Become proficient in key Sensor Fusion concepts such as fusing Lidar point clouds, signatures from radars, and track vehicles using Kalman filters.
The supply of professionals with advanced sensor fusion skills has remained behind the demand expressed by the industry. Hence, an investment in this Nanodegree program will set you up in the league of candidates that are in short supply, and therefore very likely to find economically and professionally rewarding packages in the global value chain.
This program revolves around 4 uniquely curated, industrial robotics projects that test the most relevant problem statements of this industry. Thus, once you brainstorm through these wholesome, exciting, and complex scenarios, you would come out on the other side having answered a lot of the questions prospective recruiting companies look for, in their candidates.
Typically, studying for 10 hours a week, a student is able to graduate from this program in 4 months. For those who have limited background in one of the prerequisites, candidates should consider the Intro to Self-driving Cars Nanodegree program. This will help them in laying foundation so that you can enroll for this program thereafter.
The fees for the course Sensor Fusion Engineer is -
Yes
Udacity
The Sensor Fusion Engineer Nanodegree program is apt for professionals aspiring to learn about radar, lidar, and camera data, to subsequently fuse it together for real-world application. Professionals with the following capabilities are likely to gain the most from this course:
Work experience
The program needs no work experience, and is thus open for all.
Education
For the best learning experience, it is advisable to have working knowledge of C++ or an equivalent programming language based on the principles of an Object Oriented setup. Additionally, it would be very desirable to have the basics of probabilities, calculus, and linear algebra to be in place.
Certification qualifying details
The program requires the students to clear the projects associated with all the 4 modules to be duly cleared in order to graduate. Whenever a submission is made, it will be evaluated by the designated faculty and relevant feedback be provided. The submissions not clearing in the first attempt will need to be re-attempted till they match the minimum standards.
Upon graduating from the Sensor Fusion Engineer Nanodegree program, the participants will learn these concepts:
The enrolment steps for the Sensor Fusion Engineer Nanodegree program are:
Enrolment
This Nanodegree program comes with a free trial that can be availed by all users. You can access this from the course page by signing in with your Google or Facebook account. For others, please proceed with signing up with a new account.
Payment
The standard accessibility of 4 months comes in-built with the tuition fee of $1356 USD. Moreover, it will be charged to your preferred banking route only after the first 7 days of the free trial. Moving on, if the candidate hasn’t cleared all the requisite papers within the 4-month period, the cost for each subsequent is $399 USD. This will be applicable till the student clears all the projects to the standards deemed fit.
LMS
The LMS access is the last step in the chain of events. This is made available within a few minutes of the receipt of payment by us.
As of now, there is no provision for a scholarship. However, depending on if you pay upfront or as you go, the total price will incur a discount of 15%.
The Nanodegree is offered when all assignments at the end of each module are cleared by the students. This leads to the access to the next module.
The founding stones of the program are designed based on thorough primary market research. The elements being offered and their depth has been taken from the most employable skills that have demand in today’s job market.
Real world projects are ingrained very well into the Robotics Software Engineer Nanodegree Program. All the 4 modules have been curated by industry experts to give participants confidence for having immersed in it.
Mr David Silver Lead Udacity
Other Bachelors, MBA
Mr Stephen Welch Instructor Udacity
Ph.D
Mr Andreas Haja Professor Freelancer
Mr Abdullah Zaidi Instructor UMD
M.S
Mr Aaron Brown Instructor Freelancer
Following is the course faculty:
No, the objectives of the program have been laid out. Please evaluate if those match with your professional goals and proceed to enroll.
The approach to the Learning Management System is made available on receipt of the payment towards the course fee. Thus, the course commencement depends on the candidate.
Over the 4-month access, it is envisaged that the students should be able to graduate from this Nanodegree program. Should there be a need to extend, the same can be done by paying a monthly fee.
Absolutely, a department of technical experts will be assigned to your batch for any and all product support that may be sought from you. Their contact mechanism will be explained after on-boarding is completed.
Measures are in place to widen the professional network for our students through strategic networking events from global leaders. Moreover, in-depth interview preparation in-person as well telephonically will be made available.
Following are some common job profiles: Sensor Fusion Engineer, Automated Vehicle Engineer, Self-driving car engineer, System integration engineer, Perception engineer, Imaging engineer, and Object tracking engineer.
Yes, the course preview can be accessed from the homepage of the Nanodegree program.
As the coding will be done on our virtual machines through the browsers, you wouldn’t need to install anything on your own computer. However, if you would like to complete projects on your machine, please install C++ version 11 and Point Cloud Library 1.7. Guidance will be given on how and where to get these from.
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