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Found 16 papers, 6 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.
Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision
Spiking Neural Networks (SNNs) offer a biologically inspired approach to computer vision that can lead to more efficient processing of visual data with reduced energy consumption.
Reinforcement Learning Generalization for Nonlinear Systems Through Dual-Scale Homogeneity Transformations
It achieves a success rate of 96% in bringing the load to its designated target with a 3D RMSE of 0. 0253 m. The video that shows the experimental results along with a summary of the paper is available at this link.
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.
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network
In the context of robotic grasping, object segmentation encounters several difficulties when faced with dynamic conditions such as real-time operation, occlusion, low lighting, motion blur, and object size variability.
GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
The development of deep learning-based biometric models that can be deployed on devices with constrained memory and computational resources has proven to be a significant challenge.
Ranked #1 on
Face Recognition
on CFP-FF
Relay-based identification of Aerodynamic and Delay Sensor Dynamics with applications for Unmanned Aerial Vehicles
Real-time identification is achieved by using the homogeneity properties of the MRFT and the LPRS which are proven in this paper.
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping
Object segmentation for robotic grasping under dynamic conditions often faces challenges such as occlusion, low light conditions, motion blur and object size variance.
A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment
To the best of our knowledge, this densely annotated and 3D spatial-temporal event-based segmentation benchmark of tabletop objects is the first of its kind.
The Role of Time Delay in Sim2real Transfer of Reinforcement Learning for Cyber-Physical Systems
This paper analyzes the simulation to reality gap in reinforcement learning (RL) cyber-physical systems with fractional delays (i. e. delays that are non-integer multiple of the sampling period).
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.
Multirotors from Takeoff to Real-Time Full Identification Using the Modified Relay Feedback Test and Deep Neural Networks
Low cost real-time identification of multirotor unmanned aerial vehicle (UAV) dynamics is an active area of research supported by the surge in demand and emerging application domains.
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.
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.
