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Images for Inland navigation and vessel optimal path planning
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Otis, Martin J.-D.; Deshmukh, Yashwardhan — 2024-04-22 Laboratoire d'Automatique et de Robotique interactive, Université du Québec à Chicoutimi, Québec, Canada LAR.i - UQAC, 02 Feb. 2024 <br> 855 satellite images and their ground truth masks. The original satellite images could be accessed by email. <br> Manual acquisition of 60 unlabelled aerial satellite images with varying dimensions (area ranging from 500 meters to 5 kilometers) from Google Maps. A manual segmentation is executed into three labels: water, land, and obstacle. <br> Parametric augmentation pipeline:<br> -random cropping, <br> -horizontal and vertical flipping, <br> -rotation, <br> -brightness and contrast, <br> -Contrast Limited Adaptive Histogram Equalization (CLAHE) and <br> -Grid Distortion, or Optical Distortion.
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Image dataset of various soil types in an urban city
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Gensytskyy, Oleksiy; Ben Ayed, Yessine; Otis, Martin J.-D. — 2021-10-14 <b>LAR.i Laboratory - Université du Québec à Chicoutimi (UQAC)</b><br> 2021-08-24<br> Name: Image dataset of various soil types in an urban city<br><br> Published journal paper: Gensytskyy, O., Nandi, P., Otis, M.JD. et al. Soil friction coefficient estimation using CNN included in an assistive system for walking in urban areas. J Ambient Intell Human Comput 14, 14291–14307 (2023). https://doi.org/10.1007/s12652-023-04667-w This dataset contains images of various types of soils and was used for the project "An assistive system for walking in urban areas". The images were taken using a smartphone camera in a vertical orientation and are high-quality.<br> The files are named with two characters, being the first letter and last letter of its class name, following by their number.<br><br> Capture location : City of Saguenay, Quebec Canada.<br> Class count : 8<br> Total number of images : 493<br><br> Classes and number of images per class: <ul> <li>Asphalt (89) </li> <li>Concrete (80)</li> <li>Epoxy_coated_interior (34)</li> <li>Grass (90)</li> <li>Gravel (58)</li> <li>Scrattered_snow (40)</li> <li>Snow (68)</li> <li>Wood (34)</li> </ul>
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Insole sensor data for foot gestures
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TCHANE DJOGDOM, Gilde Vanel; Meziane, Ramy; Otis, Martin J.-D. — 2022-08-16 Laboratoire d'Automatique et de Robotique interactive, Université du Québec à Chicoutimi, Québec, Canada LAR.i - UQAC, 16 août 2022 <br>This dataset presents sensor's signal acquired for foot gesture recognition.</br> <br>This dataset was created after an ethic approbation (Research Ethic Board) at UQAC under the number 2022-837.</br> <br>The dataset is composed of 5 participants. For each participant, a set of 11 classes is presented. For each classes, one .csv files are included and are composed of 13 column. Each colum refers to a signal acquisition described in the following list : </br> <br>gesture_participant_X_GY etZ.tab <li>X: Participant Identification</li> <li>Y: Gesture number</li> <li>Z: Trial number</li> </br> See gesture dictionary (type and description) in: <br> Tchane Djogdom, G.V., Otis, M.JD. & Meziane, R. Dynamic time warping–based feature selection method for foot gesture cobot operation mode selection. Int J Adv Manuf Technol 126, 4521–4541 (2023). https://doi.org/10.1007/s00170-023-11280-w </br> <br> See video (real time application): Sharing_pHRI_iCDPM_RamyMeziane.mp4 </br> <br>Gesture crushing a cigarette (8 participants): <li>Part X et Z.mat</li> <li>X: Participant identification</li> <li>Z: Trial number</li> </br> <br> <ol> <li>AccX -------- Accelaration on X axis</li> <li>AccY -------- Accelaration on Y axis</li> <li>AccZ -------- Accelaration on Z axis</li> <li>P -------- Euler angle Pitch</li> <li>R -------- Euler angle Roll</li> <li>Y -------- Euler angle Yaw</li> <li>FSR1 -------- Force sensor in forefoot (left side)</li> <li>FSR2 -------- Force sensor in forefoot (right side)</li> <li>FSR3 -------- Force sensor in heel or rearfoot (left side)</li> <li>FSR4 -------- Force sensor in heel or rearfoot (right side)</li> <li>GyX -------- Gyroscope on X axis</li> <li>GyY -------- Gyroscope on Y axis</li> <li>GyZ -------- Gyroscope on Z axis</li> </ol> </br>

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(Source Repository: Dataverse de l'Université du Québec à Chicoutimi) AND (Author: Otis, Martin J.-D.)

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