Self-Driving Cars Specialization 2020-9

 Description

 Self-Driving Cars Specialization is a self-driving technology course. According to research and forecasts, the self-driving car industry will have a market value of approximately $ 42 million by 2025, and about 20 million self-driving cars will be on the road. This makes the specialty of making this type of car very popular in the future. This training course will give you a comprehensive understanding of the latest engineering methods in the automotive industry. In this tutorial, you will work with real data collected from a car and get acquainted with various application projects using the CARLA open source simulator.

In this course, you will learn training from a very realistic driving environment that has the ability to model 3D sidewalks and environmental conditions. After completing this training course, you will be able to make the necessary software for your car and apply for job opportunities in this industry. The use of various sensors, object recognition, localization, diversion and CARLA simulation features are among the topics of this course. It is recommended that you have a background in linear algebra, probability, statistics, physics, arithmetic, control theory, and Python programming to begin this course.

What do you learn:

• Understand the details of the architecture and various parts of the car software
• Implement methods for fixed and dynamic object detection, mapping, vehicle control and…
• Use of car sensors such as camera, GPS, odometer
• Skills of working with CARLA and building applications with Python
• And …

Specifications of  Self-Driving Cars Specialization :

• Publisher: Coursera
• Instructor: Steven Waslander, Jonathan Kelly
• English language
• Level of training: Advanced
• Number: 4 courses
• Course duration: with a suggested time of 5 hours per week, approximately 7 months

courses

1. Introduction to Self-Driving Cars
2. State Estimation and Localization for Self-Driving Cars
3. Visual Perception for Self-Driving Cars
4. Motion Planning for Self-Driving Cars

prerequisites

It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. The most important ones are familiarity with linear algebra, calculus, probability theory, and kinematic and dynamic modeling. Some exposure to computer vision, AI or robotics is also useful. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).