Search Results for author:
Found 16 papers, 5 papers with code
Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network
Moreover, we introduce the Dynamic Object Mask-aware Event Labeling (DOMEL) approach for generating approximate ground-truth labels for event-based motion segmentation datasets.
Physics-Informed LSTM-Based Delay Compensation Framework for Teleoperated UGVs
Subsequently, experiments were conducted to validate the efficacy of the framework in close-loop scenarios, particularly to compensate for the real-network delays experienced by teleoperated UGVs coupled with longitudinal slippage.
Early and Accurate Detection of Tomato Leaf Diseases Using TomFormer
TomFormer performed well on the KUTomaDATA, PlantDoc, and PlantVillage datasets, with mean average accuracy (mAP) scores of 87%, 81%, and 83%, respectively.
MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility
The underwater environment presents unique challenges, including color distortions, reduced contrast, and blurriness, hindering accurate analysis.
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments
This research presents ADOD, a novel approach to address domain generalization in underwater object detection.
Autonomous Underwater Robotic System for Aquaculture Applications
This work aims to develop a robotic-based automatic net defect detection system for aquaculture net pens oriented to on- ROV processing and real-time detection of different aqua-net defects such as biofouling, vegetation, net holes, and plastic.
Evaluating Deep Learning Assisted Automated Aquaculture Net Pens Inspection Using ROV
In marine aquaculture, inspecting sea cages is an essential activity for managing both the facilities' environmental impact and the quality of the fish development process.
Vision-Based Autonomous Navigation for Unmanned Surface Vessel in Extreme Marine Conditions
To overcome these issues, this paper presents an autonomous vision-based navigation framework for tracking target objects in extreme marine conditions.
Tomato Maturity Recognition with Convolutional Transformers
In this paper, the authors propose a novel method for tomato maturity classification using a convolutional transformer.
E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras
However, conventional image-based calibration techniques are not applicable due to the asynchronous, binary output of the sensor.
A Neuromorphic Vision-Based Measurement for Robust Relative Localization in Future Space Exploration Missions
Driven by this necessity, this work proposes a robust relative localization system based on a fusion of neuromorphic vision-based measurements (NVBMs) and inertial measurements.
Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers
Compared to existing solutions, qualitative results verified the superior capability of the proposed algorithm to eliminate noise while preserving meaningful scene events.
Neuromorphic Event-Based Slip Detection and suppression in Robotic Grasping and Manipulation
In this paper, a novel dynamic vision-based finger system for slip detection and suppression is proposed.
Neuromorphic Eye-in-Hand Visual Servoing
Based on the visual feedback, the motion of the robot is controlled to make the temporal upcoming event features converge to the desired event in spatio-temporal space.
Risk-Aware Reasoning for Autonomous Vehicles
Third, a planning subsystem that takes into account the uncertainty, from perception and intention recognition subsystems, and propagates all the way to control policies that explicitly bound the risk of collision.
Discrete Cosserat Approach for Multi-Section Soft Robots Dynamics
In spite of recent progress, soft robotics still suffers from a lack of unified modeling framework.
Robotics
