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