Featured Courses
Live Online | C2402Autonomous Vehicle System and Control ArchitectureAutonomous Vehicle System and Control ArchitectureThis 4-week virtual-only experience is conducted by leading experts in the autonomous vehicle industry and academia. You’ll develop an understanding of the fundamentals of AV architecture, including mechatronics, kinematics, and the sense-think-act framework in autonomous systems. The course builds a connection for how robotics are used in autonomous vehicles and provides you with demonstrations, procedures, and the skills necessary to program a robot with basic commands using the Robot Operating System (ROS).Register Now!
Live Online | In Person | C2206Vehicle Architecture for Hybrid, Electric, Automated, and Shared Vehicle DesignThis virtual instructor-led course enables participants to fully comprehend vehicle architectural and configurational design requirements to enable efficient structural design, effective packaging of required components, and efficient vehicle performance for shared and autonomous operation. In-class projects will enable participants to gain practical experience in applying gained knowledge of efficient electric and hybrid vehicle component integration imperatives.Register Now!Upcoming Courses
Live Online | In Person | C2205
Exploration of Machine Learning and Neural Networks for ADAS and L4 Vehicle Perception
Convolutional neural networks are the de facto method of processing camera, radar, and lidar data for use in perception in ADAS and L4 vehicles, yet their operation is a black box to many engineers. Neural networks are trained, and the internal structure created during the training process is too complex to be understood by humans, yet in operation networks are able to classify objects of interest at error rates better than rates achieved by humans viewing the same input data. In this course, you’ll examine an existing convolutional network to understand how it is constructed and trained, and then, using open-source Python tools, you’ll create your own convolutional neural network. You’ll train your network using a supplied training dataset and then test your networks performance.Live Online | In Person | C2206
Vehicle Architecture for Hybrid, Electric, Automated, and Shared Vehicle Design
Electric and hybrid vehicle engineers and designers are faced with the important issue of how to adequately configure required powertrain system components to achieve needed performance, occupant accommodation, and operational objectives. This course enables participants to fully comprehend vehicle architectural/configurational design requirements to enable efficient structural design, effective packaging of required components, and efficient vehicle performance for shared and autonomous operation. The importance of integrating these design requirements with specific vehicle user needs and expectations will be emphasized. In-class individual and group projects will enable participants to gain practical experience in applying gained knowledge of efficient electric and hybrid vehicle component packaging strategies.Live Online | In Person | C1603
Introduction to Highly Automated Vehicles
This course highlights the technologies enabling ADAS and how they integrate with existing passive occupant crash protection systems, how ADAS functions perceive the world, make decisions, and either warn drivers or actively intervene in controlling the vehicle to avoid or mitigate crashes. Examples of current and future ADAS functions and various sensors utilized in ADAS, including their operation and limitations, and sample algorithms, will be discussed and demonstrated. The course utilizes a combination of hands-on activities, including computer simulations, discussion, and lecture.Live Online | C2403
Sensors and Perception for Autonomous Vehicle Development
Take an in-depth look at the most common sensor data used in autonomous vehicle applications, including basic LIDAR, Automatic Emergency Braking (AEB), and object detection. By reviewing the theory, working through examples, and programming movement of a TurtleBot, you’ll develop a solid, hands-on understanding of the common sensors and the data they provide. Key technologies covered in the course include: sensors, LIDAR, programming, lane-keeping, neural networks, ROS, and YOLO v3.eLearning Courses
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Complete this form to start the conversation, or contact sales at: +1.888.875.3976 or +1.724.772.4086 (Outside the U.S. and Canada)
Complete this form to start the conversation, or contact sales at: +1.888.875.3976 or +1.724.772.4086 (Outside the U.S. and Canada)