Pierre Merriaux

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In this paper, we propose a car positioning approach that does not rely on GPS. We propose to use car wheel speeds and road maps in order to achieve robust positioning of the vehicle. The vehicle positioning is achieved by applying particle filtering on a graph-based representation of a road map. We show that the vehicle positioning is feasible and robust(More)
In this paper, we present a car self-localization approach based on free inputs. We propose to use wheel speeds, which is available on most car through the CAN bus, and community developed road maps. A particle filter framework is used to achieve self-localization on a graph-based representation of a road map. Our results suggests that self-localization and(More)
In this paper, we tackle the problem of map estimation from small set of vehicular GPS traces collected from low cost devices. Contrary to the existing works, we rely only on GPS information. First, we propose a fast implementation of Kalman filtering of spline-based road modeling. Our approach demonstrates a significant boost of the computation speed while(More)
Estimating vehicle position on road maps is important for many ITS applications. Advanced Driver Assistance System (ADAS) may expect robust positioning invariant to day time, weather or simplifications induced by the topological representations of road maps. This paper describes a particle filter approach used to achieve vehicle positioning on freely(More)
This article studies the feasibility of an exteroceptive system for the contactless control of a motion-compensated gangway which can be used for maintenance operations on offshore wind farms. Our study shows that current systems based only on inertial systems are not accurate enough to ensure the gangway is held in place without being secured mechanically.(More)
For decades, scientists have dreamed of building autonomous cars that can drive without a human driver. Progress in this kind of research recently received an increasing attention in car industries. There are many autonomous car models recently developed. However, they are still infancy since they still lack efficiency and reliability. To obtain efficient(More)
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