International audienceLocalization is a key issue for automatic navigation of autonomous vehicles. In this article, a simultaneous map-plotting and localization method for an autonomous vehicle is proposed. We use a laser detection and mnging sensor to detect the operating environment. An environment map is plot out using the sensor output data. Then, with an odometer, the vehicle position is located on this map. Finally, the two sensor outputs are merged using a Kalman filter to correct the map as well as the vehicle position
The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing progress over th...
International audienceIn this paper, we present a real-time algorithm for local simultaneous localiz...
In order to navigate autonomously, many self-driving vehicles require precise localization within an...
International audienceLocalization is a key issue for automatic navigation of autonomous vehicles. I...
International audienceFor automatic navigation of autonomous vehicles, localization in real time is ...
International audienceThis paper presents a technique to localize and guide outdoors vehicles by bot...
International audienceLocate a vehicle in an urban environment remains a challenge for the autonomou...
International audienceSelf-driving car's navigation requires a very precise localization covering wi...
International audience—In this article, we propose a survey of the Simultaneous Localization And Map...
Accurate and reliable localization in extensive outdoor environments will be a key ability of future...
In the research on autonomous vehicles, self-localization is an important problem to solve. In this ...
There has been an increasing demand for the usage of autonomous (also called self-driving, driver-le...
In recent years, there has been a strong demand for self-driving cars. For safe navigation, self-dri...
The goal of this work is to provide autonomous cars with an alternative method to estimate their po...
La localisation des véhicules est essentielle pour atteindre l'autonomie et les algorithmes SLAM (Si...
The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing progress over th...
International audienceIn this paper, we present a real-time algorithm for local simultaneous localiz...
In order to navigate autonomously, many self-driving vehicles require precise localization within an...
International audienceLocalization is a key issue for automatic navigation of autonomous vehicles. I...
International audienceFor automatic navigation of autonomous vehicles, localization in real time is ...
International audienceThis paper presents a technique to localize and guide outdoors vehicles by bot...
International audienceLocate a vehicle in an urban environment remains a challenge for the autonomou...
International audienceSelf-driving car's navigation requires a very precise localization covering wi...
International audience—In this article, we propose a survey of the Simultaneous Localization And Map...
Accurate and reliable localization in extensive outdoor environments will be a key ability of future...
In the research on autonomous vehicles, self-localization is an important problem to solve. In this ...
There has been an increasing demand for the usage of autonomous (also called self-driving, driver-le...
In recent years, there has been a strong demand for self-driving cars. For safe navigation, self-dri...
The goal of this work is to provide autonomous cars with an alternative method to estimate their po...
La localisation des véhicules est essentielle pour atteindre l'autonomie et les algorithmes SLAM (Si...
The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing progress over th...
International audienceIn this paper, we present a real-time algorithm for local simultaneous localiz...
In order to navigate autonomously, many self-driving vehicles require precise localization within an...