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Object Tracking and Localization
Sebastian Thrun,
Andy Brown,
and
Cezanne Camacho
Sebastian Thrun,
Andy Brown,
and
Cezanne Camacho
Take Udacity's Object Tracking & Localization course and learn how to locate an object and track it over time using AI concepts.
Prerequisite details
Read more
Take Udacity's Object Tracking & Localization course and learn how to locate an object and track it over time using AI concepts.
Prerequisite details
Read more
Take Udacity's Object Tracking & Localization course and learn how to locate an object and track it over time using AI concepts.
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Basic probability
- Object-oriented Python
- Basic arithmetic
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/tigwgu/object
What's inside
Syllabus
This lesson introduces a way to represent motion mathematically, outlines what you'll learn in this section, and introduces optical flow.
Learn to implement a Bayesian filter to locate a robot in space and represent uncertainty in robot motion.
Read more
Syllabus
This lesson introduces a way to represent motion mathematically, outlines what you'll learn in this section, and introduces optical flow.
Learn to implement a Bayesian filter to locate a robot in space and represent uncertainty in robot motion.
Read more
Write sense and move functions (and debug) a 2D histogram filter!
Learn the intuition behind the Kalman Filter, a vehicle tracking algorithm, and implement a one-dimensional tracker of your own.
Learn about representing the state of a car in a vector that can be modified using linear algebra.
Linear Algebra is a rich branch of math and a useful tool. In this lesson you'll learn about the matrix operations that underly multidimensional Kalman Filters.
Learn how to implement SLAM: simultaneously localize an autonomous vehicle and create a map of landmarks in an environment.
Review the basics of calculus and see how to derive the x and y components of a self-driving car's motion from sensor measurements and other data.
Implement SLAM, a robust method for tracking an object over time and mapping out its surrounding environment, using elements of probability, motion models, and linear algebra.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for students with a foundational understanding of object-oriented Python programming, basic probability, and arithmetic
Taught by instructors well-known for their expertise in AI and object tracking
Focuses specifically on object tracking, providing specialized training in this area
Employs a range of teaching methods, including interactive materials, hands-on labs, and discussions
May require additional software or hardware, which could be a financial burden for some students
Save this course
Save Object Tracking and Localization to your list so you can find it easily later:
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Activities
Coming soon
We're preparing activities for
Object Tracking and Localization.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Object Tracking and Localization will develop knowledge and skills
that may be useful to these careers:
Robotics Engineer
Robotics Engineer
Robotics Engineers combine mechanical, electrical, and computer engineering to design, create, and test robots. They apply their knowledge of engineering principles to the design of robots that can perform a variety of tasks, from manufacturing and assembly to exploration and rescue. This course can help Robotics Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for designing robots that can navigate their environment and interact with objects effectively.
Autonomous Vehicle Engineer
Autonomous Vehicle Engineer
Autonomous Vehicle Engineers design, develop, and test self-driving cars and other autonomous vehicles. They use their knowledge of engineering principles to create vehicles that can safely and efficiently navigate their environment without human input. This course can help Autonomous Vehicle Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for designing vehicles that can accurately perceive their surroundings and make safe driving decisions.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop and implement computer vision systems that can interpret and understand images and videos. They use their knowledge of computer science and image processing to create systems that can perform a variety of tasks, from facial recognition to medical diagnosis. This course can help Computer Vision Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for developing systems that can accurately detect and track objects in images and videos.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and implement machine learning algorithms. They use their knowledge of mathematics, computer science, and statistics to create algorithms that can learn from data and make predictions. This course can help Machine Learning Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for developing algorithms that can accurately detect and track objects in images and videos.
Data Scientist
Data Scientist
Data Scientists use their knowledge of mathematics, computer science, and statistics to extract insights from data. They develop and implement data analysis algorithms and models to identify trends, patterns, and anomalies in data. This course can help Data Scientists by providing them with a strong foundation in object tracking and localization. This knowledge is essential for developing algorithms and models that can accurately detect and track objects in images and videos.
Software Engineer
Software Engineer
Software Engineers design, develop, and implement software applications. They use their knowledge of computer science and programming to create software that meets the needs of users. This course can help Software Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for developing software applications that can accurately detect and track objects in images and videos.
Electrical Engineer
Electrical Engineer
Electrical Engineers design, develop, and test electrical systems and components. They use their knowledge of electricity and electronics to create systems that can power, control, and communicate. This course can help Electrical Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for developing systems that can accurately detect and track objects in images and videos.
Mechanical Engineer
Mechanical Engineer
Mechanical Engineers design, develop, and test mechanical systems and components. They use their knowledge of physics and engineering principles to create systems that can move, control, and interact with their environment. This course can help Mechanical Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for designing systems that can accurately detect and track objects in images and videos.
Aerospace Engineer
Aerospace Engineer
Aerospace Engineers design, develop, and test aircraft, spacecraft, and other vehicles that fly. They use their knowledge of aerodynamics, propulsion, and control systems to create vehicles that can safely and efficiently travel through the air and space. This course can help Aerospace Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for designing vehicles that can accurately detect and track objects in images and videos.
