Robert Boschgmbh

Laszlo Anka

Kornel Istvan Kis

Levente Kis

Chun Yang

Vilmos Szabo

Adam Rigo

A method for predicting whether another vehicle in the driving-environment of an ego-vehicle will execute a lane-change, based on observations of the driving-environment of the ego-vehicle, including: the observations are supplied to individual classificators; based on at least a portion of the observations, each individual classificator, in accordance with an individual instruction, ascertains an individual probability that the other vehicle will change lanes; the driving situation in which the ego-vehicle finds itself is classified as a whole by a situation classificator into one of several discrete classes; a record of weighting factors, assigned to the class into which the situation-classificator has classified the driving-situation, is ascertained, that indicates the relative weighting of the individual classificators for this driving situation; the individual probabilities are set off against the weighting-factors to form an overall probability that the other vehicle will change lanes. A method for training weighting-factors and related computer-program are described.

Predicting lane changes of other vehicles

A driving assistance method for a vehicle, in which in a training phase, the vehicle is steered by a driver through a setpoint course to a setpoint destination position, and setpoint course data are gathered in the process, in a replay phase, the vehicle is steered automatically through an actual course, actual course data are gathered in the process and, via a comparison of actual course data to setpoint course data, the steering of the vehicle is carried out so that the actual course is adapted/being adapted to the setpoint course and ends in an area of the setpoint destination position; and images of the vehicle surroundings are recorded with a camera as setpoint course data at setpoint positions, spaced equidistantly on a setpoint driving route of the setpoint course, and edge segments, feature points and corresponding descriptors are determined from an image processing for each image.

Growing community of inventors

Heilbronn, Germany

Laszlo Anka