6 citations · 6 across the 3 of their papers we have counts for
3 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…
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 (…