Robert Boschgmbh

Daimler Ag

Mercedes-benz Group Ag

Philipp Lehner

Michael Schumann

Volker Niemz

Pascal Kanter

Holger Mielenz

Jan Rohde

Martin Mueller

Dirk Schmid

Michael Scherl

Christian Danz

Karsten Muehlmann

Markus Becker

Volker Hofsaess

Raphael Cano

Peter Preissler

Wei-Chia Lee

Helmuth Eggers

Michael Pagel

Jan Egelhaaf

Benjamin Voelz

Gunther Schaaf

Joerg Heckel

Gernot Schroeder

Martin Meinke

Henning Von Zitzewitz

David Peter

Christian Heigele

Leo Vepa

Manuel Schaefer

Markus Gressmann

Matthias Pfender

Markus Enzweiler

Axel Fink

A method for identifying blooming candidates in a Lidar measurement may include providing a distance-based histogram of points of a point cloud generated in the Lidar measurement. In the histogram, clusters of points having the same distance to a Lidar sensor carrying out the Lidar measurement are identified and intensities of the points of a cluster are evaluated. If the cluster contains points, the intensities of which exceed in each case a predefined limit value, those points of the cluster, the intensities of which do not exceed in each case the predefined limit value and in particular fall below the predefined limit value by more than a predefined threshold value, are classified as blooming candidates.

Method and device for identifying blooming candidates in a Lidar measurement

A method and apparatus for detecting surroundings around a vehicle may include the step of periodically scanning the surroundings in a first detection region by a laser scanner. The method may also include detecting the surroundings in a second detection region by an optical camera. The first detection region and the second detection region may at least overlap each other. An optical sensor in the camera may be exposed at least twice within one period of the laser scanner. A first exposure time for a first exposure of the at least two exposures of the optical sensor may be chosen and synchronized with the laser scanner so that the first exposure occurs within a first time window, in which the laser scanner scans the first detection region.

Method and apparatus for detecting surroundings, and vehicle with such an apparatus

A method for providing vehicle-trajectory information. The method includes a read-in task, in which at least one item of inertial information is read in that indicates at least one parameter of a movement of a vehicle during travel. In addition, the method includes an acquisition task, in which location information is acquired that indicates the position of the vehicle during the movement. In a last determination task, the vehicle-trajectory information is determined using the inertial information and the location information, the vehicle-trajectory information representing the movement of the vehicle at the position.

Method for providing vehicle-trajectory information and method for locating a pothole

A method for the optimized use of a parking area. Vehicles which are to be parked on the parking area are each assigned a parking space, the vehicles navigating to the respective assigned parking space, in particular autonomously. Furthermore, vehicles may carry out a change of the parking space in order to enable an improved use of the available parking area or a faster availability of the vehicle, whereby overall an optimized use of the parking area is achieved. Initially, an available range of the respective vehicles is ascertained, and the assignment of the respective parking space and/or a possible change of the parking space are made dependent on the available range of the individual vehicles. The available range of a vehicle is in particular described by a residual fuel amount or a charge state of the vehicle.

Valet parking method

A method for operating a vehicle equipped with a surroundings sensor system is provided. In the method, at least one preceding and/or oncoming two-wheeler is detected at least as a function of data of the surroundings sensor system. In addition, an angle of inclination of the two-wheeler is ascertained at least as a function of data of the surroundings sensor system and a movement path of the two-wheeler is predicted based on the ascertained angle of inclination. The operation of the vehicle takes place in this case based on the predicted movement path.

Inclination detection in two-wheelers

A method for monitoring and signaling a traffic situation in the surrounding environment of a vehicle, a sensor acquiring a surrounding environment of the vehicle, an object at risk being recognized in the acquired environment, a collision probability and a prediction reliability being determined for the recognized object at risk, and when there is a given collision probability and a low prediction reliability an action of a first type being carried out, and when there is a given collision probability and a high prediction reliability an action of a second type being carried out. The present invention further relates to a driver assistance system for carrying out the method.

Method for monitoring and signaling a traffic situation in the surroundings of a vehicle

A method for transferring data from an image-data-based map service for use in an assistance system of a vehicle includes the following: ascertaining the position and/or orientation of the vehicle, retrieving image data of the vehicle surroundings from the image-data-based map service, extracting items of information from the image data of the map service, and transferring the items of information into the assistance system.

Transfer of data from image-data-based map services into an assistance system

A device for detecting objects in the blind spot on a side of vehicle includes a ranging main sensor, an auxiliary sensor, a comparison unit, and an output unit for outputting a warning signal which indicates objects in the blind spot. The detection range of the main sensor extends in the rear area of the vehicle and toward the respective vehicle side. The auxiliary sensor has a detection range which extends angularly offset to the detection range of the main sensor in the rear area of the vehicle. The comparison unit ascertains whether the detected object is a following vehicle on the basis of predefined correlations between the detection signals of the main sensor and the auxiliary sensor, and the detection unit blocks the output unit from outputting a warning signal when a following vehicle is recognized.

Device for detecting objects in the blind spot of a vehicle

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Muehlacker, Germany

Philipp Lehner