Honda Research Institute Europe Gmbh

Honda Motor Co., Ltd.

Christian Goerick

Julian Eggert

Yoshiaki Sakagami

Bernd Heisele

Frank Joublin

Heiko Wersing

Thomas Weisswange

Herbert Janssen

Andreas Richter

Jannik Fritsch

Edgar Körner

Dirk Ruiken

Hisashi Sugiura

Mark Dunn

Benjamin Dittes

Martin Schneider

Antonello Ceravola

Bernard Sendhoff

Jens Gayko

Jan Fritsch

Bram Bolder

Edoardo Casapietra

Martin Weigel

Manuel Dietrich

Ruben Albers

Judith Dörrenbächer

Inna Mikhailova

Stephan Kirstein

The invention regards a controller for controlling an output power of an electric vehicle, such vehicle and a respective method. The controller is configured to operate in a drive mode controlling electrical energy to a motor generating torque for driving the vehicle based on a throttle input signal. The controller is further configured to receive, in addition to the throttle input signal, a further user controllable signal and to switch the controller in response to such user controllable signal to a maximum power mode for a time interval, wherein in the maximum power mode the maximum electrical energy that can be delivered to the motor is increased compared to the drive mode.

Controller for controlling an output power of an electric vehicle, electric vehicle comprising such controller and corresponding method

A system for automated execution of a maneuver or behavior determines at first a situation in which the system currently is based on environment sensing. Then, based on the determined situation, maneuver options or behavior options are determined. Such options are maneuvers or behaviors which potentially can be executed by the system in the determined situation. Then information on at least one of the determined maneuver options or behavior options are output using a haptic display. The system receives an input selecting one of the options from a user. On the basis of the selected option then the selected option or maneuver is executed in an automated fashion.

System and method for automated execution of a maneuver or behavior of a 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 present invention provides an Advanced Driver Assistant System (ADAS)and an operating method thereof, which work on long time scales, and guide an ego vehicleaway from upcoming risks, rather than only reacting to risks to mitigate the consequences of a crash. To this end, information comprising the orientation of other traffic participants, a free driving area of the ego vehicle, and/or a driving trajectory of the vehicleas intended by the driver is taken into account, in order to determine potential risks.

Orientation sensitive traffic collision warning system

The invention provides a driver assistance method, comprising the steps of: sensing a vehicle's state and the environment, on the basis of sensing output signals, determining whether a critical state of the vehicle is to be expected in the future, if yes, determining a total amount and a time duration of an activation of at least one vehicle actuator required in order to avoid occurrence of the critical state, the activation being of a nature which can be sensed by the driver of the vehicle, and partially performing, by a control module, the activation, i.e. for a portion of the amount and/or a portion of the time duration of the determined total amount and time duration.

Driver assistance system

A vehicle periphery monitoring deviceis equipped with a first recognizing unitwhich recognizes a shape of a road in a traveling direction of a self vehicle C, a second recognizing unitwhich recognizes a position of an object M existing in a periphery of the self vehicle C, an estimating unitwhich estimates a moving direction of the object M from the position recognized by the second recognizing unit, and a contact avoiding process unitwhich determines whether or not to perform an avoiding process for avoiding contact between the self vehicle C and the object M, on the basis of a relationship between the shape of the road recognized by the first recognizing unitand the moving direction of the object M estimated by the estimating unit

Vehicle periphery monitoring device

One embodiment of the present invention provides a method for supporting the development of a parallel/distributed application, wherein the development process comprises a design phase, an implementation phase and a test phase. A script language can be provided in the design phase for representing elements of a connectivity graph and the connectivity between them. In the implementation phase, modules can be provided for implementing functionality of the application, executors can be provided for defining a type of execution for the modules, and process-instances can be provided for distributing the application over several computing devices. In the test phase, abstraction levels can be provided for monitoring and testing the application.

Development of parallel/distributed applications

A driver assistance system with an architecture of general use for applications related to driver assistance, passenger safety and comfort and communication with external systems, e.g. for diagnosis and maintenance purposes, comprises (in one embodiment): a first interface for sensing external signals coming from the environment of a vehicle, a second interface for sensing internal signals of the vehicle, a first subsystem for fusing the output signals of the first interface and the second interface in order to generate a representation of the vehicle's environment, a second subsystem for modeling the current state of the vehicle being provided with the output signals of the first subsystem, a third subsystem for modeling the behavior of a driver, a fourth subsystem for interpreting the current scene represented by the first subsystem in order to determine characteristic states of the current external situation of the vehicle, and a fifth subsystem that generates stimuli for the actuators of the vehicle and/or the driver based on the output signals of the second, the third and the fourth subsystem.

Driver assistance system with vehicle states, environment and driver intention

A method for generating a saliency map for a robot device having sensor means, the saliency map indicating to the robot device patterns in the input space of the sensor means which are important for carrying out a task; wherein the saliency map comprises a weighted contribution from a disparity saliency selection carried out on the basis of depth information gathered from the sensor means, such that a weighted priority is allocated to patterns being within a defined peripersonal space in the environment of the sensor means.

Peripersonal space and object recognition for humanoid robots

One embodiment of the present invention provides a method for gathering information from an environment. In a first step, visual information is gathered from the environment. In a second step, information actively transmitted by objects in the environment is received. According to one embodiment, the information actively transmitted by objects in the environment is received wirelessly. In a third step, the visual information is combined with the received information in order to recognize objects.

Integrating visual and object information in a pervasive computing environment

Growing community of inventors

Seligenstadt, Germany

Christian Goerick