[Departement_IRSTEA]EA [TR1_IRSTEA]TESAD / MOSTTo guide a vehicle, the localization system must provide an accurate and reliable estimation. Generally, the estimation of the vehicle's state is dealt with a Bayesian approach like a Kalman filter. However, if this technique is a good mean to merge information of different sensors, it gives any idea of the result's reliability. We propose here to include a confidence level on the estimated vehicle's pose. This confidence level is updated after each landmark detection. This update is function of characteristics of the perception system. Thus, we propose also a method to characterise feature detection algorithms in order to obtain the most realistic confidence level. We demonstrate the practical...
Localization of a robot is a central theme of dif-ferent elaborations. But the determination of an e...
This paper presents a Monte Carlo localization algorithm for an autonomous car based on an integrati...
Camera pose estimation in large-scale environments is still an open question and, despite recent pro...
[Departement_IRSTEA]EA [TR1_IRSTEA]TESAD / MOSTMarkov localization is one of the effective technique...
[Departement_IRSTEA]EA [TR1_IRSTEA]TESAD / MOSTOne of the major current developments in outdoor robo...
[Departement_IRSTEA]EA [TR1_IRSTEA]TESAD / MOST [Coll_IRSTEA]IEEE Catalog No.:06EX1311COne of the ma...
The main objective of this paper is to discuss a platform which can provide accurate information to ...
This paper discusses mobile robot localization using a single, fixed camera that is capable of detec...
In this paper, we outline the sensing system used for the visual pose control of our experimental ca...
Abstract. For the realization of driving assistance and safety systems vehicles are being increasing...
Abstract — Intelligent vehicles require accurate localization relative to a map to ensure safe trave...
Localization is an essential basic capability for vehicles to be able to navigate autonomously on th...
We present an approach to vision-based mobile robot localisation. That is, the task of obtaining a p...
This study develops a statistical approach to the automatic detection of vehicles. Compared to tradi...
International audienceIn this article, we present the application of our Generic Focusing Algorithm ...
Localization of a robot is a central theme of dif-ferent elaborations. But the determination of an e...
This paper presents a Monte Carlo localization algorithm for an autonomous car based on an integrati...
Camera pose estimation in large-scale environments is still an open question and, despite recent pro...
[Departement_IRSTEA]EA [TR1_IRSTEA]TESAD / MOSTMarkov localization is one of the effective technique...
[Departement_IRSTEA]EA [TR1_IRSTEA]TESAD / MOSTOne of the major current developments in outdoor robo...
[Departement_IRSTEA]EA [TR1_IRSTEA]TESAD / MOST [Coll_IRSTEA]IEEE Catalog No.:06EX1311COne of the ma...
The main objective of this paper is to discuss a platform which can provide accurate information to ...
This paper discusses mobile robot localization using a single, fixed camera that is capable of detec...
In this paper, we outline the sensing system used for the visual pose control of our experimental ca...
Abstract. For the realization of driving assistance and safety systems vehicles are being increasing...
Abstract — Intelligent vehicles require accurate localization relative to a map to ensure safe trave...
Localization is an essential basic capability for vehicles to be able to navigate autonomously on th...
We present an approach to vision-based mobile robot localisation. That is, the task of obtaining a p...
This study develops a statistical approach to the automatic detection of vehicles. Compared to tradi...
International audienceIn this article, we present the application of our Generic Focusing Algorithm ...
Localization of a robot is a central theme of dif-ferent elaborations. But the determination of an e...
This paper presents a Monte Carlo localization algorithm for an autonomous car based on an integrati...
Camera pose estimation in large-scale environments is still an open question and, despite recent pro...