Zenuity Ab

Roza Maghsood

Tony Gustafsson

Erik Stenborg

Anders Hansson

Mats Kvarnström

Joakim Sörstedt

Andreas Löfman

Linlin Guo

Ellen Korsberg

Eliza Nordén

Eliza NORDÉN

Joakim SÖRSTEDT

Andreas LÖFMAN

The present disclosure relates to lane-level map matching for a vehicle. The method includes receiving vehicle data including a geographical position of the vehicle, a heading of the vehicle, and a speed of the vehicle and receiving sensor data from a perception system of the vehicle. The sensor data includes information about a position of at least one road reference in a surrounding environment of the vehicle. Operations include receiving map data including a lane geometry of the surrounding environment of the vehicle, the lane geometry including a set of candidate lanes. Operations include forming a state space model including a set of states. Each state of the set of states represents a candidate lane of the set of candidate lanes, and defining a cost for going from each state to every other state of the set of states based on the received vehicle data and the received sensor data.

Lane-level map matching

Described herein is a method and arrangement () for sourcing of location information, generating and updating maps () representing the location. From at least two road vehicle () passages at the location is obtained () vehicle registered data on the surrounding environment from environment sensors and positioning data from consumer-grade satellite positioning arrangements and from at least one of an inertial measurement unit and a wheel speed sensor. The positioning data is smoothed () to establish continuous trajectories for the respective vehicles (). Individual surrounding environment maps are created using the data from each respective vehicle () passage at the location. From the individual surrounding environment maps are identified submaps () sharing area segments. Pairs of submaps () sharing area segments are cross-correlated (). The information from the pairwise cross-correlation () of submaps () is used for optimizing each submaps () offset relative a full map () of the surrounding environment and the submaps () are merged into the full map ().

Method and arrangement for sourcing of location information, generating and updating maps representing the location

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Västra Frölunda, Sweden

Roza Maghsood