Opportunities · 01Control Theory for Vehicle Dynamics
169 papers23.0% of this theme group
Research proposes advanced control and trajectory methods to improve autonomous vehicle safety and efficiency.
Control theory (16) · Trajectory (17) · Controller (8) · Vehicle dynamics (9)
Enhancing Autonomous Vehicle Safety and Efficiency Through Intelligent Mapping and Recommendations
A Driving Decision Strategy Based On Machine Learning For An Autonomous Vehicle.
Opportunities · 02Deep Learning for Road Feature Detection
154 papers20.9% of this theme group
Papers develop convolutional networks to detect lanes, signs, and obstacles for reliable autonomous navigation.
Segmentation (28) · Convolutional neural network (20) · Obstacle (15) · Sign (10)
Lane Detection for Autonomous Vehicles using Image Transformation Techniques
Detection of Lane and Speed Breaker Warning System for Autonomous Vehicles Using Machine Learning Algorithm
Opportunities · 03Secure IoT and Blockchain Solutions
149 papers20.2% of this theme group
Studies explore blockchain and deep‑learning frameworks to protect communication and data in connected vehicles.
Computer security (28) · Internet of Things (18) · Computer network (25) · Blockchain (13)
Intelligent Deep Learning Architectures for Real-Time Traffic Analysis and Decision Support in IoT-Enabled Autonomous Vehicles
Machine Learning-based Secure Communication Framework for Connected Autonomous Vehicles
Opportunities · 04Real‑Time Object Detection Advances
94 papers12.8% of this theme group
Works focus on YOLO‑based models for fast, accurate detection of objects in autonomous driving scenes.
Object detection (74) · Object (34) · Convolutional neural network (12) · Minimum bounding box (5)
YOLO based Object Detection Techniques for Autonomous Driving
Advancing Real-Time Object Detection for Autonomous Vehicles with YOLOv11
Opportunities · 05Reinforcement Learning for Adaptive Driving
63 papers8.6% of this theme group
Research applies deep reinforcement learning to enable vehicles to learn safe lane‑keeping and overtaking behaviors.
Reinforcement learning (53) · Action (7) · Reinforcement (5) · Adaptability (6)
Deep reinforcement learning for autonomous vehicles: lane keep and overtaking scenarios with collision avoidance
Advanced Deep Reinforcement Learning Strategies for Enhanced Autonomous Vehicle Navigation Systems
Opportunities · 06Enhanced Driver‑Assistance Systems
57 papers7.7% of this theme group
Papers present improved ADAS technologies such as radar‑based lane‑departure warnings and speed‑bump detection.
Advanced driver assistance systems (25) · Radar (9) · Lane departure warning system (6) · Automotive engineering (9)
Advance Driver Assistance System (ADAS) - Speed bump detection
An Improved Lane Detection and Lane Departure Warning Framework for ADAS
Opportunities · 07Data Balancing for Medical Pattern Recognition
50 papers6.8% of this theme group
Studies use oversampling and advanced classifiers to boost detection accuracy in health‑related datasets.
Oversampling (4) · Pattern recognition (6) · Humanities (4) · Philosophy (3)
Data Balancing Techniques Using the PCA-KMeans and ADASYN for Possible Stroke Disease Cases
Enhanced Detection of Autism Spectrum Disorder using Machine Learning and Deep Neural Models with ADASYN and ENN Techniques
