In this paper we present large, accurately calibrated and time-synchronized data sets, gathered outdoors in controlled and variable environmental conditions, using an unmanned ground vehicle (UGV), equipped with a wide variety of sensors. These include four 2D laser scanners, a radar scanner, a color camera and an infrared camera. It provides a full description of the system used for data collection and the types of environments and conditions in which these data sets have been gathered, which include the presence of airborne dust, smoke and rain
The rapid development and growth of unmanned aerial vehicles (UAVs) as a remote sensing platform, as...
Autonomous vehicle operations in outdoor environments challenge robotic perception. Construction, mi...
ABSTRACT Advances in microcontroller technology, lightweight composite building materials, powerful ...
In this paper we present large, accurately calibrated and time-synchronized data sets, gathered outd...
This work aims to contribute to the reliability and integrity of perceptual systems of unmanned grou...
This paper proposes an experimental study of quality metrics that can be applied to visual and infra...
The aim of the thesis is to develop methods and algorithms for the development of a robust perceptio...
Unmanned aerial vehicles (UAVs) have revolutionized environmental and geographical surveying in rece...
Abstract — This paper proposes an experimental study of qual-ity metrics that can be applied to visu...
This work aims to promote reliability and integrity in autonomous perceptual systems, with a focus o...
The most challenging technical problems facing successful autonomous UGV operation in off-road envir...
Algorithms for autonomous navigation in environments without Global Navigation Satellite System (GNS...
Long-term autonomy in robotics requires perception systems that are resilient to unusual but realist...
Long-term autonomy in robotics requires perception systems that are resilient to unusual but realist...
We describe a method for the automatic recognition of air pollution and fog from a vehicle. Our syst...
The rapid development and growth of unmanned aerial vehicles (UAVs) as a remote sensing platform, as...
Autonomous vehicle operations in outdoor environments challenge robotic perception. Construction, mi...
ABSTRACT Advances in microcontroller technology, lightweight composite building materials, powerful ...
In this paper we present large, accurately calibrated and time-synchronized data sets, gathered outd...
This work aims to contribute to the reliability and integrity of perceptual systems of unmanned grou...
This paper proposes an experimental study of quality metrics that can be applied to visual and infra...
The aim of the thesis is to develop methods and algorithms for the development of a robust perceptio...
Unmanned aerial vehicles (UAVs) have revolutionized environmental and geographical surveying in rece...
Abstract — This paper proposes an experimental study of qual-ity metrics that can be applied to visu...
This work aims to promote reliability and integrity in autonomous perceptual systems, with a focus o...
The most challenging technical problems facing successful autonomous UGV operation in off-road envir...
Algorithms for autonomous navigation in environments without Global Navigation Satellite System (GNS...
Long-term autonomy in robotics requires perception systems that are resilient to unusual but realist...
Long-term autonomy in robotics requires perception systems that are resilient to unusual but realist...
We describe a method for the automatic recognition of air pollution and fog from a vehicle. Our syst...
The rapid development and growth of unmanned aerial vehicles (UAVs) as a remote sensing platform, as...
Autonomous vehicle operations in outdoor environments challenge robotic perception. Construction, mi...
ABSTRACT Advances in microcontroller technology, lightweight composite building materials, powerful ...