Grid mapping is a very common technique used in mobile robotics to build a continuous 2D representation of the environment useful for navigation purposes. Although its computation is quite simple and fast, this algorithm uses the hypothesis of a known robot pose. In practice, this can require the re-computation of the map when the estimated robot poses change, as when a loop closure is detected. This paper presents a parallelization of a reference implementation of the grid mapping algorithm, which is suitable to be fully run on a graphics card showing huge processing speedups (up to 50×) while fully releasing the main processor, which can be very useful for many Simultaneous Localization and Mapping algorithms
voir basilic : http://emotion.inrialpes.fr/bibemotion/2007/YAL07/ note: (Accepted) To be publishedBu...
In robot systems several computationally intensivetasks can be found, with path planning being one o...
Computer vision is an important research area where computationally-intensive and time critical pro...
Building a globally correct map of an unknown environment and localising a robot in it is a common p...
Intelligent autonomous acting of mobile robots in unstructured environments requires 3D maps. Since ...
Interactive three-dimensional graphics applications, such as terrain data representation and manipul...
Simultaneous Localization And Mapping (SLAM) algorithms are being used in many robotic applications ...
In the automatic navigation robot field, robotic autonomous positioning is one of the most difficult...
Nowadays with the advance in managing and collecting large data, GIS is one of the applications that...
Implementation (on standard computers or GPUs) of the model of grid cells developed by Si et al.[1]....
A particular class of optimisation problems can be solved using a technique known as dynamic program...
Simultaneous Localization and Mapping (SLAM) describes a class of problems facing a large and growin...
Simultaneous Localization And Mapping is the process that allows a robot to build a map of an unknow...
The mapping problem has been studied extensively. However, algorithms which were designed to map a p...
In robotics, especially in this era of autonomous driving, mapping is one key ability of a robot to ...
voir basilic : http://emotion.inrialpes.fr/bibemotion/2007/YAL07/ note: (Accepted) To be publishedBu...
In robot systems several computationally intensivetasks can be found, with path planning being one o...
Computer vision is an important research area where computationally-intensive and time critical pro...
Building a globally correct map of an unknown environment and localising a robot in it is a common p...
Intelligent autonomous acting of mobile robots in unstructured environments requires 3D maps. Since ...
Interactive three-dimensional graphics applications, such as terrain data representation and manipul...
Simultaneous Localization And Mapping (SLAM) algorithms are being used in many robotic applications ...
In the automatic navigation robot field, robotic autonomous positioning is one of the most difficult...
Nowadays with the advance in managing and collecting large data, GIS is one of the applications that...
Implementation (on standard computers or GPUs) of the model of grid cells developed by Si et al.[1]....
A particular class of optimisation problems can be solved using a technique known as dynamic program...
Simultaneous Localization and Mapping (SLAM) describes a class of problems facing a large and growin...
Simultaneous Localization And Mapping is the process that allows a robot to build a map of an unknow...
The mapping problem has been studied extensively. However, algorithms which were designed to map a p...
In robotics, especially in this era of autonomous driving, mapping is one key ability of a robot to ...
voir basilic : http://emotion.inrialpes.fr/bibemotion/2007/YAL07/ note: (Accepted) To be publishedBu...
In robot systems several computationally intensivetasks can be found, with path planning being one o...
Computer vision is an important research area where computationally-intensive and time critical pro...