MATLAB provides the tools you need to transform your ideas into algorithms, including: Thousands of core mathematical, engineering, and scientific functions; Application-specific algorithms in domains such as signal and image processing, control design, computational finance, and computational biology

Sep 7, 2012 · MATLAB provides built-in algorithms for signal processing and communications, image and video processing, control systems, and many other domains. Here, we're using a function from Image Processing Toolbox™ to identify and measure properties of connected regions in an image.

Create advanced computing features for data analysis, parallel computing, signal processing, algorithm development, embedded systems, code generation, control design automation, and more.

Features targeting field-oriented control algorithm into Altera’s Drive-on-a-Chip Reference Design

MATLAB provides tools for developing perception algorithms from camera, radar, and lidar data. You can develop algorithms using computer vision, deep learning, radar and lidar processing, and sensor fusion.

Tools such as MATLAB® and Simulink® offer engineers the support needed in an iterative environment. While algorithms and prebuilt models are a good start, they’re not the complete picture. Engineers learn how to use these algorithms and find the best approach for their specific problem by using examples.

May 7, 2023 · See how engineers use MATLAB, Simulink, and RoadRunner to design, develop, and validate autonomous driving systems. Simulation can aid in left shifting the development and validation activities for ADAS/AD.

Oct 14, 2014 · Learn how you can use MATLAB to transform your ideas into algorithms. The MATLAB environment combines all the tools and functionality that you need to rapidly develop, test, and analyze design concepts and methods, allowing you to …

Simulate large-scale system models with reusable components and libraries including specialized, third-party modeling tools; Deploy simulation models for desktop, real-time, and Hardware-in-the-Loop testing; Run large simulations on multicore desktops, clusters, and the cloud

•Design, development, and validation of complex AD ADAS algorithms are critical: Vehicle occupants’ safety •Model based design using MathWorks solutions can ease the process •The left shifting using virtual validation: early bugs, cost efficient, early time to market •MathWorks solutions for design, development, simulation, and virtual