Honda Research Institute Europe Gmbh

Herbert Janssen

Hermann Winner

Nils Einecke

Julian Eggert

Martin Heckmann

Christian Goerick

Michael Gienger

Heiko Wersing

Jörg Deigmöller

Tobias Rodemann

Hisashi Sugiura

Oliver Fuchs

Bram Bolder

Marius Hofmann

Nils Magiera

Stephan Kirstein

Inna Mikhailova

The present invention relates to a system for determining a posture of an operator of a device that transmits vibrations to the operator, wherein the system comprises at least one vibration sensor for measuring vibrations at at least one location on the body of the operator and/or the device, and a posture determining means for detecting one or more characteristics of the measured vibrations assigned to a predetermined posture and for determining the predetermined posture as the posture of the operator when the characteristic is detected.

System for estimating riding posture

The invention regards a method, a system and a vehicle for analyzing a rider performance. The vehicle is any vehicle that employs a roll angle change for changing its driving direction. Firstly, physical motion parameters of the vehicle in motion are sensed and the measured data is supplied to computing unit. In the computing unit, segments in a time series of measured data are determined by processing the measured data in the computing unit. Each segment corresponds to a rider control behavior and the plurality of such consecutive rider control behavior build a riding maneuver. In the computing unit, the measured data within one segment for at least one of the segments is analyzed by computing at least one characteristic value for the respective segment and/or the sequence of determined segments is analyzed. Finally, an analysis result indicating the rider performance or rider skills is output.

Method, system and vehicle for analyzing a rider performance

Embodiments of the invention address the area of predictive suspension control system for a vehicle, particularly a two-wheel vehicle such as a motor cycle or a scooter. The system includes a stereo sensor unit which for generating image data, a computing unit which extracts a relevant image portion from the image data based on future vehicle path data, and calculates road unevenness on a future vehicle path of the vehicle based on the generated image data. A suspension control unit generates an adaptation signal for adapting the suspension based on the calculated road unevenness. The computing unit adapts a search direction of a stereo algorithm or a correlation area of the stereo algorithm based on a lean angle of the vehicle to generate the three-dimensional partial image data from the relevant image portion, and fits a road model to the three-dimensional partial image data to calculate the road unevenness.

Predictive suspension control for a vehicle using a stereo camera sensor

The present invention proposes a warning system that can be implemented in any kind of vehicle, in order to efficiently detect moving objects. The system utilizes at least one camera for a continuous imaging of the surroundings of the vehicle. Thereby, moving objects can be monitored. A computing unit is programmed to estimate a motion of any moving object based on a pixel motion in the camera image. If a dangerously moving object is detected, a warning unit can be used for issuing a warning signal. To take such a decision, the estimated motion of at least one of the moving objects can be correlated or compared to predetermined motion patterns.

Video-based warning system for a vehicle

A controller for the motion control of a robot, comprises: 

Autonomous robots with planning in unpredictable, dynamic and complex environments

A robot is provided with a motion control unit that avoids collision between segments of the robot or between segments of the robot and other objects. The motion control unit of the robot comprises a distance computing module, a whole body control module, a collision avoidance module, and a blending control unit. The distance computing module calculates two closest points of different segments of the robot connected to each other via at least one joint or a segment of the robot and another object. The collision avoidance module is provided with the information about the two closest points. The blending control unit combines the weighted output control signals of the whole body control module and the collision avoidance control module. The weight of the whole body control output signal is higher when the risk of collision is lower. The weight of the collision avoidance control output signal is higher when the risk of collision is higher. The collision avoidance module is designed to control a collision avoidance action only in the direction parallel to a line connecting between the two closest points.

Robots with collision avoidance functionality

Growing community of inventors

Dreieich, Germany

Herbert Janssen