Honda Research Institute Europe Gmbh

Sproutel, Inc.

Honda Motor Co., Ltd.

Thomas Weisswange

Aaron Jay Horowitz

Joel B Schwartz

Jens Schmüdderich

Jannik Fritsch

Christian Goerick

Marcus Kleinehagenbrock

Tim Puphal

Malte Probst

Dirk Ruiken

Raphael Wenzel

Andrew Vernall

Martin Weigel

Edoardo Casapietra

Jonathan Banton

Jens Schmuedderich

Ruben Albers

Judith Dörrenbächer

A method and corresponding system for improving an interaction process in a social network for a user with at least one other person is provided. The method comprises a step of, in a training phase, acquiring sensor data on at least a user state and interaction data on a social interaction of a human person with the at least one other person. The acquired sensor data and the interaction data is then analyzed in order to generate classifier data from the acquired sensor data and the acquired interaction data. In a subsequent application phase, the method acquires current sensor data on at least the user state of the at least one other person, predicts an interaction score for the user based on the acquired current sensor data and the classifier data, and generates an interaction identifier for the user for an interaction with the at least one other person in the social network based on the predicted interaction score.

Social interaction opportunity detection method and system

A method and system for assisting operation of an ego-vehicle in the traffic situation with shared traffic space is provided, in which a future path for the ego-vehicle and a future path for another traffic participant and a relevant path corridor for each determine future path is determined. Based thereon, an overlap of the path corridors to define a shared traffic space is determined and individual distance measures between the ego-vehicle and the shared traffic space and between the other traffic participant and the shared traffic space are calculated to determine an asymmetry. Based on the asymmetry an order is determined and (partially) automated in accordance with trajectory determined based on the order, or information on the intended passing order is provided to the ego-vehicle driver.

Method, system and vehicle for assisting an operator of the vehicle in assessing a traffic situation with shared traffic space

The present disclosure relates to a system for reminding a person to perform an activity. The system comprise a robot configured to carry out different behaviors, wherein the activity and its corresponding trigger condition are set by a user and the system selects, from the different behaviors, a first behavior assigned to the activity, senses the person, determines, based on the sensors information, whether or not the activity is performed by the person in accordance with the trigger condition. The robot carries out the selected behavior if the activity is not performed by the person in accordance with the trigger condition, wherein after or during the selected behavior is carried out, an activity of the person is determined based on the information derived from the sensors to select a second behavior from the different behaviors.

Interactive reminder companion

The invention relates to a vehicle control device adapted to be mounted in a host vehicle (H), the vehicle control device comprising an environment monitoring unit adapted and configured to monitor the environment of the host vehicle (H) and to provide corresponding environment monitoring data, and a lane change request generating unit adapted and configured to determine based upon the environment monitoring data whether the generation of a request for a lane change of the host vehicle (H) from a current lane (CL) to a lower-ranking lane (RL) is to be initiated (arrow A) or is to be suppressed (arrow A), if the environment monitoring data indicate that at least one succeeding vehicle (S) driving in the same lane as the host vehicle (H) approaches the host vehicle from behind at a speed higher than the speed of the host vehicle (H).

Vehicle control device, vehicle control method and vehicle control program

Communication device

The invention is related to a method and vehicle comprising a driver seat and at least one passenger seat for providing a co-driver and/or fellow passenger with information on a currently experienced driving situation. In an estimating unit at least one driver parameter is estimated. The driver parameter describes at least one aspect of current driving action performed by the driver of the vehicle. Furthermore, in the estimating unit at least one traffic situation parameter is estimated describing at least an aspect of the traffic situation encountered by the vehicle. From the at least one driver parameter and/or from the at least one traffic situation parameter then information that is related to the currently experienced driving situation is generated. This information is then output to a co-driver and/or fellow passenger via a dedicated interface unit.

Vehicle with a driver seat and at least one passenger seat and a method for providing a co-driver and/or at least one fellow passenger with information on a currently experienced driving situation

A method and a system computationally performs scene analysis of semantic traffic spaces based on an adaptive spatio-temporal ray-based approach. The method includes acquiring a spatial semantic environment map including semantic context data, calculating at least one feature for at least one location on the spatial environment map taking into account the semantic context of the location and determining a category for the at least one location based on the at least one calculated feature. A feature is a ray based feature calculated by integrating input values along at least one ray extending in least one of a space dimension and a time dimension. The ray may have a ray shape corresponding to a general shape of a road and/or the at least one spatially extending ray follows a course of the road and/or is perpendicular to a surrounding road segment orientation.

Method and system for adaptive ray based scene analysis of semantic traffic spaces and vehicle equipped with such system

An environment of an ego vehicle is physically sensed and sensor data is produced. A representation of the environment is generated. The representation includes a plurality of representation segments each of which corresponds to a limited area of the environment. Characteristic information is generated for at least a part of the limited areas of the environment and the characteristic information is assigned to the representation segment which corresponds to the respective area of the environment. Furthermore, future or past movement behavior for a traffic object is estimated and characteristic information for at least one limited area of the environment is inferred based upon the estimated movement behavior. This characteristic information is assigned to the representation segment corresponding to the respective area of the environment and an evaluation is performed for determining a preferred path for the ego vehicle. An assistance signal based on the determined path is output.

Method for assisting a driver in driving an ego vehicle and corresponding driver assistance system

The invention regards to a method for assisting a driver in driving a vehicle, comprising the steps of producing sensor data by at least one sensor physically sensing the environment of a host vehicle and/or obtaining data conveying information about the environment of a host vehicle, generating a plurality of representation segments each segment being a portion of an entire area of representation of the environment of the host vehicle at a particular point in time wherein a relative position of the portion of such representation segment with respect to a current position of the host vehicle corresponds to a possible position of the host vehicle at that particular point in time, combining the representation segments to a spatio-temporal representation of the environment of the host vehicle; evaluating the spatio-temporal representation and outputting an assistance signal on the basis of an evaluation result.

Growing community of inventors

Offenbach, Germany

Thomas Weisswange