Year of release: 2017
Manufacturer: Udacity
Posted by: Udacity
Duration: 25:56:29
Type of handing out material: Multimedia disc
English language
If your goal is to learn the skills necessary to become a self-driving car engineer, and then secure a rewarding role in the field where you can start applying those skills, this program is the ideal choice. The Self-Driving Car Engineer Nanodegree program is one of the only programs in the world that both teaches you the right skills, and supports you in obtaining a job.
Through interactive projects in computer vision, robotic controls, localization, path planning, and more, you’ll prepare for a successful career in the incredible field of autonomous systems.
Part 01-Module 01-Lesson 01_Welcome
Part 01-Module 01-Lesson 02_Workspaces
Part 01-Module 01-Lesson 03_Computer Vision Fundamentals
Part 01-Module 01-Lesson 04_Finding Lane Lines Project
Part 01-Module 02-Lesson 01_Career Services Available to You
Part 01-Module 03-Lesson 01_Introduction to Neural Networks
Part 01-Module 03-Lesson 02_MiniFlow
Part 01-Module 03-Lesson 03_Introduction to TensorFlow
Part 01-Module 03-Lesson 04_Deep Neural Networks
Part 01-Module 03-Lesson 05_Convolutional Neural Networks
Part 01-Module 03-Lesson 06_LeNet for Traffic Signs
Part 01-Module 03-Lesson 07_Traffic Sign Classifier Project
Part 01-Module 03-Lesson 08_Keras
Part 01-Module 03-Lesson 09_Transfer Learning
Part 01-Module 03-Lesson 10_Behavioral Cloning Project
Part 01-Module 04-Lesson 01_Camera Calibration
Part 01-Module 04-Lesson 02_Gradients and Color Spaces
Part 01-Module 04-Lesson 03_Advanced Techniques for Lane Finding
Part 01-Module 04-Lesson 04_Advanced Lane Finding Project
Part 01-Module 04-Lesson 05_Machine Learning and Stanley
Part 01-Module 04-Lesson 06_Support Vector Machines
Part 01-Module 04-Lesson 07_Decision Trees
Part 01-Module 04-Lesson 08_Object Detection
Part 01-Module 04-Lesson 09_Vehicle Detection and Tracking Project
Part 01-Module 04-Lesson 10_The End
Part 01-Module 05-Lesson 01_Get Ready for Term 2 C++
Part 02-Module 01-Lesson 01_Welcome
Part 02-Module 02-Lesson 01_Introduction and Sensors
Part 02-Module 02-Lesson 02_Kalman Filters
Part 02-Module 02-Lesson 03_C++ Checkpoint
Part 02-Module 02-Lesson 04_Lidar and Radar Fusion with Kalman Filters in C++
Part 02-Module 02-Lesson 05_Extended Kalman Filter Project
Part 02-Module 02-Lesson 06_Unscented Kalman Filters
Part 02-Module 02-Lesson 07_Unscented Kalman Filter Project
Part 02-Module 03-Lesson 01_Introduction to Localization
Part 02-Module 03-Lesson 02_Localization Overview
Part 02-Module 03-Lesson 03_Markov Localization
Part 02-Module 03-Lesson 04_Motion Models
Part 02-Module 03-Lesson 05_Particle Filters
Part 02-Module 03-Lesson 06_Implementation of a Particle Filter
Part 02-Module 03-Lesson 07_Kidnapped Vehicle Project
Part 02-Module 04-Lesson 01_PID Control
Part 02-Module 04-Lesson 02_PID Controller Project
Part 02-Module 04-Lesson 03_Vehicle Models
Part 02-Module 04-Lesson 04_Model Predictive Control
Part 02-Module 04-Lesson 05_Model Predictive Control Project
Part 02-Module 04-Lesson 06_The End
Part 02-Module 05-Lesson 01_Geometry and Trigonometry Refresher
Part 03-Module 01-Lesson 01_Welcome
Part 03-Module 02-Lesson 01_Search
Part 03-Module 02-Lesson 02_Prediction
Part 03-Module 02-Lesson 03_Behavior Planning
Part 03-Module 02-Lesson 04_Trajectory Generation
Part 03-Module 02-Lesson 05_Path Planning Project
Part 03-Module 02-Lesson 06_Coming Up Electives
Part 03-Module 03-Lesson 01_Elective Advanced Deep Learning
Part 03-Module 03-Lesson 02_Fully Convolutional Networks
Part 03-Module 03-Lesson 03_Scene Understanding
Part 03-Module 03-Lesson 04_Inference Performance
Part 03-Module 03-Lesson 05_Semantic Segmentation Project
Part 03-Module 04-Lesson 01_Elective Functional Safety
Part 03-Module 04-Lesson 02_Introduction to Functional Safety
Part 03-Module 04-Lesson 03_Functional Safety Safety Plan
Part 03-Module 04-Lesson 04_Functional Safety Hazard Analysis and Risk Assessment
Part 03-Module 04-Lesson 05_Functional Safety Functional Safety Concept
Part 03-Module 04-Lesson 06_Functional Safety Technical Safety Concept
Part 03-Module 04-Lesson 07_Functional Safety at the Software and Hardware Levels
Part 03-Module 04-Lesson 08_Elective Project Functional Safety
Part 03-Module 05-Lesson 01_Autonomous Vehicle Architecture
Part 03-Module 05-Lesson 02_Introduction to ROS
Part 03-Module 05-Lesson 03_Packages & Catkin Workspaces
Part 03-Module 05-Lesson 04_Writing ROS Nodes
Part 03-Module 05-Lesson 05_System Integration Project
Part 03-Module 06-Lesson 01_Completing the Program
Part 04-Module 01-Lesson 01_Conduct a Job Search
Part 04-Module 02-Lesson 01_Refine Your Entry-Level Resume
Part 04-Module 02-Lesson 02_Refine Your Career Change Resume
Part 04-Module 02-Lesson 03_Refine Your Prior Industry Experience Resume
Part 04-Module 03-Lesson 01_Craft Your Cover Letter
Part 05-Module 01-Lesson 01_Develop Your Personal Brand
Part 05-Module 01-Lesson 02_LinkedIn Review
Part 05-Module 01-Lesson 03_Udacity Professional Profile Review
Part 05-Module 02-Lesson 01_GitHub Profile Review
Part 06-Module 01-Lesson 01_Introduction and Efficiency
Part 06-Module 01-Lesson 02_List-Based Collections
Part 06-Module 01-Lesson 03_Searching and Sorting
Part 06-Module 01-Lesson 04_Maps and Hashing
Part 06-Module 01-Lesson 05_Trees
Part 06-Module 01-Lesson 06_Graphs
Part 06-Module 01-Lesson 07_Case Studies in Algorithms
Part 06-Module 01-Lesson 08_Technical Interviewing Techniques
https://www.udacity.com/course/self-driving-car-engineer-nanodegree--nd013
Download File Size:7.06 GB
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