English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 25h 56m | 7.17 GB
Self-driving cars are set to revolutionize the way we live. This is transformational technology, on the cutting-edge of robotics, machine learning, software engineering, and mechanical engineering. In this program, you’ll learn the skills and techniques used by self-driving car teams at the most advanced technology companies in the world.
Part 01 : Computer Vision and Deep Learning
In this term, you’ll become an expert in applying Computer Vision and Deep Learning on automotive problems. You will teach the car to detect lane lines, predict steering angle, and more all based on just camera data!
Part 02 : Sensor Fusion, Localization, and Control
In this term, you’ll learn how to use an array of sensor data to perceive the environment and control the vehicle. You’ll evaluate sensor data from camera, radar, lidar, and GPS, and use these in closed-loop controllers that actuate the vehicle.
Part 03 : Path Planning, Concentrations, and Systems
In this term, you’ll learn how to plan where the vehicle should go, how the vehicle systems work together to get it there, and you’ll perform a deep-dive into a concentration of your choice.
Part 04 (Career): Career: Job Search Strategies
Opportunity can come when you least expect it, so when your dream job comes along, you want to be ready. In the following lessons, you will learn strategies for conducting a successful job search, including developing a targeted resume and cover letter for that job.
Part 05 (Career): Career: Networking
Networking is a very important component to a successful job search. In the following lesson, you will learn how tell your unique story to recruiters in a succinct and professional but relatable way.
Part 06 (Career): Career: Technical Interview
Learn the skills technical interviewers expect you to know—efficiency, common algorithms, manipulating popular data structures, and how to explain a solution.
Table of Contents
1 Welcome
2 Workspaces
3 Computer Vision Fundamentals
4 Finding Lane Lines Project
5 Career Services Available to You
6 Introduction to Neural Networks
7 MiniFlow
8 Introduction to TensorFlow
9 Deep Neural Networks
10 Convolutional Neural Networks
11 LeNet for Traffic Signs
12 Traffic Sign Classifier Project
13 Keras
14 Transfer Learning
15 Behavioral Cloning Project
16 Camera Calibration
17 Gradients and Color Spaces
18 Advanced Techniques for Lane Finding
19 Advanced Lane Finding Project
20 Machine Learning and Stanley
21 Support Vector Machines
22 Decision Trees
23 Object Detection
24 Vehicle Detection and Tracking Project
25 The End
26 Get Ready for Term 2 C
27 Welcome
28 Introduction and Sensors
29 Kalman Filters
30 C Checkpoint
31 Lidar and Radar Fusion with Kalman Filters in C
32 Extended Kalman Filter Project
33 Unscented Kalman Filters
34 Unscented Kalman Filter Project
35 Introduction to Localization
36 Localization Overview
37 Markov Localization
38 Motion Models
39 Particle Filters
40 Implementation of a Particle Filter
41 Kidnapped Vehicle Project
42 PID Control
43 PID Controller Project
44 Vehicle Models
45 Model Predictive Control
46 Model Predictive Control Project
47 The End
48 Geometry and Trigonometry Refresher
49 Welcome
50 Search
51 Prediction
52 Behavior Planning
53 Trajectory Generation
54 Path Planning Project
55 Coming Up Electives
56 Elective Advanced Deep Learning
57 Fully Convolutional Networks
58 Scene Understanding
59 Inference Performance
60 Semantic Segmentation Project
61 Elective Functional Safety
62 Introduction to Functional Safety
63 Functional Safety Safety Plan
64 Functional Safety Hazard Analysis and Risk Assessment
65 Functional Safety Functional Safety Concept
66 Functional Safety Technical Safety Concept
67 Functional Safety at the Software and Hardware Levels
68 Elective Project Functional Safety
69 Autonomous Vehicle Architecture
70 Introduction to ROS
71 Packages Catkin Workspaces
72 Writing ROS Nodes
73 System Integration Project
74 Completing the Program
75 Conduct a Job Search
76 Refine Your Entry-Level Resume
77 Refine Your Career Change Resume
78 Refine Your Prior Industry Experience Resume
79 Craft Your Cover Letter
80 Develop Your Personal Brand
81 LinkedIn Review
82 Udacity Professional Profile Review
83 GitHub Profile Review
84 Introduction and Efficiency
85 List-Based Collections
86 Searching and Sorting
87 Maps and Hashing
88 Trees
89 Graphs
90 Case Studies in Algorithms
91 Technical Interviewing Techniques
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