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Found 6 papers, 1 papers with code
Road Surface Defect Detection -- From Image-based to Non-image-based: A Survey
As a result, there has been a growing interest in the literature on the subject, leading to the development of various road surface defect detection methods.
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing
To demonstrate the effectiveness of our framework, we conducted various ablation studies and comparisons with prior methods on a newly collected dataset annotated with nine road defect classes.
Generating Future Observations to Estimate Grasp Success in Cluttered Environments
End-to-end self-supervised models have been proposed for estimating the success of future candidate grasps and video predictive models for generating future observations.
KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study
Sleep behaviour and in-bed movements contain rich information on the neurophysiological health of people, and have a direct link to the general well-being and quality of life.
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies
Additionally, a new metric together with data visualisations are employed to extract meaningful insights from the postures dataset, demonstrate the added value of the data augmentation method, and explain the classification performance.
Generation of GelSight Tactile Images for Sim2Real Learning
Preliminary experimental results have shown that the simulated sensor could generate realistic outputs similar to the ones captured by a real GelSight sensor.
Robotics
