The present invention extends to methods, systems, and computer program products for detecting physical threats approaching a vehicle. External sensors on a vehicle capture the environment around the vehicle. Approaching targets detected by the external sensors can be fed into a neural network to recognize and/or classify approaching targets as potential threats. Tracking mechanisms (e.g., Kalman filters, Particle filters, etc.) can leverage temporal information to determine if a threat is approaching a vehicle. When an approaching threat is detected, a vehicle can activate one or more counter measures to deter the threat. When a vehicle includes autonomous driving capabilities, counter measures can include automatically attempting to drive away from an approaching threat.

An apparatus and method for monitoring the productivity of a portable machine are provided. The method includes receiving motion data for at least one component of the portable machine from a multi-axis accelerometer, receiving position data for the at least one component from a process parameter sensor communicatively coupled to the at least one component, and determining, based on the received motion data and the received position data that the at least one component is oriented in a predetermined position for productive operation. The method also includes determining an area of productive operation using at least one physical dimension of the at least one component and the received motion data when the at least one component is oriented in the predetermined position for productive operation and incrementing a total area counter based on the determination.

A utility vehicle includes a diesel engine, a two-four wheel drive switcher provided on a driving power transmission path from the diesel engine and configured to switch transmission of driving power to driving wheels between a two-wheel drive mode and a four-wheel drive mode, and a vehicle control unit configured to control the two-four wheel drive switcher. The utility vehicle further includes a rollover sensor configured to detect rollover of the utility vehicle, and a fuel cutoff valve configured to cut off fuel supply to the diesel engine. The vehicle control unit determines whether or not the utility vehicle is being rolled over in accordance with detection by the rollover sensor and controls the fuel cutoff valve to cut off the fuel supply when the vehicle control unit determines that the utility vehicle is being rolled over.

Systems and methods are disclosed for a police vehicle monitor. An example disclosed police vehicle includes first beacons positioned on a chassis of the police vehicle, second beacons position on a lightbar of the police vehicle, and a police assistance unit. The example police assistance unit is to track a distance of wearable nodes associated with a police officer. Additionally, the example police assistance unit is to, in response to the distance satisfying a first threshold, lock doors and roll up windows of the police vehicle.

Apparatuses, systems, and methods are provided for the utilization of vehicle control systems to cause a vehicle to take preventative action responsive to the detection of a near short term adverse driving scenario. A vehicle control system may receive information corresponding to vehicle operator data and ancillary data. Based on the received vehicle operator data and the received ancillary data, a multi-dimension risk score module may calculate risk scores associated with the received vehicle operator data and the received ancillary data. Subsequently, the vehicle control systems may cause the vehicle to perform at least one of a close call detection action and a close call detection alert to lessen the risk associated with the received vehicle operator data and the received ancillary data.

Apparatuses, systems, and methods are provided for the utilization of vehicle control systems to cause a vehicle to take preventative action responsive to the detection of a near short term adverse driving scenario. A vehicle control system may receive information corresponding to vehicle operator data and ancillary data. Based on the received vehicle operator data and the received ancillary data, a multi-dimension risk score module may calculate risk scores associated with the received vehicle operator data and the received ancillary data. Subsequently, the vehicle control systems may cause the vehicle to perform at least one of a close call detection action and a close call detection alert to lessen the risk associated with the received vehicle operator data and the received ancillary data.

A system and method for performing an operation at a vehicle is disclosed. The system includes a first acoustic transceiver that transmits and receives inaudible acoustic signals and a second acoustic transceiver that transmits and receives inaudible acoustic signals. The second acoustic transceiver is stationary with respect to the vehicle. A processor receive an inaudible acoustic signal transmitted between the first acoustic transceiver and the second acoustic transceiver, determines a location of the first acoustic transceiver with respect to the vehicle from the received signal, and performs an operation at the vehicle based on the location of the first acoustic transceiver with respect to the vehicle.

A system comprising a radar device and a mobile device. The radar device may be configured to operate when a vehicle is turned off, detect a presence of a person in the vehicle, determine an age range of the person detected and generate an alert signal in response to a presence signal and determining that the age range of the person detected corresponds to a child. The mobile device may be configured to communicate the presence signal to the radar device and determine a movement of the mobile device. The radar device may determine a distance of the mobile device from the vehicle in response to the presence signal. The radar device may suppress the alert signal when the distance of the mobile device is within a predetermined range of the vehicle and the mobile device is moving.

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

A self-venting device includes a first component having an interior, a second component coupled to the first component so as to close the interior, and seal structure engaged between the first and second components in a sealed state so as to seal the interior from external agents. The seal structure includes a plurality of seal members, each having a resilient seal tip extending therefrom. The seal tips are constructed and arranged such that 1) when pressure inside the interior is equal to pressure outside of the device, the seal tips are compressed between the first and second components in the sealed state, and 2) when pressure in the interior is greater than the pressure outside of the device causing the second component to move away from the first component, the seal tips move to an unsealed state, permitting air to exit from the interior.