Honda Research Institute Europe Patente

In a method for verifying vehicle usage data reflecting usage of vehicle (2) a vehicle transmits vehicle data (S1, S1', S1", S2) to an observer entity (3.x) when the vehicle (2) and the observer entity (3.x) are in proximity, wherein the vehicle data includes unique vehicle identification information and proximity is defined by an upper threshold for a distance between the vehicle (2) and the observer entity (3.x). The observer entity (3.x) adds data to the vehicle data, the added data including an indication of a position of the observer entity (3.x) and a time stamp indicating a time of reception of the vehicle data to generate joint data. The joint data (S4) is then transmitted to an external database (6) and the aforementioned steps are repeated at least once. From the added data a usage estimation value is calculated which is a measure for usage of the vehicle (2) and which is compared with the vehicle usage data (S16) retrieved from the vehicle (2). Finally, information on validity of the vehicle usage data at least on the basis of the comparison result is generated and output.

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The invention relates to an autonomous vehicle comprising a driving means and a system including such autonomous vehicle. The autonomous vehicle furthermore comprises at least one environment sensing means (10, 11) for sensing an environment of the autonomous vehicle (1). It furthermore comprises a computing unit (7) configured to perform a mapping function and a localization function. The mapping function is performed on the basis of respective signals supplied from the at least one environment sensing means (10, 11) to build up a map. The localization function localizes the autonomous vehicle (1) within the map and generates respective localization information, The autonomous vehicle (1) further comprises a boundary distance sensing means (12, 13) configured to generate a distance signal correlated to a distance between the autonomous vehicle and a boundary indication means (15). The computing unit (7) is configured to receive the distance signal and to perform at least one of the mapping function and the localization function on the basis of a signal from the at least one environment sensing means (10, 11) and the distance signal from the boundary distance sensing means (12, 13). The system comprises in addition to the autonomous vehicle a boundary wire indicating a border of an entire area in which autonomous driving of the autonomous vehicle (1) shall be performed.

A computer-implemented method for a structural optimization of a geometric shape of a physical object with respect to a deformation comprises a step of representing the geometric shape of the physical object in a spectral design representation in the spectral domain, and a step of determining a deformation mode and of generating a spectral descriptor of the deformation mode on the basis of the spectral design representation and spectral representation of the deformed object. The method then performs a structural optimization of a set of design variables using the generated spectral descriptor as a parameter in an objective function of the structural optimization or in at least one constraint of the structural optimization to generate an optimized set of design variables of the physical object,. The method outputs the optimized set of design variables of the physical object.

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In the invention for generating a set of shape descriptors for a set of two or three dimensional geometric shapes in order to arrive at an unified efficient low-dimensional representation of the complete set of shapes to enable memory and disk efficient storage, indexing, referencing, and making the complete set available for further processing, at first a set of N feature locations having a distance from the shapes is read. Further, a set of M wave numbers is read and a parameter controlling degree of locality of the features. Then, for each shapesin the set of shapes {S_s,s= 1, ...,N_s} and for each of the N feature locations and M wave numbers a feature descriptor is calculated according tofsmm=‖R→n‖aγe−ikmRnC∫shape sd3s→eikm‖s→−R→n‖2‖s→−R→n‖αγwhere the integral is summing all contributions from each point of shape s. The calculated feature descriptors are then assigned to elements of an M.N dimensional vector as the shape descriptor for shape sF→s=fsn=1,m=1,fsn=1,m=2,...,fsn=N,m=MTand the complete set of shape descriptors {F_s,s= 1, ... ,N_s} of the set of shapes is output.

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The invention relates to a system and method for assisting a driver in driving a vehicle. First information on an environment of the vehicle is obtained and an instruction from the vehicle driver is received. An evaluation task defining an aspect of a current traffic situation encountered by the vehicle and to be evaluated is defined from the received instruction. An evaluation of the obtained information according to the evaluation task is performed, and an evaluation result is generated. Other aspects of the traffic situation and their relation to the aspect defined in the task are then evaluated additionally. Finally an information on the basis of the evaluation result and the other determined aspects is generated and output.

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The invention relates to an autonomous lawn mower (1') comprising a control unit (5') in electrical connection with electrical connection means (8), and at least one replaceable part (7). The electrical connection means (8) is located such that connection and disconnection of the electrical connection means (8) and its counterpart (9) of the replaceable part (7) can be performed when replacing the replaceable part (7). The module for such autonomous lawn mower (1') can replace the replaceable part (7) of the lawn mower (1') and comprises a signal generation unit (11, 13, 14) and a counterpart (9) for the electrical connection means (8) of the lawn mower (1') for transmitting electrical signals to a control unit (5') of the autonomous lawn mower (1'). The autonomous lawn mower (1') forms an autonomous lawn mower system together with the module (7).

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A method of unsupervised learning of a metric representation and a corresponding system for a mobile device are proposed. The method determines a metric position information for a mobile device from an environmental representation. The mobile device comprises at least one sensor for acquiring sensor data and an odometer system configured to acquire displacement data of the mobile device. The method comprises a step of generating an environmental representation based on the acquired sensor data by applying an unsupervised learning algorithm. The mobile device moves along a trajectory and the displacement data and the sensor data are acquired while the mobile device is moving along the trajectory. In a step of calculating a set of mapping parameters, the set of mapping parameters is calculated based on the environmental representation and the displacement data. In a step of determining the metric position estimation, the metric position estimation is determined based on a further environmental representation and the calculated set of mapping parameters.

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The invention relates to a method for analyzing related images corresponding system and vehicle including such system as well as a computer program product for executing the method which comprises the steps of: - obtaining at least a first and a second image - defining a pixel patch in the first image for which a correlation shall be calculated - calculating matching cost values between each pixel of the pixel patch in the first image and its corresponding pixel in each of a plurality of pixel patches in the second image, wherein the pixel patches in the second image differ in position in the second image and include the pixel patch with a target position - aggregating the matching cost values of those corresponding pixels of all patches in the second image which match best to generate an aggregation window associated with the target position and - producing a signal including information on the target position.

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