Journal: Sensors (Basel, Switzerland)

Article Title: A Benchmark Comparison of Four Off-the-Shelf Proprietary Visual–Inertial Odometry Systems

doi: 10.3390/s22249873

Figure Lengend Snippet: Intrinsic and extrinsic calibration of all cameras. We calibrated the intrinsic and extrinsic camera parameters of the four tested VIO sensors by capturing multiple views of a checkerboard. We utilized MATLAB’s built-in camera calibration toolbox and visualized the custom-built sensor rig with orientations of all four VIO sensors.

Article Snippet: Given the checkerboard images that were taken with each VIO sensor, we obtained intrinsic and extrinsic calibration parameters by using MATLAB’s built-in camera calibration toolbox.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Commercial Optical and Acoustic Sensor Performances under Varying Turbidity, Illumination, and Target Distances

doi: 10.3390/s23146575

Figure Lengend Snippet: Laser triangulation accuracy and operation limits; dash “-” denotes no valid measurement. Δ denotes mean deviation from ground truth distance, shown with ±standard devation.

Article Snippet: Using the ROSbags generated through the experiments, the performance of three sensing modalities has been evaluated: stereo depth estimation based on the built-in algorithm of the Intel camera—see ; laser triangulation implemented through the color camera and the MATLAB triangulation algorithm—see ; and the high-frequency imaging sonar—see .

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Commercial Optical and Acoustic Sensor Performances under Varying Turbidity, Illumination, and Target Distances

doi: 10.3390/s23146575

Figure Lengend Snippet: Graph showing the measuring accuracy at 0.3 FTU for laser triangulation.

Article Snippet: Using the ROSbags generated through the experiments, the performance of three sensing modalities has been evaluated: stereo depth estimation based on the built-in algorithm of the Intel camera—see ; laser triangulation implemented through the color camera and the MATLAB triangulation algorithm—see ; and the high-frequency imaging sonar—see .

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Commercial Optical and Acoustic Sensor Performances under Varying Turbidity, Illumination, and Target Distances

doi: 10.3390/s23146575

Figure Lengend Snippet: Graph showing the measuring accuracy at 2.1 FTU for laser triangulation.

Article Snippet: Using the ROSbags generated through the experiments, the performance of three sensing modalities has been evaluated: stereo depth estimation based on the built-in algorithm of the Intel camera—see ; laser triangulation implemented through the color camera and the MATLAB triangulation algorithm—see ; and the high-frequency imaging sonar—see .

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Commercial Optical and Acoustic Sensor Performances under Varying Turbidity, Illumination, and Target Distances

doi: 10.3390/s23146575

Figure Lengend Snippet: Graph showing the measuring accuracy at 6.0 FTU for laser triangulation.

Article Snippet: Using the ROSbags generated through the experiments, the performance of three sensing modalities has been evaluated: stereo depth estimation based on the built-in algorithm of the Intel camera—see ; laser triangulation implemented through the color camera and the MATLAB triangulation algorithm—see ; and the high-frequency imaging sonar—see .

Techniques: