Explore MATLAB source code curated for "车辆" with clean implementations, documentation, and examples.
The NS cellular automaton implements rule-based simulation for traffic flow modeling. It provides a closed-loop system where vehicles circulate continuously, suitable for road traffic simulations with configurable parameters for vehicle behavior and road conditions.
Research on high-speed vehicle integrated navigation focuses primarily on Kalman filtering and Extended Kalman filtering algorithms
Application Background: This project implements vehicle detection and tracking in video sequences, where detection results are marked with red bounding boxes and tracking results with green bounding boxes. The code includes a series of motion vehicle frame images. Key Technologies: Vehicle detection utilizes background subtraction method with average background updating, while tracking employs Kalman filtering. The implementation features detailed code explanations with detection and tracking results visually distinguished by colored bounding boxes.
Vehicle counting in video streams using computer vision techniques
This program utilizes system objects to demonstrate vehicle detection and tracking techniques in video sequences through optical flow estimation, highlighting practical implementation with MATLAB's Computer Vision Toolbox functions.
Automotive dynamics analysis program featuring comprehensive vehicle modeling, suitable for automotive, aerospace, and power engineering applications. Serves as an exemplary MATLAB GUI programming demonstration with modular code structure and interactive visualization components.
This model simulates a vehicle navigating a virtual road environment and controls its trajectory through fuzzy logic algorithms