Opportunities · 01Control‑Theory Based Vehicle Dynamics
169 papers23.0% of this theme group
Opportunities explore advanced control and trajectory planning 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 Lane and Sign Detection
154 papers20.9% of this theme group
Research proposes convolutional networks for robust lane‑keeping, obstacle, and traffic‑sign recognition in autonomous driving.
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 Communications
149 papers20.2% of this theme group
Works develop secure networking and blockchain frameworks to protect connected autonomous vehicles and traffic data.
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
Studies improve object detection speed and accuracy using modern CNN architectures for on‑board vehicle perception.
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 Navigation
63 papers8.6% of this theme group
Papers apply deep reinforcement learning to enable autonomous vehicles to adaptively plan and avoid collisions.
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 Sensor Systems
57 papers7.7% of this theme group
Research advances ADAS technologies, including 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 Techniques for Classification
50 papers6.8% of this theme group
Studies introduce oversampling and pattern‑recognition methods to improve machine‑learning performance on imbalanced 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
