Tomtom Navigation B.v.

Lauri Koponen

Rui Sun

Alexandru Serbanescu

Stanislav Zheltov

Adrian-Victor Manoliu

Sergey Yuryevich Trofimov

Alexander Raginsky

Johannes G M Schaminee

Johannes Schaminee

An advanced map matching algorithm is disclosed, which embeds the road topology inherently in a set of path candidates. Road connectivity is maintained even in special situations such as U-turns, reverse driving, and tunnels. Careful path candidate management is designed to reduce the candidate count while preserving well-matching candidates. Paths are treated and evaluated independently using multiple criteria, which makes the algorithm reliable and robust in different scenarios.

Methods and systems for map matching

A method of generating a horizon for use by an ADAS of a vehicle involves using digital location-based data, driver data and/or vehicle data to determine the likelihood that different outgoing paths are taken at a decision point along a currently traversed road segment, and deriving a probability that each path may be taken. The probability may be based on one or more of: an angle of the path relative to the incoming path, the road class of the path, a speed profile of the path, historical paths taken by vehicles at the decision point, and historical paths taken at the decision point by the individual driver or vehicle.

Methods and systems for generating a horizon for use in an advanced driver assistance system (ADAS)

Methods and systems for map matching by using two separate criteria

Methods and systems for generating a horizon for use in advanced driver  assistance system (ADAS)

Growing community of inventors

Amsterdam, Netherlands

Lauri Koponen