Videos and Webinars

视觉处理FPGA, Part 5: Hardware-Software Prototyping of a Lane Detection Design

从系列:视觉处理FPGA

Jack Erickson, MathWorks

Vision processing algorithms are compute-intensive to simulate. Once a design has been verified as much as possible with simulation, prototyping on an FPGA development kit allows for real-time processing of live video input. This example adds a hardware-software interface to the lane detection example and uses the Computer Vision Toolbox™ Support Package for Xilinx^®Zynq^®-Based Hardware to efficiently build a working prototype.

Learn how to:

• Use HDMI video input to Simulink^®
• Design hardware-software interface control functionality
• Generate HDL and software drivers with AXI4 interfaces
• Deploy software to a connected Xilinx Zynq device
• Run a prototype in external mode

Product Focus

Series:视觉处理FPGA

Part 1: Vision Processing FPGA and ASIC Hardware ConsiderationsLearn about some of the key factors to consider when targeting a vision processing algorithm to FPGA or ASIC hardware.

Part 2: Workflow from a Frame-Based Algorithm to a Pixel-Streaming ImplementationReuse MATLAB vision processing scripts and algorithms to verify a Simulink hardware implementation.

Part 3: Hardware Design of a Lane Detection AlgorithmLearn about the hardware implementation techniques used in the Vision HDL Toolbox lane detection example.

Part 4: Targeting a Lane Detection Design to a Xilinx Zynq DeviceGenerate optimized fixed-point HDL to target the lane detection example to FPGA fabric.

Part 5: Hardware-Software Prototyping of a Lane Detection DesignPrototype a hardware-software implementation of an automated driving application using the Computer Vision Toolbox Support Package for Xilinx Zynq-Based Hardware.

Request Vision HDL Toolbox Trial

Get HDL Coder Self-Guided Tutorial

Related Videos and Webinars

Computer Vision with MATLAB for Object Detection and...

Machine Learning and Computer Vision for Medical Imaging...

Machine Learning and Computer Vision for Biological Imaging...

Deep Learning for Computer Vision with MATLAB (Highlights)

Feature Detection, Extraction, and Matching with RANSAC

MATLAB 2012a: Face Detection

Computer Vision with MATLAB

Computer Vision Made Easy

What Is Computer Vision Toolbox?

Video Processing in MATLAB

Image and Video Processing with DSPs and FPGAs

Introduction to Kalman Filters for Object Tracking

Object Recognition and Tracking for Augmented Reality

Targeting a Corner Detection Design to FPGA Hardware

Corner Detection Design with Vision HDL Toolbox

What Is Vision HDL Toolbox?

Power Electronics and Motor Control Prototyping on CPU/FPGA...

Model-Based Design for DO-178C Software Development with...

Model-Based Design for DO-178C Software Development with...

Model-Based Design for DO-178C Software Development with...