Abstract: The present disclosure relates to image modification such as an image enhancement wherein the processing is at least partially based on neural networks. In particular, the image modification includes a multi-channel processing in which a primary channel is processed separately and secondary channels are processed based on the processed primary channel. The primary channel is processed based on a first spatial frequency transform to obtain a transformed primary channel and the secondary channel is processed based on a second spatial frequency transform to obtain a transformed secondary channel. The transformed primary channel is processed by means of a first neural network to obtain a modified transformed primary channel and the transformed secondary channel is processed based on the transformed primary channel by means of a second neural network to obtain a modified transformed secondary channel.

Abstract: The present disclosure relates to image modification such as an image enhancement. The image enhancement may be applied for any image modification and it may be applied during or after image encoding and/or decoding, e.g. as a loop filter or a post filter. In particular, the image modification includes a multi-channel processing in which a primary channel is processed separately and secondary channels are processed based on the processed primary channel. The processing is based on a neural network. In order to enhance the image modification performance, prior to applying the modification, the image channels are analyzed and a primary channel and the secondary channels are determined, which may vary for multiples of images, images or image areas.

Abstract: In an embodiment of the invention there is provided a method of visual localization, comprising: generating a plurality of virtual views, wherein each of the virtual views is associated with a location; obtaining a query image; determining the location where the query image was obtained on the basis of a comparison of the query image with said virtual views.

Abstract: There is provided a visual localization method comprising: (a) transmitting data representative of one or more detected visual features from a mobile device to a server; (b) estimating the location of the mobile device at the server based on the visual features received from the mobile device; (c) transmitting reference data associated with the estimated location from the server to the mobile device; and (d) the mobile device determining its location based on the reference data received from the server.

Abstract: In an embodiment of the invention there is provided a method of visual localization, comprising: generating a plurality of virtual views, wherein each of the virtual views is associated with a location; obtaining a query image; determining the location where the query image was obtained on the basis of a comparison of the query image with said virtual views.

Abstract: Encoding device for encoding vibrotactile multichannel signals, includes an encoder input module configured to receive a multichannel signal; a transform module adapted to execute a discrete wavelet transform of each channel of the multichannel signal and to generate a respective frequency range representation of each channel; a psychohaptic model unit designed to allocate to each channel, based on the respective frequency range representation, a mathematical representation of human perception of the channel; a clustering module configured to group, based on the allocated mathematical representation and a similarity measure of the channels, the wavelet-transformed channels of each multichannel signal into clusters, wherein each cluster is allocated a reference channel; a reference encoding module designed to quantize and compress wavelet coefficients of the reference channels which result from the performed discrete wavelet transform of the reference channels; a differential encoding module configured to enco

Abstract: A method for determining the joint positions of a kinematic chain uses only an imaging sensor and a computing unit. Characteristic features on the links and joints of the kinematic chain are identified and the joint positions are calculated from these visual measurements. The robot can be controlled without the use of joint encoders. A sensor system for monitoring the status of a kinematic chain includes a computing unit and an imaging sensor. The imaging sensor may be mounted to the kinematic chain or in the surroundings of the kinematic chain and monitors the kinematic chain and/or the surroundings of the kinematic chain. The computing unit determines a pose and/or movement parameters of at least one element of the kinematic chain by analyzing an output signal of the imaging sensor, in particular by analyzing characteristic features and determines a rotational joint position by analyzing the characteristic features.

Abstract: There is provided a visual localization method comprising: (a) transmitting data representative of one or more detected visual features from a mobile device to a server; (b) estimating the location of the mobile device at the server based on the visual features received from the mobile device; (c) transmitting reference data associated with the estimated location from the server to the mobile device; and (d) the mobile device determining its location based on the reference data received from the server.

Abstract: The present disclosure relates to image modification such as an image enhancement. The image enhancement may be applied for any image modification and it may be applied during or after image encoding and/or decoding, e.g. as a loop filter or a post filter. In particular, the image modification includes a multi-channel processing in which a primary channel is processed separately and secondary channels are processed based on the processed primary channel. The processing is based on a neural network. In order to enhance the image modification performance, prior to applying the modification, the image channels are analyzed and a primary channel and the secondary channels are determined, which may vary for multiples of images, images or image areas.

Abstract: A method and an assistance device assist automated driving operation of a motor vehicle. Surroundings raw data recorded by way of a surroundings sensor system of the motor vehicle are processed by the assistance device in order to generate semantic surroundings data. This is accomplished by carrying out semantic object recognition. Further, a comparison of predefined semantically annotated map data against the semantic surroundings data is performed. This involves static objects indicated in the map data being identified in the semantic surroundings data as far as possible. Discrepancies detected during the process are used to recognize perception errors of the assistance device. A recognized perception error prompts a predefined safety measure to be carried out.

Abstract: In an embodiment of the invention there is provided a method of visual localization, comprising: generating a plurality of virtual views, wherein each of the virtual views is associated with a location; obtaining a query image; determining the location where the query image was obtained on the basis of a comparison of the query image with said virtual views.

Abstract: An encoding apparatus for encoding a vibrotactile signal includes a first transforming unit configured to perform a discrete wavelet transform of the signal, a second transforming unit configured to generate a frequency domain representation of the signal, a psychohaptic model unit configured to generate at least one quantization control signal based on the generated frequency domain representation of the sampled signal and on a predetermined perceptual model based on human haptic perception, a quantization unit configured to quantize wavelet coefficients resulting from the performed discrete wavelet transform and adapted by the quantization control signal, a compression unit configured to compress the quantized wavelet coefficients, and a bitstream generating unit configured to generate a bitstream corresponding to the encoded signal based on the compressed quantized wavelet coefficients.

Abstract: In an embodiment of the invention there is provided a method of visual localization, comprising: generating a plurality of virtual views, wherein each of the virtual views is associated with a location; obtaining a query image; determining the location where the query image was obtained on the basis of a comparison of the query image with said virtual views.

Abstract: There is provided a visual localization method comprising: (a) transmitting data representative of one or more detected visual features from a mobile device to a server; (b) estimating the location of the mobile device at the server based on the visual features received from the mobile device; (c) transmitting reference data associated with the estimated location from the server to the mobile device; and (d) the mobile device determining its location based on the reference data received from the server.

Abstract: There is provided a visual localization method comprising: (a) transmitting data representative of one or more detected visual features from a mobile device to a server; (b) estimating the location of the mobile device at the server based on the visual features received from the mobile device; (c) transmitting reference data associated with the estimated location from the server to the mobile device; and (d) the mobile device determining its location based on the reference data received from the server.

Abstract: A method for determining the joint positions of a kinematic chain uses only an imaging sensor and a computing unit. Characteristic features on the links and joints of the kinematic chain are identified and the joint positions are calculated from these visual measurements. The robot can be controlled without the use of joint encoders. A sensor system for monitoring the status of a kinematic chain includes a computing unit and an imaging sensor. The imaging sensor may be mounted to the kinematic chain or in the surroundings of the kinematic chain and monitors the kinematic chain and/or the surroundings of the kinematic chain. The computing unit determines a pose and/or movement parameters of at least one element of the kinematic chain by analyzing an output signal of the imaging sensor, in particular by analyzing characteristic features and determines a rotational joint position by analyzing the characteristic features.

Abstract: An encoding apparatus for encoding a vibrotactile signal includes a first transforming unit configured to perform a discrete wavelet transform of the signal, a second transforming unit configured to generate a frequency domain representation of the signal, a psychohaptic model unit configured to generate at least one quantization control signal based on the generated frequency domain representation of the sampled signal and on a predetermined perceptual model based on human haptic perception, a quantization unit configured to quantize wavelet coefficients resulting from the performed discrete wavelet transform and adapted by the quantization control signal, a compression unit configured to compress the quantized wavelet coefficients, and a bitstream generating unit configured to generate a bitstream corresponding to the encoded signal based on the compressed quantized wavelet coefficients.

Abstract: There is provided a visual localization method comprising: (a) transmitting data representative of one or more detected visual features from a mobile device to a server; (b) estimating the location of the mobile device at the server based on the visual features received from the mobile device; (c) transmitting reference data associated with the estimated location from the server to the mobile device; and (d) the mobile device determining its location based on the reference data received from the server.

Abstract: There is provided a visual localization method comprising: (a) transmitting data representative of one or more detected visual features from a mobile device to a server; (b) estimating the location of the mobile device at the server based on the visual features received from the mobile device; (c) transmitting reference data associated with the estimated location from the server to the mobile device; and (d) the mobile device determining its location based on the reference data received from the server.

Abstract: The present disclosure presents a visuo-haptic sensor, which is based on a passive, deformable element whose deformation is observed by a camera. In particular, the improved simplified sensor may determine the force and/or torque applied to a point of the sensor in multiple spatial dimensions.