Intel Corporation

Apple Inc.

Freescale Semiconductor,inc.

Metaio Gmbh

Norbert Stoeffler

Kay-ulrich Scholl

Lorenz Kern

Peter Meier

Fabian Oboril

Ralf Graefe

Michael Paulitsch

Stephan Matthias Herrmann

Rafael Rosales

Yang Peng

Martin Raubuch

Michael Deur

A device including a processor configured to: receive sensor measurements; determine a viewer position based on the received sensor measurements; generate a control signal based on the viewer position; and determine a view based on the viewer position.

Strapless autonomous extended reality viewer

Disclosed herein are systems, devices, and methods for efficiently checking the integrity of a robot system. The integrity-checking system may generate a predefined motion instruction for a robot, where the predefined motion instruction instructs the robot to perform a random movement at a test time. The random movement may be associated with an expected observation at the test time. The integrity-checking system may also determine a systematic failure based on a difference between the expected observation and a current observation of the robot at the test time. The current observation may be determined from received sensor data, and if the integrity-checking system detects a failure, it may stop the robot's motion or other mitigating instructions.

Integrity and safety checking for robots

A pedestrian route can be segmented into at least one pedestrian walking segment using location information of transportation resources. An estimated transit time for the pedestrian route can be determined as a function of an estimated transit time of the at least one pedestrian walking segment, an estimated wait time for the transportation resource to arrive at the user determined using received status real-time location and movement information of the transportation resource and the determined estimated transit time for the at least one pedestrian walking segment, and an estimated transit time for the transportation resource to transport the user.

Pedestrian traffic management

An apparatus for detecting a feature in an image includes an image input section for receiving at least part of the image in the form of image data having a plurality of pixels, the plurality of pixels comprising a plurality of non-border pixels, a feature detection module adapted to attribute a feature probability value to each of the pixels of the image data, and an extremum determination module for determining at least one local extremum among the feature probability values, wherein the extremum determination module is adapted to output, for each of the plurality of pixels, a final indication if the feature probability value of the pixel in question is a local extremum. The extremum determination module is adapted to use, for each of the plurality of non-border pixels, comparison results of at least two comparison operations, with each comparison operation including a comparison of the feature probability value of the non-border pixel in question with the feature probability values of a respective subset of neighboring pixels, with the respective subsets of neighboring pixels being different subsets.

Apparatus and method for detecting a feature in an image

The invention is related to a method of matching image features with reference features, comprising the steps of providing a current image captured by a capturing device, providing reference features (r), wherein each of the reference features comprises at least one reference feature descriptor (d(r)), determining current features (c) in the current image and associating with each of the current features at least one respective current feature descriptor (d(c)), and matching the current features with at least some of the reference features by determining a respective similarity measure (D(c, r)) between each respective current feature descriptor (d(c)) and each respective reference feature descriptor (d(r)). According to the invention, the determination of the similarity measure is performed on an integrated circuit by hardwired logic or configurable logic which processes logical functions for determining the similarity measure. The invention is also concerned with an integrated circuit for matching of image features with reference features.

Method of matching image features with reference features and integrated circuit therefor

A pixel data processing apparatus comprises a data path unit comprising a hardware module dedicated to performing, when in use, predetermined functionality in relation to image data. The apparatus also comprises a data store for storing image data and a programmable engine. The programmable engine is arranged to route, when in use, data associated with the image data through the data path unit in a predetermined manner.

Pixel data processing apparatus and method of processing pixel data

A system for efficient image feature extraction comprises a buffer for storing a slice of at least n lines of gradient direction pixel values of a directional gradient image. The buffer has an input for receiving the first plurality n of lines and an output for providing a second plurality m of columns of gradient direction pixel values of the slice to an input of a score network, which comprises comparators for comparing the gradient direction pixel values of the second plurality of columns with corresponding reference values of a reference directional gradient pattern of a shape and adders for providing partial scores depending on output values of the comparators to score network outputs which are coupled to corresponding inputs of an accumulation network having an output for providing a final score depending on the partial scores.

Growing community of inventors

Graefelfing, Germany

Norbert Stoeffler