Latest Research in Autonomous Driving Intelligence
76 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Autonomous Driving Intelligence
- Robotics — 21 papers
- Computer Vision and Pattern Recognition — 14 papers
- Autonomous Vehicle Technology and Safety — 10 papers
- Machine Learning — 7 papers
- Artificial Intelligence — 6 papers
- Traffic control and management — 3 papers
- Vehicle Dynamics and Control Systems — 3 papers
- Optimization and Control — 2 papers
- Transportation Planning and Optimization — 1 papers
- Dam Engineering and Safety — 1 papers
Highest-Cited Papers
- Long-Horizon Consistent and Interaction-Aware World Models for Multi-Style End-to-End Driving
- Offline and offline-to-online reinforcement learning for bus holding control
- Bridging scenario generation and regulatory standards: A physically plausible generative AI framework for automated vehicle safety certification
- Learning Reliable Parking Policies via Offline Reinforcement Learning with Quantized Action Representations
- Latent-Centroid Steering: Single-Pass Classifier-Free Guidance for Command-Aligned Autonomous Driving
- Adaptive emergency braking for highway safety: a simulation framework for performance and reliability evaluation
- I nternet of things and artificial intelligence‐based structural health monitoring and damage evaluation of concrete dams using vibration and vision analysis
- Infrequent Resolving Algorithm for Online Linear Programming (1 citations)
- Risk-Aware World Modeling with Flow-Guided Occupancy Evolution for Selective Trajectory Planning in Automated Driving
- End2Race: An End-to-End Learning Framework for Multi-Vehicle Autonomous Racing
- FIVE-VLA: Fast and EffectIVE Autonomous Driving with Recurrent Action Memory
- CorrRisk-WM: Corridor-Conditioned Risk World Modeling for Safety-Critical Trajectory Planning
- Embedded intelligent vehicle perception and control using neural network methodologies
- Dual-Branch Trajectory Decision-Making for Autonomous Driving in Intersection Left-Turn Scenarios
- Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous Racing
- Composite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive Control
- Imitation Learning for Autonomous Driving in CARLA
- Vehicle Trajectory Prediction via Neural Fusion of Multiple EKF-based Trajectory Candidates
- GL-TGS: Guarded Learning-Based Time-Gap Supervision for Adaptive MPC in Perception-in-the-Loop Autonomous Highway Driving
- Stabilizing Trajectory Outputs in End-to-end Autonomous Driving via SC-IMM Based Teacher Signals
Sub-Regions
- Computer Vision and Pattern Recognition — 14 papers
- Autonomous Vehicle Technology and Safety — 13 papers
- Robotics — 12 papers
- Vehicle Dynamics and Control Systems — 12 papers
- Artificial Intelligence — 10 papers
- Machine Learning — 7 papers