Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.
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Learn Sensor fusion engineering is one of the most important and exciting areas of robotics. The Sensor Fusion Engineer program will teach you the skills - how to fuse data from multiple sensors to track non-linear motion and objects in the environment. Apply the skills you learn in this program to a career in robotics, self-driving cars, and much more.
In this program, you will work with camera images, radar signatures, and lidar point clouds to detect and track vehicles and pedestrians. Upon completion, you will have an impressive portfolio of projects to demonstrate your skills to employers.
If you’re interested in learning about lidar, radar, and camera data and how to fuse it together, this program is right for you. Sensors and sensor data are used in a wide array of applications -- from cell phones to robots and self-driving cars -- giving you a wide array of fields you could enter or advance a career in after this program.
As a Sensor Fusion Engineer, you'll be equipped to bring value to a wide array of industries and be eligible for many roles.
Your opportunities might include roles such as an:
You should have intermediate C++ knowledge, and be familiar with calculus, probability, and linear algebra.
The trainer for this Become a Sensor Fusion Engineer Training has extensive experience in this domain, including years of experience training & mentoring professionals.
Combine and filter lidar, radar, and camera data to detect and track vehicles and pedestrians.
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