Coursera – Autonomous Vehicle Specialization 2022-5 – Download

explanation

Self-driving car specialization This is an automotive technology training course. According to studies and forecasts, the automotive industry will be worth about $442 million by 2025, with about 20 million cars on the road. This makes these types of cars a specialty that will make them very glamorous in the future. This course will provide you with a comprehensive understanding of the latest engineering methods in the automotive industry. During this training, you will be able to work on a variety of project applications with real data collected from cars and will become familiar with the use of the open source CARLA simulator.

In this course, you will be taught in a highly realistic driving environment where three-dimensional sidewalk and environmental conditions can be modeled. After completing this training, you will be able to create software for cars and apply for job opportunities in this industry. The use of various sensors, detection of various objects, localization, reorientation and the Carla simulator facility are topics of this course. To begin this course, we recommend that you have a background in linear algebra, probability, statistics, physics, accounting, control theory, and Python programming.

Here’s what you’ll learn in the self-driving car specialty:

Understand the architectural details and various parts of automotive software
Implements methods for stationary and dynamic object detection, mapping, vehicle control, and more.
Use car sensors such as camera, GPS, and odometer.
Skills for working with CARLA and planning with Python
and…

Self-driving car specialized specifications

publisher: Coursera
Instructors: Stephen Waslander, Jonathan Kelly
Language:English
Training level: advanced
Quantity: 4 courses
Course Duration: The suggested duration is 5 hours per week, approximately 7 months.

procedure

Introduction to self-driving cars
State estimation and location determination of autonomous vehicles
Visual perception for self-driving cars
Motion planning for autonomous vehicles

Autonomous vehicle specialization prerequisites

A background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming is recommended. The most important thing is knowledge of linear algebra, calculus, probability theory, kinematics and dynamic modeling. Exposure to computer vision, AI, or robotics is also useful. The CARLA simulator requires the following specifications to run effectively: Windows 7 64-bit (or higher) or Ubuntu 16.04 (or higher), quad-core Intel or AMD processor (2.5 GHz or higher), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or higher (Linux computer In the case of).