessment in large scale campus networks
  12. Recent Advancements in Traffic Flow Prediction: Review, Challenges and Future Research Directions
  13. Toward Sustainable Urban Mobility: A Multimodal Large Language Model (MLLM) Framework for Automated Driver Performance Assessment with YOLOv8-Based Scene Detection
  14. PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving
  15. ChatBEV: Empowering Traffic Scene Understanding and Simulation via Vision-Language Model
  16. TrajMind: Chaining Role-Specialized LoRAs for Fast-and-Slow Collective Trajectory Anomaly Diagnosis
  17. Interactive adversarial driving with quantified psychological traits
  18. Crash Risk Prediction Guided by Large Language Models Using Pre-Crash Trajectories
  19. From Code to Collaboration: A Cognitive Agent Framework for Large Language Model (LLM)-Based Human-Vehicle Teaming
  20. State-of-the-Art Vehicle-to-Pedestrian Systems Technology: Survey and Recommendations for Effective Deployments
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L3 Region - - 2026 Sep Q3

Computer Vision and Pattern Recognition

35 papers

Top Topics (10)

Computer Vision and Pattern Recognition6
Autonomous Vehicle Technology and Safety5
Traffic Prediction and Management Techniques4
Robotics3
Traffic control and management3
Artificial Intelligence2
Multimedia2
Machine Learning2
Human-Automation Interaction and Safety2
Prosthetics and Rehabilitation Robotics2

Top Publications (20)

1.Short-Term Traffic Speed Prediction Integrating Traffic Flow Theory for Enhanced Urban Congestion Mitigation2.From Intent to Action: Benchmarking LLM Safety in Vehicle Voice Command Authorization3.Sim-to-Real Traffic Scene Understanding by Decoupling Semantics from Caption Generation with V-JEPA4.DriveMCP: An Agentic AI framework for Advanced Driver Assistance System5.Multimodal Emergency Vehicle Classification via Audio-Visual Transformers and Knowledge Distillation6.Jointly Predicting Civil Unrest Event Occurrence Probabilities and Potential Initiators via Multi-Task Learning7.How Good Are Time-Series Foundation Models for Pedestrian Crowd Count Forecasting? A Cross-Dataset Comparative Study8.Interaction-enhanced lane-change early warning in congested traffic: a spatial risk propagation-aware approach9.Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City10.Observe Before You Alert: Adaptive Driver Alerting with Vision-Language Models11.Self supervised traffic embedding for high resolution risk assessment in large scale campus networks12.Recent Advancements in Traffic Flow Prediction: Review, Challenges and Future Research Directions13.Toward Sustainable Urban Mobility: A Multimodal Large Language Model (MLLM) Framework for Automated Driver Performance Assessment with YOLOv8-Based Scene Detection14.PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving15.ChatBEV: Empowering Traffic Scene Understanding and Simulation via Vision-Language Model16.TrajMind: Chaining Role-Specialized LoRAs for Fast-and-Slow Collective Trajectory Anomaly Diagnosis17.Interactive adversarial driving with quantified psychological traits18.Crash Risk Prediction Guided by Large Language Models Using Pre-Crash Trajectories19.From Code to Collaboration: A Cognitive Agent Framework for Large Language Model (LLM)-Based Human-Vehicle Teaming20.State-of-the-Art Vehicle-to-Pedestrian Systems Technology: Survey and Recommendations for Effective Deployments
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