Overview
The Sensor Fusion programme at Udacity covers lidar, radar, camera, and Kalman filters, and includes lessons on working with real-world data, filtering, segmentation, clustering, and object tracking. In addition, students will work on a capstone project that involves building a complete sensor fusion pipeline for autonomous vehicles.
Upon completing the program, graduates will have the skills and knowledge necessary to design and implement sensor fusion systems for self-driving cars.
Nanodegree Skills
- Lidar Obstacle Detection
Point clouds • Point cloud data • Ransac algorithm • Curve fitting • Object clustering • K-d trees • Point cloud library • Lidar visualization • Lidar • Lidar data representation • Lidar simulator • Euclidean clustering • Bounding boxes
- Camera
Sensor fusion • Digital cameras • Digital image keypoint descriptors • Object tracking • Sift algorithm • Autonomous vehicle fluency • Sae j3016 levels of driving automation standard • Autonomous vehicle sensor selection • Object motion models • Computer vision image filtering • Image gradient calculation • Object detection • Yolo algorithm • Digital image keypoints • Computer vision image transformations • Lidar measurement models • Harris detector • Camera measurement models • Feature detection • Collision detection • Opencv
- Radar
Radar • Radar clutter thresholding • Fourier transforms • Radar angle of arrival • Cluster models • Multi-target object tracking • Radar range resolution • Radar velocity estimation • Radar velocity resolution • Radar range estimation • Radar angle resolution
- Kalman Filters
Kalman filters • Unscented kalman filters • Basic trigonometry • Non-linear motion tracking • Extended kalman filters • Sensor fusion • Sensor specifications • Robot trajectory generation • C++ for robotics • Object tracking • Jacobians
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Lidar Obstacle Detection
- Camera
- Radar
- Kalman Filters
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 days
- Flexible
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
General Engineering & Technology Machine Learning View 276 other preparation in Machine Learning in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prior to enrolling, you should have the following knowledge:
- Basic calculus
- Basic probability
- Intermediate C++
- Linear algebra
You will also need to be able to communicate fluently and professionally in written and spoken English.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents499 USD / full≈ 499 USD / full - Out-of-State499 USD / full≈ 499 USD / full
-
Domestic
Applies to youIn-State499 USD / full≈ 499 USD / full
Additional Details
249$ - Monthly Subscription - Unlimited access to all Udacity programs, skills and projects
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Sensor Fusion.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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