Chemical Engineer
Chemical Engineer
Chemical Engineers design, develop, and test chemical processes and products. They use their knowledge of chemistry, physics, and engineering principles to create processes that can produce chemicals, fuels, and other products safely and efficiently. This course can help Chemical Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for designing processes that can accurately detect and track objects in images and videos.
Civil Engineer
Civil Engineer
Civil Engineers design, develop, and test infrastructure projects such as bridges, roads, and buildings. They use their knowledge of civil engineering principles to create structures that can withstand the forces of nature and provide safe and efficient transportation and shelter. This course can help Civil Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for designing structures that can accurately detect and track objects in images and videos.
Environmental Engineer
Environmental Engineer
Environmental Engineers design, develop, and test solutions to environmental problems such as pollution, climate change, and waste management. They use their knowledge of environmental science and engineering principles to create solutions that protect the environment and human health. This course can help Environmental Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for developing solutions that can accurately detect and track objects in images and videos.
Industrial Engineer
Industrial Engineer
Industrial Engineers design, develop, and test systems and processes that improve the efficiency and productivity of organizations. They use their knowledge of industrial engineering principles to create systems that can optimize the use of resources, reduce costs, and improve quality. This course can help Industrial Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for developing systems that can accurately detect and track objects in images and videos.
Materials Engineer
Materials Engineer
Materials Engineers design, develop, and test materials for use in a variety of applications, such as construction, transportation, and manufacturing. They use their knowledge of materials science and engineering principles to create materials that meet the specific needs of each application. This course can help Materials Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for developing materials that can accurately detect and track objects in images and videos.
Nuclear Engineer
Nuclear Engineer
Nuclear Engineers design, develop, and test nuclear power plants and other nuclear facilities. They use their knowledge of nuclear engineering principles to create facilities that can safely and efficiently produce nuclear energy. This course can help Nuclear Engineers by providing them with a strong foundation in object tracking and localization. This knowledge is essential for designing facilities that can accurately detect and track objects in images and videos.
For more career information including salaries, visit:
OpenCourser.com/course/tigwgu/object
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Object Tracking and Localization.
Provides a comprehensive introduction to probabilistic robotics, covering topics such as localization, mapping, and motion planning. It valuable resource for anyone interested in learning more about the mathematical foundations of object tracking and localization.
Save
Provides a comprehensive overview of computer vision algorithms and applications. It covers topics such as image formation, feature extraction, object recognition, and motion analysis. It valuable resource for anyone interested in learning more about the computer vision techniques used in object tracking and localization.
Provides a comprehensive introduction to control theory. It covers topics such as feedback control, stability analysis, and optimal control. It valuable resource for anyone interested in learning more about the control theory techniques used in object tracking and localization.
Provides a comprehensive introduction to deep learning for computer vision. It covers topics such as image classification, object detection, and semantic segmentation. It valuable resource for anyone interested in learning more about the deep learning techniques used in object tracking and localization.
Save
Provides a comprehensive introduction to Bayesian filtering and smoothing. It covers topics such as Kalman filters, particle filters, and hidden Markov models. It valuable resource for anyone interested in learning more about the Bayesian filtering techniques used in object tracking and localization.
Provides a comprehensive introduction to probability and stochastic processes. It covers topics such as probability distributions, random variables, and stochastic processes. It valuable resource for anyone interested in learning more about the probability and stochastic processes techniques used in object tracking and localization.
Provides a comprehensive introduction to linear algebra. It covers topics such as vectors, matrices, and linear transformations. It valuable resource for anyone interested in learning more about the linear algebra techniques used in object tracking and localization.
Save
Provides a comprehensive introduction to computer graphics. It covers topics such as 3D modeling, animation, and rendering. It valuable resource for anyone interested in learning more about the computer graphics techniques used in object tracking and localization.
Provides a comprehensive introduction to partial differential equations. It covers topics such as the heat equation, the wave equation, and the Laplace equation. It valuable resource for anyone interested in learning more about the partial differential equations techniques used in object tracking and localization.
Save
Provides a comprehensive introduction to numerical analysis. It covers topics such as interpolation, numerical integration, and differential equations. It valuable resource for anyone interested in learning more about the numerical analysis techniques used in object tracking and localization.
Provides a comprehensive introduction to optimization. It covers topics such as linear programming, nonlinear programming, and convex optimization. It valuable resource for anyone interested in learning more about the optimization techniques used in object tracking and localization.
Provides a comprehensive introduction to calculus. It covers topics such as limits, derivatives, and integrals. It valuable resource for anyone interested in learning more about the calculus techniques used in object tracking and localization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tigwgu/object
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Effort
4 weeks
Via
Udacity
Instructors
Sebastian Thrun
Andy Brown
Cezanne Camacho
Language
English
Good to know
Suitable for students with a foundational understanding of object-oriented Python programming, basic probability, and arithmetic
Taught by instructors well-known for their expertise in AI and object tracking
Focuses specifically on object tracking, providing specialized training in this area
Employs a range of teaching methods, including interactive materials, hands-on labs, and discussions
May require additional software or hardware, which could be a financial burden for some students
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