Sensor Fusion Engineer, co-created with Mercedes-Benz
Perception, Lidar, Lidar Obstacle Detection, Lidar Data Processing, Filtering, Segmentation, Clustering, Radar, Radar Obstacle Detection, Velocity Distortions, Noise, Occlusions, Sensors, Computer Vision, Fuse camera, Lidar Data, Camera and Lidar Fusion, Kalman Filters, Unscented Kalman Filters, Tracking Nonlinear Movement
ABOUT THIS NANODEGREE
During Sensor Fusion Course, you will learn how to detect obstacles in LIDAR point clouds. You will track objects using segmentation and clustering.
The program will teach you the skills that most engineers learn on-the-job. It’s very hands-on so after completing the course, you have a chance to start your career in self-driving cars or robotics. This program will provide you with extensive knowledge of sensors like radar, cameras, and LIDAR, as well as all types of robots. At the end of the course, you will have a nice portfolio of projects. A very important part of this course is also Kalman filters. You will try to build extended and unscented Kalman filters for tracking nonlinear movement.
The course takes around 4 months to complete. If you want to enroll, you need some C++ knowledge, as well as experience with probability, calculus, and linear algebra.
SENSOR FUSION ENGINEER NANODEGREE BENEFITS
Sensor fusion engineering is one of the most essential and exciting fields of robotics.
This Sensor Fusion Course will teach you the skills that most engineers learn on the job or in graduate studies: how to fuse data from numerous sensors to monitor nonlinear motion and objects in the environment. Self-driving cars, drones, and other sorts of robots use sensors like cameras, radar, and lidar to detect their environment. Analyzing and combining this data is critical to the development of an autonomous system.
In this Nanodegree program, you will identify and track cars and pedestrians using camera pictures, radar signatures, and lidar point clouds. You will have an excellent portfolio of projects to show companies by the time you graduate. Use the skills you gain in this program to pursue a career in robotics and self-driving vehicles.
WHAT JOBS WILL THIS PROGRAM PREPARE YOU FOR?
As a Sensor Fusion Engineer, you’ll be capable of contributing to a range of industries and be qualified for a variety of positions.
Roles like these might be available to you:
- Imaging Engineer
- Sensor Fusion Engineer
- Perception Engineer
- Automated Vehicle Engineer
- Research Engineer
- Self-Driving Car Engineer
- Object Tracking Engineer
- Sensor Engineer
- System Integration Engineer
- Depth Engineer
WHO IS THIS PROGRAM FOR?
This program is for you if you want to learn about lidar, radar, and camera data and how to combine it.
Sensors and sensor data are applied in a wide range of applications, from mobile phones to robotics and self-driving cars, allowing you to pursue a career in a variety of industries after completing this program.
PREREQUISITES FOR INTRO TO SELF DRIVING CAR NANODEGREE
To improve your chances of success in the Sensor Fusion Engineer Nanodegree programme, we’ve created a list of prerequisites and suggestions to help you prepare for the programme curriculum. You should be familiar with the following topics:
- Knowledge of any object-oriented programming language, especially C++
- Intermediate Probability
- Intermediate Calculus
- Intermediate Linear Algebra
- Fundamentals of Linux Command Lines
What should I do if I don’t meet the enrollment requirements?
We’ve designed the Introduction to Self-Driving Cars Nanodegree Program to help aspiring sensor fusion engineers who have little experience in programming or math. This curriculum instructs students in C++, linear algebra, calculus, and statistics.
If you have little programming experience, we designed the C++ Nanodegree Program to assist you to prepare for the coding in this program.
Top Sensor Fusion Engineers in the US make an average of $149k!
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