Abstract: A method for operating an exhaust burner with a secondary air system downstream of a combustion engine of a motor vehicle. The method includes: activating an ignition device as a function of a release condition, the ignition device being heated up to a specifiable target temperature; metering fuel at a first time point into a combustion chamber of the exhaust burner at a first injection frequency using an injection valve, and the combustion chamber not being actively supplied with air; setting a first target air-mass flow using a secondary air system at a further, second time point, wherein the air-mass flow is increased strictly monotonically; controlling the air-fuel ratio to a first target air-fuel ratio as a function of a lambda sensor starting from the second time point, and metering fuel at a second injection frequency; setting a second target air-mass flow at a further, third time point.

Abstract: A system and method for detecting a pose of an object is described. An augmented reality display device accesses first sensor data from an image sensor and a depth sensor of the augmented reality display device. The first sensor data includes a first plurality of images of an object and corresponding depth data relative to the augmented reality display device and the object. The augmented reality display device detects first features corresponding to the object by applying a convolutional neural network to the first sensor data, forms a plurality of training clusters based on the first features, and stores the plurality of training clusters in a training database.

Abstract: A system and method for detecting a pose of an object is described. An augmented reality display device accesses first sensor data from an image sensor and a depth sensor of the augmented reality display device. The first sensor data includes a first plurality of images of an object and corresponding depth data relative to the augmented reality display device and the object. The augmented reality display device detects first features corresponding to the object by applying a convolutional neural network to the first sensor data, forms a plurality of training clusters based on the first features, and stores the plurality of training clusters in a training database.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to synchronize data bus access. An example system includes a first computing device to transmit a first synchronization pulse to second computing devices using a first bus, the first synchronization pulse to synchronize first timers of the second computing devices to trigger a data schedule including one or more data cycles, and transmit a second synchronization pulse to the second computing devices using the first bus, the second synchronization pulse to synchronize ones of the first timers and slot counters of the second computing devices to trigger the one or more data cycles. The example system further includes the second computing devices to transmit data to the first computing device using a second bus during the one or more data cycles, where each of the one or more data cycles is assigned to a corresponding one of the second computing devices.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to synchronize data bus access. An example system includes a first computing device to transmit a first synchronization pulse to second computing devices using a first bus, the first synchronization pulse to synchronize first timers of the second computing devices to trigger a data schedule including one or more data cycles, and transmit a second synchronization pulse to the second computing devices using the first bus, the second synchronization pulse to synchronize ones of the first timers and slot counters of the second computing devices to trigger the one or more data cycles. The example system further includes the second computing devices to transmit data to the first computing device using a second bus during the one or more data cycles, where each of the one or more data cycles is assigned to a corresponding one of the second computing devices.

Abstract: A system and method for offloading object detection are described. A server receives first sensor data from a first sensor of an augmented reality (AR) display device. The first sensor data indicates a pose of the AR display device relative to a first reference coordinate system. The server detects a physical object using second sensor data received from a second sensor of the AR display device. The server determines, based on the second sensor data, a pose of the physical object relative to the AR display device. The server then determines the pose of the physical object relative to the first reference coordinate system based on the pose of the physical object relative to the AR display device and the pose of the AR display device relative to the first reference coordinate system.

Abstract: A system and method for detecting a pose of an object is described. An augmented reality display device accesses first sensor data from an image sensor and a depth sensor of the augmented reality display device. The first sensor data includes a first plurality of images of an object and corresponding depth data relative to the augmented reality display device and the object. The augmented reality display device detects first features corresponding to the object by applying a convolutional neural network to the first sensor data, forms a plurality of training clusters based on the first features, and stores the plurality of training clusters in a training database.

Abstract: A wheel cap lock includes an engagement receiver fastened to a selected one of wheel lugs of a vehicle for securably engaging an engagement fastener received from an outside of the wheel cap through a hole formed therein in correspondence with a location of the engagement receiver when installed to the selected lug.

Abstract: A system and method for offloading object detection are described. A server receives first sensor data from a first sensor of an augmented reality (AR) display device. The first sensor data indicates a pose of the AR display device relative to a first reference coordinate system. The server detects a physical object using second sensor data received from a second sensor of the AR display device. The server determines, based on the second sensor data, a pose of the physical object relative to the AR display device. The server then determines the pose of the physical object relative to the first reference coordinate system based on the pose of the physical object relative to the AR display device and the pose of the AR display device relative to the first reference coordinate system.

Abstract: A wheel cap lock includes an engagement receiver fastened to a selected one of wheel lugs of a vehicle for securably engaging an engagement fastener received from an outside of the wheel cap through a hole formed therein in correspondence with a location of the engagement receiver when installed to the selected lug.