Volvo Car Corporation

Volvo Truck Corporation

Zenuity Ab

Jonatan Silvlin

Andreas Eidehall

David Madas

Peter Sundstrom

Mattias Brannstrom

Julia Nilsson

Mohammad Ali

Viktor Runemalm

Lars Johannesson Mårdh

Markus Hammarsten

Albin Manhof

Mats Höwing

Malin Nilsson

David Madås

Peter Sundström

The present invention relates to methods and arrangements for assigning a vehicle to a lane in a road for a vehicle. The proposed solution obtains an estimated pose for the vehicle, projects the pose to nearby lanes, obtains uncertainty values for the pose and lanes, creates a distribution by combining the pose and lane uncertainties, creates a momentary likelihood for the vehicle being in each lane, adjusts the momentary likelihoods with prior values obtained in a previous iteration, and determines the most likely lane.

Method for assigning ego vehicle to a lane

A method is for providing an object prediction representation. In an embodiment, the method includes simulating movement of a host vehicle and an object in a longitudinal-lateral coordinate system based on their initial positions at the starting time and a movement of the host vehicle and determined movement of the object. Points in time when at least one reference point of the host vehicle and an object reference point of a plurality of object reference points have the same longitudinal position are detected. Further, for each detected point in time, an associated lateral position of the object reference point at the detected point in time is detected.

Method for providing an object prediction representation

The present invention relates to a method for determining an evasive path for a host vehicle (), the method i.a. comprising: establishing (S) a predicted traffic environment () of the host vehicle in a time-lateral position domain, the predicted traffic environment comprising an object prediction representation () of a traffic object; determining (S) a start node () for the host vehicle; defining (S) an end node () for the host vehicle; placing (S) several boundary nodes () relative to the object prediction representation; setting (S) node connections (--) between the start node, the boundary nodes, and the end node; and traversing (S) the nodes using a graph-search algorithm in order to find a path from the start node to the end time with a lowest cost.

Method for determining an evasive path for a host vehicle

A gap selection method performed by a gap selection system for a vehicle. The vehicle travels on a road having a first lane and a second lane adjacent to the first. The vehicle travels in the first lane, a first surrounding vehicle travels in the second lane, a second surrounding vehicle travels in the second lane ahead of the first surrounding vehicle with a first gap between the first and second surrounding vehicles. The method includes determining a first minimum safety margin between the first surrounding vehicle and the vehicle, determining a second minimum safety margin between the second surrounding vehicle and the vehicle, evaluating the first gap by determining a minimum limit for a longitudinal position of the vehicle, determining a maximum limit for a longitudinal position of the vehicle, and determining a lane change appropriateness value of the first gap utilizing the minimum limit and the maximum limit.

Gap selection method and system

A method is disclosed for suppressing or deactivating a lane keeping assist (LKA) system in a host vehicle. The method may include retrieving environmental data from a data gathering system, determining a current lane width based on the environmental data retrieved from the data gathering system, and comparing the current lane width with a pre-set lane width. The method may also include determining that the current lane width is smaller than the pre-set lane width, detecting the presence of an obstacle on the traveling path which obstacle will be passed by the host vehicle or which obstacle will pass the host vehicle within a pre-determined time period, and deactivating or suppressing the lane keeping assist (LKA) system.

Lane keeping suppressing system and method

A driver intention estimation arrangement is provided to estimate a level of overtaking intention of a driver of a vehicle hosting the arrangement. The arrangement includes a driver eye monitoring unit configured to monitor a gaze direction (g) of at least one eye of the driver, and a processing unit configured to analyze the gaze direction (g). The processing unit is configured to estimate the level of overtaking intention on the basis of the gaze direction (g). A forward collision warning system, an autonomous brake system, a vehicle, and a method of estimating a level of overtaking intention of a host vehicle driver are also provided.

Driver intention estimation arrangement

Growing community of inventors

Gothenburg, Sweden

Jonatan Silvlin