Sensor fusion is the combining of sensory data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. The term uncertainty reduction, in this case, can mean more accurate, more complete, or more dependable, or refer to the result of an emerging view, such as stereoscopic vision (calculation of depth information by combining two-dimensional images from two cameras at slightly different viewpoints).
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Sensor Fusion
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Understanding Sensor Fusion and Tracking, Part 1: What Is Sensor Fusion?
12 min
Beginner
Video
Theory
This video provides an overview of what sensor fusion is and how it helps in the design of autonomous systems. It also covers a few scenarios that illustrate the various ways that sensor...
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Understanding Sensor Fusion and Tracking, Part 6: What Is Track-Level Fusion...
15 min
Beginner
Video
Theory
Gain insights into track-level fusion, the types of tracking situations that require it, and some of the challenges associated with it.
You’ll see two different tracking architectures—track...
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Understanding Sensor Fusion and Tracking, Part 1: What Is Sensor Fusion?
12 min
Beginner
Video
Theory
This video provides an overview of what sensor fusion is and how it helps in the design of autonomous systems. It also covers a few scenarios that illustrate the various ways that sensor...
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Understanding Sensor Fusion and Tracking, Part 5: How to Track Multiple Obje...
15 min
Beginner
Video
Theory
This video describes two common problems that arise when tracking multiple objects: data association and track maintenance. We cover a few ways to solve these issues and provide a general...
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Understanding Sensor Fusion and Tracking, Part 4: Tracking a Single Object W...
16 min
Beginner
Video
Theory
This video describes how we can improve tracking a single object by estimating state with an interacting multiple model filter. We will build up some intuition about the IMM filter and show...
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An efficient orientation filter for inertial and inertial/magnetic sensor ar...
40 min
Advanced
Peer Reviewed Paper
Theory
This report presents a novel orientation filter applicable to IMUs consisting of tri-axis gyroscopes and accelerometers, and MARG sensor arrays that also include tri-axis magnetometers. The...
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Understanding Sensor Fusion and Tracking, Part 3: Fusing a GPS and IMU to Es...
14 min
Beginner
Video
Theory
This video continues our discussion on using sensor fusion for positioning and localization by showing how we can use a GPS and an IMU to estimate and object’s orientation and position. We...
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Understanding Sensor Fusion and Tracking, Part 2: Fusing a Mag, Accel, and G...
16 min
Beginner
Video
Theory
This video describes how we can use a magnetometer, accelerometer, and a gyro to estimate an object’s orientation. The goal is to show how these sensors contribute to the solution, and to...
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Understanding Sensor Fusion and Tracking, Part 2: Fusing a Mag, Accel, and G...
16 min
Beginner
Video
Theory
This video describes how we can use a magnetometer, accelerometer, and a gyro to estimate an object’s orientation. The goal is to show how these sensors contribute to the solution, and to...
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