Download Coursera – Self-Driving Cars Specialization 2022-5

Description

Self-Driving Cars Specialization Technology training course Self-driving cars Is . According to research and forecasts, the self-driving car industry will have a market worth approximately 42 million dollars by 2025, and about 20 million self-driving cars will be on the roads. This makes the specialty of making these types of cars very popular in the future. This training course will give you a comprehensive understanding of the latest engineering methods in the self-driving car industry. During this training, you will work with real data collected from a self-driving car and you will get to know several practical projects using the open source simulator CARLA.

In this course, you will learn 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 create the necessary software for self-driving cars and apply for job opportunities in this industry. The use of different sensors, recognition of various objects, localization, change of direction and CARLA simulator features are among the topics of this course. It is suggested that you have a background of linear algebra, probability, statistics, physics, calculations, control theory and Python programming to start this course.

What you will learn in the Self-Driving Cars Specialization training course:

Understanding the architectural details and different parts of the autonomous car software
Implementation of methods for static and dynamic object detection, mapping, vehicle control, etc.
Using car sensors such as camera, GPS, odometer
Ability to work with CARLA and create programs with Python
And …

Specifications of the training set Self-Driving Cars Specialization :

Publisher: Coursera
Instructor: Steven Waslander, Jonathan Kelly
English language
Education level: Advanced
Number: 4 courses
Duration of the course: with a suggested time of 5 hours per week, approximately 7 months

courses

Introduction to Self-Driving Cars
State Estimation and Localization for Self-Driving Cars
Visual Perception for Self-Driving Cars
Motion Planning for Self-Driving Cars

Prerequisites of the Self-Driving Cars Specialization training set

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).