Latest Research in Autonomous Vehicle Technology and Safety
31 research papers · 2026 median publication year
Top Research Topics in Autonomous Vehicle Technology and Safety
- Autonomous Vehicle Technology and Safety — 5 papers
- Traffic control and management — 5 papers
- Computer Vision and Pattern Recognition — 5 papers
- Machine Learning — 3 papers
- Robotics — 3 papers
- Systems and Control — 2 papers
- Evacuation and Crowd Dynamics — 2 papers
- Traffic and Road Safety — 1 papers
- Urban Transport and Accessibility — 1 papers
- Artificial Intelligence — 1 papers
Highest-Cited Papers
- Interval-based collision prediction utilizing nested Kalman filters in video surveillance systems
- Multi-stage temporal inference and adaptive windowing for automatic lane-change onset labeling from trajectory data
- LMP-GNN: Probabilistic Reconstruction of Missing Lane Counts for Signed Max-Pressure Traffic Signal Control
- AsyncCouple-Flow: Asynchronous Cross-Modal Coupling and Flow Matching for Spatio-Temporal Forecasting
- DKD-MARL: a data-knowledge dual-driven multi-agent reinforcement learning framework for traffic crash severity prediction
- Phase transition in lattice hydrodynamic model accounting for information interruption under connected autonomous vehicles conditions
- Driver Behavior Estimation at Signalized Intersections Using a Physics-Constrained Decision-Conditioned Autoregressive Transformer
- Cross-region zero-shot bike-sharing demand prediction with transitive transfer learning using multi-modal public transit data
- Feedback-Enhanced Closed-loop Decision Making for Autonomous Driving with Large Language Models
- SimSkill: A Self-Evolving LLM Agent for Skill and Knowledge Accumulation in Traffic Simulation
- Testing Between the Test Cases: Proving End-to-End Steering in Conditions You Never Drove
- Optimal Sensing Boundary Identification for Adaptive Signal Timing via Bayesian Online Learning
- Priority Flicker in Risk-Based Pedestrian Prioritization: A Baseline Temporal Stability Assessment on the ETH/UCY Benchmark
- CrowdTraj: A Benchmark for Dense Crowd Trajectory Prediction in Realistic Crowded Environments
- Human–machine collaborative driving collision avoidance control based on Bayesian risk estimation
- Is Forecasting Accuracy Enough? A Comparative Study of Traffic Forecasters for Beam-Hopping LEO Satellite Networks
- Comparison of Two Distinct Automatic Emergency Braking Control Strategies for Heavy Vehicles
- Enhancing Road Safety Through Multi-Camera Image Segmentation with Post-Encroachment Time Analysis
- Rethinking Language's Role in Efficient VLA for Autonomous Vehicles: Toward Smarter, Trustworthy Driving
- AI-Powered Traffic Rule Violation Detection and Evidence Generation: A Multi-Model Deep Learning Framework for Urban Roads