A Novel Camera-to-Robot Calibration Method for Vision-Based Floor Measurements [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesA novel hand–eye calibration method for ground-observing mobile robots is proposed. While cameras on mobile robots are common, they are rarely used for ground-observing measurement tasks. Laser trackers are increasingly used in robotics for precise
J. A. Rudolph, D. Haitz, M. Ulrich
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SENSEYE: a resource-aware visionary framework for assisting individuals with visual disabilities
Scientific ReportsDespite significant recent advances, visual aid systems are still limited by the use of conventional computer vision algorithms, constrained sensor capabilities, high power consumption, and reliance on cloud-based processing, which introduce latency and ...
Akash Shingha Bappy +2 more
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MaLCA: Point Cloud Registration with Mamba-Enhanced Features and Local Correspondence Augmentation
AlgorithmsHigh-quality correspondences are critical to the accuracy and robustness of point cloud registration. Existing Transformer-based methods are fundamentally constrained by the quadratic computational complexity of self-attention, resulting in limited ...
Yuchen Huo +6 more
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Accurate Calibration of Multi-LiDAR-Multi-Camera Systems
Sensors, 2018 As autonomous driving attracts more and more attention these days, the algorithms and sensors used for machine perception become popular in research, as well. This paper investigates the extrinsic calibration of two frequently-applied sensors: the camera
Zoltán Pusztai +2 more
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Focusing 3D Small Objects with Object Matching Set Abstraction
Applied SciencesCurrently, 3D object detection methods fail to detect small objects due to the fewer effective points of small objects. It is a significant challenge to reduce the loss of information of points in representation learning.
Lei Guo +5 more
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An explainable hybrid deep learning system for tuberculosis detection with Grad-CAM
Discover ComputingTuberculosis (TB) is a highly contagious disease that affects millions of individuals globally. Early detection is crucial in preventing its spread and improving patient outcomes.
Aleka Melese Ayalew +3 more
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Tracking Trans-Generational Stress Susceptibility in the Farm Animal Using AI
Computer Sciences & Mathematics ForumStress, being an inherent trait, is a major driver of farm animal disease, leading to significant antimicrobial use (AMU). AMU is the recognized source of antimicrobial resistance (AMR).
Ajmal Shahbaz +5 more
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Sparse representation based intraframe and semi‐intraframe video coding schemes for low bitrates
IET Image Processing, 2021 This paper proposes some extensions of the successful sparse coding of still images to intraframe and semi‐intraframe video coding. The presented frameworks apply the efficient K‐singular value decomposition and recursive least squares dictionary ...
Maziar Irannejad +1 more
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ACapMed: Automatic Captioning for Medical Imaging
Applied Sciences, 2022 Medical image captioning is a very challenging task that has been rarely addressed in the literature on natural image captioning. Some existing image captioning techniques exploit objects present in the image next to the visual features while generating ...
Djamila Romaissa Beddiar +3 more
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Cancer prediction using graph-based gene selection and explainable classifier
Finnish Journal of eHealth and eWelfare, 2022 Several Artificial Intelligence-based models have been developed for cancer prediction. In spite of the promise of artificial intelligence, there are very few models which bridge the gap between traditional human-centered prediction and the potential ...
Mehrdad Rostami, Mourad Oussalah
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