OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Intelligent Vehicles is 47. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
A Survey on Trajectory-Prediction Methods for Autonomous Driving	224
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys	204
Attention Based Vehicle Trajectory Prediction	192
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives	177
AI-IMU Dead-Reckoning	161
Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives	161
Securing Vehicle-to-Everything (V2X) Communication Platforms	148
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control	120
HYDRO-3D: Hybrid Object Detection and Tracking for Cooperative Perception Using 3D LiDAR	101
A Survey on Attack Detection and Resilience for Connected and Automated Vehicles: From Vehicle Dynamics and Control Perspective	96
MPC-Based Cooperative Control Strategy of Path Planning and Trajectory Tracking for Intelligent Vehicles	94
Quality-Aware Feature Aggregation Network for Robust RGBT Tracking	91
MetaVehicles in the Metaverse: Moving to a New Phase for Intelligent Vehicles and Smart Mobility	87
Parallel Driving OS: A Ubiquitous Operating System for Autonomous Driving in CPSS	87
Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach	86
Prediction-Uncertainty-Aware Decision-Making for Autonomous Vehicles	85
Path Planning Based on Deep Reinforcement Learning for Autonomous Underwater Vehicles Under Ocean Current Disturbance	84
Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective	84
Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles	83
Robust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control	79
Driving Performance Under Violations of Traffic Rules: Novice vs. Experienced Drivers	74
Predicting Pedestrian Crossing Intention With Feature Fusion and Spatio-Temporal Attention	71
A Novel Algorithm of Multi-AUVs Task Assignment and Path Planning Based on Biologically Inspired Neural Network Map	69
Cross-Domain Object Detection for Autonomous Driving: A Stepwise Domain Adaptative YOLO Approach	69
Millimeter Wave FMCW RADARs for Perception, Recognition and Localization in Automotive Applications: A Survey	67

Set-Based Prediction of Traffic Participants Considering Occlusions and Traffic Rules	67
A Multimodality Fusion Deep Neural Network and Safety Test Strategy for Intelligent Vehicles	65
A Progressive Review: Emerging Technologies for ADAS Driven Solutions	65
Parallel Vision for Long-Tail Regularization: Initial Results From IVFC Autonomous Driving Testing	65
An Optimization-Based Path Planning Approach for Autonomous Vehicles Using the DynEFWA-Artificial Potential Field	64
Using Reachable Sets for Trajectory Planning of Automated Vehicles	64
Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach	63
Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections	61
Improved Path Planning by Tightly Combining Lattice-Based Path Planning and Optimal Control	59
Real-Time Driver Maneuver Prediction Using LSTM	58
Towards Computationally Efficient and Realtime Distracted Driver Detection With MobileVGG Network	58
Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving	57
Learning to Drive by Imitation: An Overview of Deep Behavior Cloning Methods	54
AI-TP: Attention-Based Interaction-Aware Trajectory Prediction for Autonomous Driving	54
Multi-Modal 3D Object Detection in Autonomous Driving: A Survey and Taxonomy	53
A Parallel Intelligence-Driven Resource Scheduling Scheme for Digital Twins-Based Intelligent Vehicular Systems	53
Cooperative Driving of Automated Vehicles Using B-Splines for Trajectory Planning	50
Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving	50
Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles	50
Bridging the View Disparity Between Radar and Camera Features for Multi-Modal Fusion 3D Object Detection	49
Human-Machine Shared Driving: Challenges and Future Directions	48
A Review of HMM-Based Approaches of Driving Behaviors Recognition and Prediction	48
Performance and Challenges of 3D Object Detection Methods in Complex Scenes for Autonomous Driving	47
Provably-Correct and Comfortable Adaptive Cruise Control	47
Soft-Weighted-Average Ensemble Vehicle Detection Method Based on Single-Stage and Two-Stage Deep Learning Models	47