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Training / Education

Sensors and Perception for Autonomous Vehicle Development

2024-10-21
This 4-week virtual-only experience, conducted by leading experts in the autonomous vehicle industry and academia, provides an in-depth look at the most common sensor types used in autonomous vehicle applications. By reviewing the theory, working through examples, viewing sensor data, and programming movement of a turtlebot, you will develop a solid, hands-on understanding of the common sensors and data provided by each. This course consists of asynchronous videos you will work through at your own pace throughout each week, followed by a live-online synchronous experience each Friday. The videos are led by Dr.
Training / Education

Introduction to Highly Automated Vehicles

2024-09-23
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.
Training / Education

Autonomous Vehicle System and Control Architecture

2024-09-16
This 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).
Training / Education

Exploration of Machine Learning and Neural Networks for ADAS and L4 Vehicle Perception

2024-08-12
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. Unlike traditional rules-based approaches to coding intelligent systems, 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.
Event

Program - 2024 AeroTech

2024-07-23
Explore AeroTech's Key Tracks, Sessions, and Presentations on hot topics in the Aerospace industry.
Student

Formula SAE North

2024-07-23
May 30 - June 2, 2019 │ Barrie, ON, Canada │ Barrie Molson Centre

Equipment Suppliers - Formula SAE Knowledge

2024-07-23
The Formula SAE competitions challenge teams of university undergraduate and graduate students to conceive, design, fabricate, develop and compete with small, formula style vehicles.
Event

Program - 2024 AeroTech

2024-07-23
Explore AeroTech's Key Tracks, Sessions, and Presentations on hot topics in the Aerospace industry.
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