Get autonomous vehicle technology training from IEEE. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. These courses are designed to help engineers stay up-to-date on the latest technologies. Produced and vetted by leading experts, you can count on IEEE Continuing and Professional Education courses to equip you with the information you need to stay current in your field.
IEEE Guide to Autonomous Vehicle Technology
Rapidly developing automated vehicle technologies promise to improve driving safety. While these advanced technologies offer potential benefits to drivers, uncertainty remains about efficacy and usability when users interact with these systems. This course program is designed to provide up-to-date knowledge that will be required to continue innovations in the automotive industry. Prepare your team to help usher in the new generation of autonomous vehicles.
This seven-course autonomous vehicle training program covers the following topics:
- Cooperation in Autonomous Vehicles
- Developing and Validating Control Systems for Connected and Automated Vehicles
- Human Factors in Vehicle Automation
- Intelligent Control of Connected and Automated Vehicles
- Object Visual Detection for Intelligent Vehicles
- Object Visual Recognition for Intelligent Vehicles
- Sensors for Autonomous Vehicles
These courses are intended for professionals in the automotive industry and related fields who are looking to enhance their knowledge and stay current in the field of autonomous vehicles.
Upon successful completion of IEEE Guide to Autonomous Vehicle Technology course program, your engineers will receive valuable CEUs/PDHs from IEEE that can be used to maintain engineering licenses.
Meet the Instructors
IEEE has partnered with some of the top experts in vehicular technologies, connected cars, and wireless communications.
Nasser Lashgarian Azad
Course Program Details
The IEEE Guide to Autonomous Vehicle Technology online training program includes the following courses:
Cooperation in Autonomous Vehicles
Explore how real-time decision making is performed by autonomous vehicles, especially when they cooperate with each other, in complex environments such as intersections and lane-changing operations.
Developing and Validating Intelligent Vehicle Control Systems
Learn how to model and evaluate performance of intelligent vehicle control algorithms using state-of-the-art techniques and concepts, especially in real-world conditions.
Human Factors in Vehicle Automation
Consider the background concepts of human factors along with the related key issues in automated vehicle technology development while discovering potential methods and tools.
Intelligent Control of Connected and Automated Vehicles
Understand cooperative adaptive cruise control (CACC) for connected and automated vehicles, and explore recent developments made in human-centered CACC design in mixed traffic scenarios.
Object Visual Detection for Intelligent Vehicles
Examine visual objects categorization with standard machine learning algorithms and other deep learning approaches. Consider the motivations for visual objects detection and recognition in intelligent vehicles, and methods for objects visual detection, or to find where important objects are in the image.
Object Visual Recognition for Intelligent Vehicles
Review the motivations and methods for visual objects recognition. Focus on machine learning and machine learning algorithms. Consider deep-learning approaches for visual objects detection, recognition, and categorization.
Sensors for Autonomous Vehicles
Learn the role of sensors in an AV system, properly identify typical sensors used in an autonomous vehicle, and assess the benefits and drawbacks of different sensing modalities.