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I would like to use the Autonomous Driving Toolbox in Matlab. But I prefer to know more abou it before I buy it. For instance, is it possible to customize some modules in the toolbox with some different algorithms than the default? For example, in the motion planning section of the toolbox, there's only one planner module provided by Matlab called "pathPlannerRRT" which implements the RRT algorithm for path planning, is it possible to create another customized planner with another or self-designed algorithm?
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I surf the web for HOF implementation in matlab or openCV. Actually I wanted to know how to write their code in matlab. I learned something from the link bellow about HOG but I cannot find the same proper link for HOF or MBH. Is there any syntax for HOF in openCV?
http://www.learnopencv.com/histogram-of-oriented-gradients/
I dont know about OpenCV, but find matlab implementations here.
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I would like to perform system identification on a MIMO (multiple input, multiple output) system in Matlab. Are there any functions or toolboxes available to do this?
Is it possible to perform system identification on a MIMO (multiple input, multiple output) system in Matlab?
Yes.
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What is the best way to implement group algebra using Matlab. More specifically, I only want to work with permutation groups (and their subgroups) but would like a way to find kernels and cosets without coding a brute force version myself.
GAP is a 'System for Computational Discrete Algebra' and is able to do all the things requested in the question.
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My Simulink model:
Is it possible to print this graph without scope (in matlab code)?
Yes, you can save the data to the workspace using a To Workspace block and plot it after the simulation has finished using standard MATLAB code. Plenty more options in the doc under Visualize Results.
Rightklick on a Signal->Create connected viewer->Floating scope.
If you need more advanced techniques, check the documentation examples about signal logging and signal inspection.
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I have tried manual detection using LS polynomial fitting here. But that cannot be used in my project as mine has to be a fully automated system.
Take a look at the Scale-Invariant Feature Transform, or SIFT. This video explains it well. You "train" a detector with one or more images of eyelids, and the detector locates similar regions in the input images. It's the de facto general purpose feature detector - although more specialized tools like face detectors are faster.
The "Scale-Invariant" part means that it can detect the same object at different sizes and rotations.