Tomtom Global Content B.v.

Tomtom Belgium N.v.

Filip Ballegeer

Krzysztof Miksa

Cornelis Pieter Schuerman

Gaëtan Martens

Michal Dominik Rosikiewicz

Martijn Franciscus Rosalia Mortier

Disclosed herein is a technique for generating and providing an indication to an autonomous vehicle regarding the confidence level for the accuracy or quality of the map data in which the indication is determined from observation data received from other vehicles.

High definition map metadata for autonomous vehicles

The invention relates to a method of obtaining and storing data relating to a count of journeys made between origin and destination pairs in respect of different predetermined time periods. Positional data is received from vehicles, and filtered to obtain positional data relating to travel between each of a plurality of origin-destination pairs. The filtered positional data is analysed to obtain multiple sets of profiles. Each set of profiles represents a count of journeys made between the origin and destination in a plurality of predetermined time periods for each origin-destination pair. The different sets of profiles relate to different days of the week, and journeys having arrival or departure times in the predetermined time periods. The sets of profiles are used in a clustering operation to provide a reduced set of standard profiles. Location information identifying each origin-destination pair is stored in association with data representing the or each standard profile which can be taken to represent the one or more profiles in respect of the origin-destination pair.

Digital location-based data methods and product

Growing community of inventors

Bruges, Belgium

Filip Ballegeer