Computer vision for autonomous UAV flight safety: An overview and a vision-based safe landing pipeline example
Recent years have seen an unprecedented spread of Unmanned Aerial Vehicles (UAVs, or
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …
Video propagation networks
We propose a technique that propagates information forward through video data. The
method is conceptually simple and can be applied to tasks that require the propagation of …
method is conceptually simple and can be applied to tasks that require the propagation of …
Semantic video cnns through representation warping
In this work, we propose a technique to convert CNN models for semantic segmentation of
static images into CNNs for video data. We describe a warping method that can be used to …
static images into CNNs for video data. We describe a warping method that can be used to …
Safe autonomy under perception uncertainty using chance-constrained temporal logic
Autonomous vehicles have found wide-ranging adoption in aerospace, terrestrial as well as
marine use. These systems often operate in uncertain environments and in the presence of …
marine use. These systems often operate in uncertain environments and in the presence of …
[PDF][PDF] Geometry and uncertainty in deep learning for computer vision
AG Kendall - 2019 - sanjeevg15.github.io
Deep learning and convolutional neural networks have become the dominant tool for
computer vision. These techniques excel at learning complicated representations from data …
computer vision. These techniques excel at learning complicated representations from data …
Stixmantics: A medium-level model for real-time semantic scene understanding
T Scharwächter, M Enzweiler, U Franke… - Computer Vision–ECCV …, 2014 - Springer
In this paper we present Stixmantics, a novel medium-level scene representation for real-
time visual semantic scene understanding. Relevant scene structure, motion and object …
time visual semantic scene understanding. Relevant scene structure, motion and object …
Local memory attention for fast video semantic segmentation
We propose a novel neural network module that transforms an existing single-frame
semantic segmentation model into a video semantic segmentation pipeline. In contrast to …
semantic segmentation model into a video semantic segmentation pipeline. In contrast to …
Efficient temporal consistency for streaming video scene analysis
We address the problem of image-based scene analysis from streaming video, as would be
seen from a moving platform, in order to efficiently generate spatially and temporally …
seen from a moving platform, in order to efficiently generate spatially and temporally …
Multiview vision-based human crowd localization for UAV fleet flight safety
This paper presents a centralized, vision-based method for robust, on-the-fly 3D localization
and mapping of human crowds in large-scale outdoor environments, assuming their …
and mapping of human crowds in large-scale outdoor environments, assuming their …
Automated synthesis of safe autonomous vehicle control under perception uncertainty
Autonomous vehicles have found wide-ranging adoption in aerospace, terrestrial as well as
marine use. These systems often operate in uncertain environments and in the presence of …
marine use. These systems often operate in uncertain environments and in the presence of …