Aspects of the disclosure relate to apparatus and methods for unattended occupant protection system (UOPS) safety systems for passenger vehicles. The UOPS safety system may include a UOPS module. The module may be integrated with a vehicle data bus of the passenger vehicle. The module may be in communication with a plurality of UOPS sensors. The module may launch an equalization mode in response to determining, via the UOPS sensors, the presence of an unattended occupant in the passenger vehicle with a high or rising ambient temperature. The equalization mode may stabilize the ambient temperature of the passenger vehicle.

A system can determine a temperature profile based on a prior production temperature profile and a reference start point pressure for a well. The system can virtually divide the well into a plurality of sections including uphill sections and downhill sections. The system can determine a gas-oil interface depth for each section of the plurality of sections from a water-oil ratio and a gas-oil ratio based on the temperature profile and the reference start point pressure. The system can determine an oil-water interface depth for each section of the plurality of sections from the gas-oil ratio and the water-oil ratio based on the temperature profile and the reference start point pressure.

A system for evaluating a workspace surface having one or more objects placed thereon is disclosed. The system may include sensors configured to capture data corresponding to the workspace surface and a controller communicatively coupled to the sensors. The controller may generate an illuminance map of the workspace surface based on the captured data. The controller may generate a clutter entropy level based on the illuminance map and an entropy assessor. The controller may determine whether the clutter entropy level exceeds a clutter threshold. The controller may provide a clutter indication to a user device if the clutter entropy level exceeds the clutter threshold. The controller may identify the objects placed on the workspace surface. The controller may generate a decluttered layout based on the one or more objects and a layout generator.

A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.

An example system for operation in a borehole in a hydrocarbon-bearing rock formation includes a logging tool for detecting one or more conditions in the borehole. The logging tool includes a tool body and a 4D printed sensing element. The 4D printed sensing element includes a 3D printed shape-memory material configured to alter in at least one spatial dimension in response to one or more stimuli, thereby generating a data signal. The example system includes a data recording device in communication with the logging tool to receive and record one or more data signals transmitted from the logging tool.

A system and a method for determining an object has been on a vehicle seat of a vehicle are provided. The processing circuitry may determine if passengers of the vehicle have left the vehicle. The processing circuitry may determine if a temperature of a vehicle cabin of the vehicle meets a threshold of temperature. The temperature of the vehicle cabin to a first temperature may be adjusted. A temperature of resistive filaments of the vehicle seat of the vehicle to a second temperature may be adjusted. A thermal image of the vehicle seat with a reference thermal image of the vehicle seat may be compared. The processing circuitry may determine if the object has been left on the vehicle seat.

A human identifying device includes a temperature sensing module, a temperature pattern recognizing module and a human body identifying module. The temperature sensing module senses temperature distribution within the target area. The temperature pattern recognizing module determines at least one matching region out of the target area based on a human-resembling temperature feature within the temperature distribution. The temperature pattern recognizing module identifies at least one matching temperature sensor that corresponds to the at least one matching region. The human body identifying module determines if distribution of the at least one matching temperature sensor resembles at least one part of a human body contour.

A human detection system includes: an extractor that extracts a heat source region equivalent to a human body; and a human detector that detects a heat source region of a human body, and the human detector calculates a first heat source region by deleting an overlapping region of the latest human body-equivalent heat source region currently extracted by the extractor and the preceding human body-equivalent heat source region previously extracted by the extractor from the latest human body-equivalent heat source region, calculates a second heat source region by adding the first heat source region calculated and a human body heat source region previously detected by the human detector, calculates a third heat source region being an overlapping region of the latest human body-equivalent heat source region and the second heat source region calculated, and detects the third heat source region calculated as the heat source region of a human body.

Computer-implemented methods and systems for identifying topographic features that optimises and subsequently implements a machine learning model to automatically classify and extract topographic features from a set of target imagery are described herein. In particular, the optimised machine learning model creates heat maps from the target imagery corresponding to each class of feature, wherein the intensity of each pixel indicates whether a certain type of feature is present. The resulting heat maps are then processed to transform each pixel, specifically those identifying a topographic feature, into a geospatial vector.

The disclosure includes embodiments for a sensor system for multiple perspective sensor data sets. In some embodiments, a method executed by an ego vehicle includes receiving, from a set of remote vehicles, a set of sensor data describing a set of preliminary heatmaps for a roadway environment. The method includes reconciling discrepancies in the set of heatmaps and a preliminary heatmap of the ego vehicle to form a combined heatmap that describes the objects in the roadway environment as collectively observed by the onboard sensors of the set of remote vehicles and the ego vehicle. The method includes providing the combined heatmap to one or more of the remote vehicles included in the set of remote vehicles. The method includes modifying an operation of the ego vehicle based on the combined heatmap. For example, an operation of an autonomous driving system of the ego vehicle is modified.