Abstract: This application discloses a computing system to implement event-driven region of interest management in an assisted or automated driving system of a vehicle. The computing system can identify a portion of an environmental model for a vehicle that corresponds to a region of interest for a driving functionality system. The computing system can detect at least one event associated with the region of interest in the environmental model, and provide data corresponding to the detected event to the driving functionality system. The driving functionality system can utilize the data corresponding to the detected event to control operation of the vehicle.

Abstract: This application discloses a computing system to implement low-level sensor fusion in an assisted or automated driving system of a vehicle. The low-level sensor fusion can include receiving raw measurement data from sensors in the vehicle and temporally aligning the raw measurement data based on a time of capture. The low-level sensor fusion can include spatially aligning measurement coordinate fields of the sensors into an environmental coordinate field based, at least in part, on where the sensors are mounted in the vehicle, and then populating the environmental coordinate field with raw measurement data captured by the sensors based on the spatial alignment of the measurement coordinate fields to the environmental coordinate field. The low-level sensor fusion can detect at least one detection event or object based, at least in part, on the raw measurement data from multiple sensors as populated in the environmental coordinate field.

Abstract: This application discloses a video inspection system for a rework station, which includes multiple image capture devices to capture multiple images or videos of a printed circuit board assembly, a presentation tool to merge the captured images or video into a image or video, and a display device to present the image video. The presentation tool also can augment the captured video of the printed circuit board assembly with information from a layout design of the printed circuit board assembly. The presentation tool can receive a selection of a portion of the layout design or a selection of at least one component in the printed circuit board assembly, and annotate the captured video of the printed circuit board assembly with design data from the layout design that corresponds to the selected portion of the layout design or the selected component in the printed circuit board assembly.

Abstract: This application discloses a computing system to implement event-driven region of interest management in an assisted or automated driving system of a vehicle. The computing system can identify a portion of an environmental model for a vehicle that corresponds to a region of interest for a driving functionality system. The computing system can detect at least one event associated with the region of interest in the environmental model, and provide data corresponding to the detected event to the driving functionality system. The driving functionality system can utilize the data corresponding to the detected event to control operation of the vehicle.

Abstract: This application discloses a computing system to implement object tracking in an assisted or automated driving system of a vehicle. The computing system can assign a pre-classification to a detection event in an environmental model, update the environmental model with new sensor measurements and corresponding detection events over time, and track the detection event in the updated environmental model. The computing system can track the detection event by predicting a future state of the detection event with a state change model selected based on the assigned pre-classification, comparing the predicted future state to an actual future state of the detection event in an update to the environmental model, and determining the detection event corresponds to an object proximate to the vehicle based on the comparison. A control system for the vehicle can control operation of the vehicle based, at least in part, on the tracked detection event.

Abstract: This application discloses a computing system to implement sensor event detection and fusion system in an assisted or automated driving system of a vehicle. The computing system can monitor an environmental model to identify spatial locations in the environmental model populated with temporally-aligned measurement data. The computing system can analyze, on a per-sensor basis, the temporally-aligned measurement data at the spatial locations in the environmental model to detect one or more sensor measurement events. The computing system can utilize the sensor measurement events to identify at least one detection event indicative of an object proximate to the vehicle. The computing system can combine the detection event with at least one of another detection event, a sensor measurement event, or other measurement data to generate a fused detection event. A control system for the vehicle can control operation of the vehicle based, at least in part, on the detection event.

Abstract: This application discloses a computing system to implement low-level sensor fusion in an assisted or automated driving system of a vehicle. The low-level sensor fusion can include receiving raw measurement data from sensors in the vehicle and temporally aligning the raw measurement data based on a time of capture. The low-level sensor fusion can include spatially aligning measurement coordinate fields of the sensors into an environmental coordinate field based, at least in part, on where the sensors are mounted in the vehicle, and then populating the environmental coordinate field with raw measurement data captured by the sensors based on the spatial alignment of the measurement coordinate fields to the environmental coordinate field. The low-level sensor fusion can detect at least one detection event or object based, at least in part, on the raw measurement data from multiple sensors as populated in the environmental coordinate field.

