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Git repository to store the project tasks of the lecture "Vision Algorithm for Mobile Robots" at ETH Zurich.

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johanndiep/visual-odometry-pipeline

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This visual odometry framework has been composed using Matlab R2017a and run on a laptop using a quad-core Intel i7-4800MQ CPU @2.70GHz and 16GB RAM.

In order to run the code

  1. open main.m and specify the dataset you want to run by setting the variable "ds" accordingly (line 33)
  2. make sure you have a script named setPaths.m that defines the path where your dataset is located
  3. adjust parameters at the beginning of main.m if necessary
  4. run
  5. grab a coffee

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Git repository to store the project tasks of the lecture "Vision Algorithm for Mobile Robots" at ETH Zurich.

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