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Computing and Simulation for Autonomy

Repository contains work that I did during Fall 21 semester in AuE8930: Computing Simulation For Autonomy

Homework 1

  1. Training a Pytorch deep learning model on Palmetto cluster (High-Performance Computing)

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  1. Training deep learning model for Image Classification

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Homework 2

  1. Python Programming Exercise
  2. C++ Programming Exercise

Homework 3

  1. Object Oriented Programming
  2. Algorithms
  3. Data Structures
  4. Numpy and OpenCV library
  5. A* path searching algorithm - Occupancy gridmap-based and Quadtree map-based
  6. Dijkstra path searching algorithm - Occupancy gridmap-based and Quadtree map-based

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Homework 4

  1. Parallel computation using PyCUDA
  2. Image Processing With PyCUDA
  3. Multithreading in Python

Homework 5

  1. Writing script that controls a (simulated) robot using ROS

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