Long future frame prediction using optical flow-informed deep neural networks for enhancement of robotic teleoperation in high latency environments.
Md. MoniruzzamanAlexander RassauDouglas ChaiSyed Mohammed Shamsul IslamPublished in: J. Field Robotics (2023)
Keyphrases
- neural network
- optical flow
- robotic systems
- human operators
- consecutive frames
- robotic arm
- predicting future
- long term
- prediction accuracy
- pattern recognition
- neural networks and support vector machines
- robotic manipulator
- genetic algorithm
- real world
- prediction model
- artificial neural networks to predict
- web prefetching
- real time
- motion estimation
- least squares
- dynamic environments
- mobile robot
- autonomous robots
- fuzzy logic
- image sequences
- control architecture
- back propagation
- neural network ensemble
- computer vision
- optical flow computation
- multi layer perceptron
- prediction error
- flow field
- dense optical flow
- video frames
- image enhancement
- robotic tasks
- moving objects
- response time
- master slave
- low latency
- augmented reality
- optical flow estimation
- prefetching
- motion parameters
- motion segmentation
- motion model
- camera motion