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Efficient Computer Vision-Based Excavator Bucket Fill Estimation Using Depth Map and Faster R-Cnn

https://doi.org/10.2139/ssrn.4672137
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inferredcites →https://doi.org/10.1007/978-3-319-16808-1_23openalex-extracted
3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network
inferredcites →https://doi.org/10.1016/j.aei.2023.101875openalex-extracted
Excavator 3D pose estimation using deep learning and hybrid datasets
inferredcites →https://doi.org/10.1016/j.autcon.2016.05.009openalex-extracted
Key challenges in automation of earth-moving machines
inferredcites →https://doi.org/10.1016/j.autcon.2018.10.013openalex-extracted
Field test of neural-network based automatic bucket-filling algorithm for wheel-loaders
inferredcites →https://doi.org/10.1016/j.autcon.2020.103207openalex-extracted
Point cloud-based estimation of effective payload volume for earthmoving loaders
inferredcites →https://doi.org/10.1016/j.autcon.2022.104440openalex-extracted
Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
inferredcites →https://doi.org/10.1016/j.measurement.2020.108114openalex-extracted
Estimation of fill factor for earth-moving machines based on 3D point clouds
inferredcites →https://doi.org/10.1109/access.2020.2983149openalex-extracted
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
inferredcites →https://doi.org/10.1109/cacs.2017.8284244openalex-extracted
Object volume estimation based on 3D point cloud
inferredcites →https://doi.org/10.1109/cvpr.2006.281openalex-extracted
Single View Reconstruction of Curved Surfaces
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00319openalex-extracted
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00297openalex-extracted
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-extracted
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/jsen.2010.2101060openalex-extracted
Lock-in Time-of-Flight (ToF) Cameras: A Survey
inferredcites →https://doi.org/10.1109/tits.2019.2892405openalex-extracted
A Survey on 3D Object Detection Methods for Autonomous Driving Applications
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-extracted
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1111/cgf.13386openalex-extracted
State of the Art on 3D Reconstruction with RGB‐D Cameras
inferredcites →https://doi.org/10.1111/mice.12675openalex-extracted
A neural network–based approach for fill factor estimation and bucket detection on construction vehicles
inferredcites →https://doi.org/10.1111/mice.12749openalex-extracted
Deep learning‐based object identification with instance segmentation and pseudo‐LiDAR point cloud for work zone safety
inferredcites →https://doi.org/10.1111/mice.12952openalex-extracted
A deep learning approach for construction vehicles fill factor estimation and bucket detection in extreme environments
inferredcites →https://doi.org/10.1155/2016/8742920openalex-extracted
Literature Survey on Stereo Vision Disparity Map Algorithms
inferredcites →https://doi.org/10.24867/ijiem-2023-1-323openalex-extracted
Deep Learning Approach for Volume Estimation in Earthmoving Operation
inferredcites →https://doi.org/10.4271/9780768094329openalex-extracted
Mobile Working Machines
inferredcites →https://doi.org/10.48550/arxiv.1506.01497openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2204.06806openalex-extracted
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