Direct Cursus Technology L.l.c

Y.e. Hub Armenia LLC

Dmitry Andreevich Kovalenko

Mikhail Vladimirovich Korobkin

Andrey Anatolevich Minin

Aleksey Dmitrievich Lubenets

Georgy Aleksandrovich Meshkov

Kirill Stanislavovich Luchikhin

Sergey Yurevich Olkhovnikov

Dmitry Aleksandrovich Ivanov

Methods and server for updating a candidate portion of a map representation of a geographical region is disclosed. The server may generate, using a localization algorithm, a set of candidate locations based on a set of point clouds and the map representation. The set of point clouds is being associated with the candidate portion of the map representation. A server may determine, using a convergence metric, a parameter for evaluating quality of localization of the localization algorithm when the SDC is located in the candidate portion of the map representation. The parameter is being indicative of convergence of candidate locations in the set of candidate locations. A server may identify, using the parameter, the candidate portion of the map representation as an outdated portion of the map representation. A server may update the outdated portion of the map representation using the set of point clouds.

Method and a server for updating a map representation

Method and device for processing LIDAR sensor data are disclosed. The method includes (i) receiving from the LIDAR sensor a first dataset having a plurality of first data points representative of respective coordinates and associated with respective normal vectors, (ii) determining an uncertainty parameter for a given first data point based on a normal covariance of the normal vector of the given first data point where the normal covariance takes into account a measurement error of the LIDAR sensor when determining the respective coordinates of the given first data point, (iii) in response to the uncertainty parameter being above a pre-determined threshold, excluding the given first data point from the plurality of first data points, (iv) using the filtered plurality of first data points, instead of the plurality of first data points, for merging the first dataset of the LIDAR sensor with a second dataset of the LIDAR sensor.

Methods and systems for filtering data points when merging LIDAR sensor datasets

Method and device for processing LIDAR sensor data are disclosed. The method includes: receiving a first dataset and a second dataset having pluralities of data points; matching at least some of the plurality of first points with at least some of the plurality of second points, thereby determining a plurality of pairs; for the given one of the plurality of pairs, determining a pair-specific filtering parameter by calculating neighbour beam distances between the given first data point and respective ones the set of neighboring points, a given neighbour beam distance being representative of a linear distance between the given first data point and a respective one of the set of neighbouring points; in response to the pair-specific parameter being positive, excluding the given one of the plurality of pairs from further processing; and processing the reduced plurality of pairs for merging the first dataset and the second dataset.

Methods and systems for processing LIDAR sensor data

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Butovo, Russia

Dmitry Andreevich Kovalenko