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Mobile Ground-Truth 3D Detection Environment for Agricultural Robot Field Testing.

Authors : Barrelmeyer, Daniel^1,2 (AUTHOR) ; Stiene, Stefan^1,2 (AUTHOR); Jose, Jannik¹ (AUTHOR)

Source: Sensors (14248220). Jul2025, Vol. 25 Issue 13, p4103. 23p.

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Enhancing the Ground Truth Disparity by MAP Estimation for Developing a Neural-Net Based Stereoscopic Camera.

Authors : Gil, Hanbit¹ (AUTHOR) ; Ryu, Sehyun¹ (AUTHOR); Woo, Sungmin¹ (AUTHOR)

Source: Sensors (14248220). Dec2024, Vol. 24 Issue 23, p7761. 20p.

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Comparing NISAR (Using Sentinel-1), USDA/NASS CDL, and Ground Truth Crop/Non-Crop Areas in an Urban Agricultural Region.

Authors : Kraatz, Simon¹ (AUTHOR) ; Lamb, Brian T.² (AUTHOR) ; Hively, W. Dean³ (AUTHOR)

Source: Sensors (14248220). Oct2023, Vol. 23 Issue 20, p8595. 26p.

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Tools for Ground-Truth-Free Passive Client Density Mapping in MAC-Randomized Outdoor WiFi Networks.

Authors : Yang, Feifei^1,2 (AUTHOR) ; Ahriz, Iness³ (AUTHOR) ; Denby, Bruce² (AUTHOR)

Source: Sensors (14248220). Jul2023, Vol. 23 Issue 13, p6142. 31p.

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Near-Surface Seismic Measurements in Gravel Pit, over Highway Tunnel and Underground Tubes with Ground Truth Information as an Open Data Set.

Authors : Shin, Ban-Sok¹ (AUTHOR) ; Wientgens, Luis¹ (AUTHOR); Schaab, Marius¹ (AUTHOR)

Source: Sensors (14248220). Sep2022, Vol. 22 Issue 17, p6687. 18p.

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Road and Railway Smart Mobility: A High-Definition Ground Truth Hybrid Dataset.

Authors : Khemmar, Redouane¹ (AUTHOR) ; Mauri, Antoine¹ (AUTHOR) ; Dulompont, Camille¹ (AUTHOR)

Source: Sensors (14248220). May2022, Vol. 22 Issue 10, p3922-3922. 23p.

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Design of a Smartphone Indoor Positioning Dynamic Ground Truth Reference System Using Robust Visual Encoded Targets.

Authors : Liao, Xuan¹ ; Chen, Ruizhi¹ ; Li, Ming^1,2

Source: Sensors (14248220). Mar2019, Vol. 19 Issue 5, p1261. 1p.

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The Accuracy of the Microsoft Kinect V2 Sensor for Human Gait Analysis. A Different Approach for Comparison with the Ground Truth.

Authors : Guffanti, Diego^1,2 (AUTHOR) ; Brunete, Alberto¹ (AUTHOR) ; Hernando, Miguel¹ (AUTHOR)

Source: Sensors (14248220). Aug2020, Vol. 20 Issue 16, p4405-4405. 1p.

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Academic Journal

Practical Application of Passive Air-Coupled Ultrasonic Acoustic Sensors for Wheel Crack Detection.

Authors : Shaju, Aashish¹ (AUTHOR); Kumar, Nikhil¹ (AUTHOR); Mantovani, Giovanni¹ (AUTHOR)

Source: Sensors (14248220). Oct2025, Vol. 25 Issue 19, p6126. 26p.

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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines.

Authors : Dillner, Ronald P.¹ (AUTHOR) ; Wimmer, Maria A.² (AUTHOR) ; Porten, Matthias¹ (AUTHOR)

Source: Sensors (14248220). Jan2025, Vol. 25 Issue 2, p431. 36p.

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Search Results

Your Filters

Mobile Ground-Truth 3D Detection Environment for Agricultural Robot Field Testing.

Enhancing the Ground Truth Disparity by MAP Estimation for Developing a Neural-Net Based Stereoscopic Camera.

Comparing NISAR (Using Sentinel-1), USDA/NASS CDL, and Ground Truth Crop/Non-Crop Areas in an Urban Agricultural Region.

Tools for Ground-Truth-Free Passive Client Density Mapping in MAC-Randomized Outdoor WiFi Networks.

Near-Surface Seismic Measurements in Gravel Pit, over Highway Tunnel and Underground Tubes with Ground Truth Information as an Open Data Set.

Road and Railway Smart Mobility: A High-Definition Ground Truth Hybrid Dataset.

Design of a Smartphone Indoor Positioning Dynamic Ground Truth Reference System Using Robust Visual Encoded Targets.

The Accuracy of the Microsoft Kinect V2 Sensor for Human Gait Analysis. A Different Approach for Comparison with the Ground Truth.

Practical Application of Passive Air-Coupled Ultrasonic Acoustic Sensors for Wheel Crack Detection.

Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines.

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