Abstract: This application discloses a computing system to implement map building in an assisted or automated driving system. The computing system can track movement of a vehicle based on sensor measurement data populated in an environmental model and vehicle movement measurements. The computing system can correlate the tracked movement of the vehicle to map data based on a previously detected location of the vehicle relative to the map data. The computing system can modify the map data to include the sensor measurement data utilized to track the movement of the vehicle based on the correlation of the tracked movement of the vehicle to map data. The computing system can modify the map data by building a map of the sensor measurement data and the tracked movement of the vehicle, and populating the map data with the built map.

Abstract: This application discloses a computing system to implement multi-level sensor fusion in an assisted or automated driving system of a vehicle. The computing system can populate an environment model with raw measurement data captured by sensors mounted in a vehicle and with data corresponding to a possible object in an coordinate field associated with the environmental model. The computing system can combine at least a portion of the raw measurement data with the data corresponding to the possible object, and detect an object proximate to the vehicle based, at least in part, on the combination of the raw measurement data and the data corresponding to the possible object. A control system for the vehicle can control operation of the vehicle based, at least in part, on the tracked detection event.

Abstract: This application discloses a computing system to implement vehicle localization in an assisted or automated driving system. The computing system can receive an environmental model populated with measurement data captured by sensors mounted in a vehicle. The computing system can detect a location of the vehicle relative to the map data based on a correlation between the measurement data and the map data. The computing system can detect landmarks in the map data and switch to sparsely-populated map data from higher-definition map data for subsequent location detections. When the computing system does not detect a vehicle location, the computing system can track movement of the vehicle based on subsequent measurement data in the environmental model. After reacquiring a vehicle location, the computing can realign the tracked movement of the vehicle and measured data to the map data or modify the map data to include the tracked data.

Abstract: This application discloses a video inspection system for a rework station, which includes multiple image capture devices to capture multiple images or videos of a printed circuit board assembly, a presentation tool to merge the captured images or video into a image or video, and a display device to present the image video. The presentation tool also can augment the captured video of the printed circuit board assembly with information from a layout design of the printed circuit board assembly. The presentation tool can receive a selection of a portion of the layout design or a selection of at least one component in the printed circuit board assembly, and annotate the captured video of the printed circuit board assembly with design data from the layout design that corresponds to the selected portion of the layout design or the selected component in the printed circuit board assembly.

Abstract: This application discloses a controller area network node including a controller and a transceiver. The transceiver includes security circuitry to perform various security checks on messages the controller area network node intends to have transmitted over a shared bus in a controller area network. The security circuitry can determine whether the messages conform to the rules associated with a design and a traffic scheduling of the controller area network. Some of those rules include that the controller area network node transmit messages with identifiers that were assigned to the controller area network node, or transmit messages with a specified timing. When the security circuitry identifies one of the messages fails to conform to the rules for the controller area network, the security circuitry can initiate a security action, such as refusing or delaying transmission of the messages or reporting the rules violation to the controller.

Abstract: A navigation system is provided with an application programming interface to enable efficient integration of a navigation solution into a navigation platform. The system includes a client-server architecture and the API is implemented with a standardized set of request and response functions defined in the client and server, respectively. The API includes a rapid prototyping interface component for enabling development of a navigation solution independent of a particular navigation platform. An information discovery and exchange interface component enables the navigation platform (client) to discover and retrieve the information available from the navigation solution (server) navigation solution.

Abstract: A navigation system is provided with an application programming interface to enable efficient integration of a navigation solution into a navigation platform. The system includes a client-server architecture and the API is implemented with a standardized set of request and response functions defined in the client and server, respectively. The API includes a rapid prototyping interface component for enabling development of a navigation solution independent of a particular navigation platform. An information discovery and exchange interface component enables the navigation platform (client) to discover and retrieve the information available from the navigation solution (server) navigation solution.