Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
In recent years, deep learning (DL), a rebranding of neural networks (NNs), has risen to the
top in numerous areas, namely computer vision (CV), speech recognition, and natural …
top in numerous areas, namely computer vision (CV), speech recognition, and natural …
Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding
L Xue, M Gao, C **: Toward the robust-perception age
Simultaneous localization and map** (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …
model of the environment (the map), and the estimation of the state of the robot moving …
Codeslam—learning a compact, optimisable representation for dense visual slam
The representation of geometry in real-time 3D perception systems continues to be a critical
research issue. Dense maps capture complete surface shape and can be augmented with …
research issue. Dense maps capture complete surface shape and can be augmented with …
Semantics for robotic map**, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
A survey of multi-view representation learning
Recently, multi-view representation learning has become a rapidly growing direction in
machine learning and data mining areas. This paper introduces two categories for multi …
machine learning and data mining areas. This paper introduces two categories for multi …
From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots
Learning from demonstration for motion planning is an ongoing research topic. In this paper
we present a model that is able to learn the complex map** from raw 2D-laser range …
we present a model that is able to learn the complex map** from raw 2D-laser range …