118 citations · 366 across the 36 of their papers we have counts for
38 papers
Lightweight Monocular Depth Estimation with an Edge Guided Network
Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti +2
Monocular depth estimation is an important task that can be applied to many robotic applications. Existing methods focus on improving depth estimation accuracy via training increas…
Latent Preserving Generative Adversarial Network for Imbalance classification
Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama +3
Many real-world classification problems have imbalanced frequency of class labels; a well-known issue known as the "class imbalance" problem. Classic classification algorithms tend…
Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance
Duy Tung Nguyen, Kathryn Kasmarik, Hussein Abbass
Neural-based learning agents make decisions using internal artificial neural networks. In certain situations, it becomes pertinent that this knowledge is re-interpreted in a friend…
Onto4MAT: A Swarm Shepherding Ontology for Generalised Multi-Agent Teaming
Adam J. Hepworth, Daniel P. Baxter, Hussein A. Abbass
Research in multi-agent teaming has increased substantially over recent years, with knowledge-based systems to support teaming processes typically focused on delivering functional…
MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation
Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti +1
Depth is a vital piece of information for autonomous vehicles to perceive obstacles. Due to the relatively low price and small size of monocular cameras, depth estimation from a si…
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti +1
As an essential component for many autonomous driving and robotic activities such as ego-motion estimation, obstacle avoidance and scene understanding, monocular depth estimation (…