Abstract: A method for detecting buried longitudinal structures using a ground-penetrating radar, the method includes the steps of: acquiring a plurality of radar signals for a region of ground, determining, based on the radar signals, a 3D point cloud, each point corresponding to one radar detection and being geolocated in space, selecting, from the 3D point cloud, at least one set of points comprising a number of points higher than or equal to a minimum detection threshold allowing a longitudinal structure to be characterized, the points of the set being substantially aligned with one another.

Abstract: A method for detecting an obstacle includes the steps of: calculating, for each point of a space around a telemeter, a plurality of corresponding intermediate probabilities of presence, each intermediate probability of presence being associated with a respective orientation of the telemeter among a plurality of predetermined orientations around a current orientation of the telemeter, each orientation being certain; for each point of space, calculating a probability of the presence of an obstacle from each corresponding intermediate probability of presence and from an uncertainty model on the orientation of the telemeter; and generating an alert if the probability of the presence of an obstacle in a predetermined zone with respect to the telemeter is greater than or equal to a predetermined alert threshold.

Abstract: A method is provided for collaboratively detecting tangible bodies in an environment employing a plurality of distance sensors with which respective carriers are equipped, including: for each sensor, acquiring a series of measurements of distance of a closest tangible body along a line of sight; applying an inverse model of the sensor on a local occupancy grid; and constructing a consolidated local occupancy grid via Bayesian fusion of the occupancy probabilities thus determined; and, computing occupancy probabilities of the cells of a global occupancy grid via Bayesian fusion of the occupancy probabilities of corresponding cells of at least certain of said consolidated local occupancy grids. A system for implementing such a method is also provided.

Abstract: A method for detecting an obstacle includes the steps of: calculating, for each point of a space around a telemeter, a plurality of corresponding intermediate probabilities of presence, each intermediate probability of presence being associated with a respective orientation of the telemeter among a plurality of predetermined orientations around a current orientation of the telemeter, each orientation being certain; for each point of space, calculating a probability of the presence of an obstacle from each corresponding intermediate probability of presence and from an uncertainty model on the orientation of the telemeter; and generating an alert if the probability of the presence of an obstacle in a predetermined zone with respect to the telemeter is greater than or equal to a predetermined alert threshold.

Abstract: A method of localising an access point (B1, B2, B3) to a communication network; The method comprises the following steps: reconstruction of a trajectory (P1, P2, P3, P4) followed by a mobile device during a displacement during which it makes measurements of an indicator related to the distance separating it from the access point; determination of a localisation (T1, T2, T3) at which each of the measurements on the trajectory is made; calculation for each measurement of a difference between the distance separating a possible localisation of the access point from the location at which the measurement is made and a distance estimated from the measurement and a propagation model relating the indicator and the distance, and calculation of a localisation error from the calculated differences. The propagation model is updated at each evaluation of a possible localisation of the access point.

Abstract: In a method for locating mobile devices, a trajectory (T1, T2) is reconstructed modelling a movement made by each mobile device during which the mobile device carries out measurements of an indicator linked to the distance separating it from access terminals (B1-B5) to a communication network. From these measurements, the locations of the terminals are calculated in a frame of reference linked to each mobile device. A procrustean analysis is then performed to determine, for each mobile device, a geometric transformation that transforms the locations of the terminals in the frame of reference linked to the mobile device into locations transformed in a common frame of reference. From this determination, the location of each terminal transformed in the common frame of reference is superimposed with a location of the terminal in the common frame of reference. Finally, the corresponding geometric transformation is applied to the trajectory of each mobile device.

Abstract: In a method for locating mobile devices, a trajectory (T1, T2) is reconstructed modelling a movement made by each mobile device during which the mobile device carries out measurements of an indicator linked to the distance separating it from access terminals (B1-B5) to a communication network. From these measurements, the locations of the terminals are calculated in a frame of reference linked to each mobile device. A procrustean analysis is then performed to determine, for each mobile device, a geometric transformation that transforms the locations of the terminals in the frame of reference linked to the mobile device into locations transformed in a common frame of reference. From this determination, the location of each terminal transformed in the common frame of reference is superimposed with a location of the terminal in the common frame of reference. Finally, the corresponding geometric transformation is applied to the trajectory of each mobile device.

Abstract: A method of localising an access point (B1, B2, B3) to a communication network; The method comprises the following steps: reconstruction of a trajectory (P1, P2, P3, P4) followed by a mobile device during a displacement during which it makes measurements of an indicator related to the distance separating it from the access point; determination of a localisation (T1, T2, T3) at which each of the measurements on the trajectory is made; calculation for each measurement of a difference between the distance separating a possible localisation of the access point from the location at which the measurement is made and a distance estimated from the measurement and a propagation model relating the indicator and the distance, and calculation of a localisation error from the calculated differences. The propagation model is updated at each evaluation of a possible localisation of the access point.