This repo will contains the my lecture notes of Udacity Fundamentals Of Self Driving Car. After finishing that trainee i will write a very detailed summary notes about course for me and whose interested.
Through this course, you will be able to identify key parts of self-driving cars and get to know Apollo architecture. You will be able to utilize Apollo HD Map, localization, perception, prediction, planning and control, and start the learning path of building a self-driving car. [1]
1- Welcome
2- HD-Maps
3- Localization
4- Perception
5- Prediction
6- Planning
7- Control
Identify the key parts of the self-driving cars and get know the Apollo teams and architecture.
High-Definition maps underpin almost every other part of the software stack.
How the vehicles localizes itself with single-digit centimeter-level accuracy.
Identify different perception tasks such as classification, detection, and segmentation. Also, about convolutional networks, which are critical to perception.
Notes gonna come here
Notes gonna come here
Notes gonna come here
[1] It's from the Udacity's course page which is : https://www.udacity.com/course/self-driving-car-fundamentals-featuring-apollo--ud0419