Parthiban Rajendran
Intro To Self Driving Cars
Intro To Self Driving Cars
2. Bayesian Thinking
1. Intuitive Approach to Bayes Theorem
2. Naive Bayes
3. Piece Wise Continuous Probability Distribution
4. Robot Localization
3. Working with Matrices
1. Simplest Kalman Filter Visualization
6. Navigating Data Structures
1. Introduction
2. BFS
3. BFS Contd
4. DFS
5. UCS
6. AStar
7. AStart Contd
8. Networkx
7. Vehicle Motion and Control
1. Understanding the Derivative more insights
2. Reconstructing Trajectories (own implementation) Part 1
3. Reconstructing Trajectories (own implementation) Part 2
8. Computer Vision and Classification
1. Final Project Traffic Light Classifier
Parthiban Rajendran
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Intro To Self Driving Cars
Intro To Self Driving Cars
It is compilation of my works on Udacity's
Intro to Self Driving Cars Nano Degree
online course.
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