Real-world projects from industry experts
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Object Tracking and Localization
Course
Learn how to locate an object in a moving system and track it over time.
Estimated time
1 month
Enroll by
June 14, 2023
Get access to classroom immediately on enrollment
Skills acquired
Docker, Kubernetes, Containerization Fluency
What You Will Learn
Object Tracking and Localization
1 month to completeLearn how to locate an object and track it over time. These techniques are used in a variety of moving systems, such as self-driving car navigation and drone flight.
Prerequisite knowledge
Basic Arithmetic, Basic Probability, Object-Oriented Python
Object Motion & Tracking
Learn how to programmatically track a single point over time. Understand motion models that define object movement over time and learn how to analyze videos as sequences of individual image frames.
Optical Flow & Feature Matching
Implement a method for tracking a set of unique features over time. Learn how to match features from one image frame to another and track a moving car using optical flow.
Robot Localization
Use Bayesian statistics to locate a robot in space. Learn how sensor measurements can be used to safely navigate an environment. Understand Gaussian uncertainty and implement a histogram filter for robot localization in Python.
Graph SLAM
Identify landmarks and build up a map of an environment. Learn how to simultaneously localize an autonomous vehicle and create a map of landmarks. Implement move and sense functions for a robotic vehicle
Course Project: Landmark Detection & Tracking
Use feature detection and keypoint descriptors to build a map of the environment with SLAM (simultaneous localization and mapping). Implement a robust method for tracking an object over time, using elements of probability, motion models, and linear algebra. This project tests your knowledge of localization techniques that are widely used in autonomous vehicle navigation.
All Our Courses Include
Real-time support
On demand help. Receive instant help with your learning directly in the classroom. Stay on track and get unstuck.
Workspaces
Validate your understanding of concepts learned by checking the output and quality of your code in real-time.
Flexible learning program
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Course offerings
Class content
- Real-world projects
- Project reviews
- Project feedback from experienced reviewers
Student services
- Student community
- Real-time support
Succeed with personalized services.
We provide services customized for your needs at every step of your learning journey to ensure your success.
- Experienced Project Reviewers
- Real-Time Support
Get timely feedback on your projects.
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Learn with the best.
Learn with the best.
Cezanne Camacho
Curriculum LeadCezanne is an expert in computer vision with a Masters in Electrical Engineering from Stanford University. As a former researcher in genomics and biomedical imaging, she’s applied computer vision and deep learning to medical diagnostic applications.
Sebastian Thrun
Founder & President | UdacityAs the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.
Andy Brown
Curriculum LeadAndy has a bachelor's degree in physics from MIT, and taught himself to program after college (mostly with Udacity courses). He has been helping Udacity make incredible educational experiences since the early days of the company.
Server Deployment and Containerization
Get started today
Learn
Learn how to locate an object in a moving system and track it over time.
Average Time
On average, successful students take 1 month to complete this program.
Benefits include
- Real-world projects from industry experts
- Real-time support
Program Details
Do I need to apply? What are the admission criteria?
No. This Course accepts all applicants regardless of experience and specific background.
What are the prerequisites for enrollment?
To be successful in this program, learners should have knowledge of basic arithmetic, basic probability, and object-oriented Python.
How is this course structured?
This course is comprised of content and curriculum to support one project. We estimate that students can complete the program in one month.
The project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
How long is this course?
Access to this course runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our programs.
Can I switch my start date? Can I get a refund?
Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
What software and versions will I need in this course?
Learners will need Python and the following Python libraries: matplotlib==2.1.0, numpy==1.12.1.