According to an embodiment of the present disclosure, a safety equipment controlling apparatus of a vehicle may include an acceleration sensor, a collision detection sensor, a brake controller, a steering controller, an airbag, a seat belt actuator, and a control circuit electrically connected to the acceleration sensor, the collision detection sensor, the brake controller, the steering controller, the airbag, and the seat belt actuator. The control circuit may be configured to obtain a longitudinal acceleration and a lateral acceleration, which are generated by a brake of the brake controller and a steering of the steering controller, using the acceleration sensor and to calculate a predicted behavior of a user of the vehicle, based on the longitudinal acceleration and the lateral acceleration.

A robotic cart platform with a navigation and movement system that integrates into a conventional utility cart to provide both manual and autonomous modes of operation. The platform includes a drive unit with drive wheels replacing the front wheels of the cart. The drive unit has motors, encoders, a processor and a microcontroller. The system has a work environment mapping sensor and a cabled array of proximity and weight sensors, lights, control panel, battery and on/off, GO and emergency stop buttons secured throughout the cart. The encoders obtain drive shaft rotation data that the microcontroller periodically sends to the processor. When in autonomous mode, the system provides navigation, movement and location tracking with or without wireless connection to a server. Stored destinations are set using its location tracking to autonomously navigate the cart. When in manual mode, battery power is off, and back-up power is supplied to the encoders and microcontroller, which continue to obtain shaft rotation data. When in autonomous mode, the shaft rotation data obtained during manual mode is used to determine the present cart location.

A vehicle control method for controlling a vehicle using a vehicle control apparatus includes: a sensor configured to detect a state outside a subject vehicle; and a control device. The vehicle control method includes: executing control of recovering a travel trajectory of the subject vehicle to a target trajectory, as ordinary control, by giving a steering amount in a lateral direction with respect to a travel lane of the subject vehicle; using detection data of the sensor to determine whether or not another vehicle is traveling in an adjacent lane to the travel lane of the subject vehicle; and when determining that the other vehicle is traveling in the adjacent lane ahead of the subject vehicle, increasing a response of the steering amount to a higher response than that in the ordinary control, before the subject vehicle passes the other vehicle.

A distributing device for distributing data streams for a control unit for a vehicle drivable in a highly automated manner. The distributing device includes at least one first processor unit and at least one further processor unit, which are designed to process sensor data streams. The distributing device also includes a distributing unit, which is designed to read in a first sensor data stream of at least one first sensor and at least one further sensor data stream of at least one further sensor and to distribute them optionally onto the at least one first processor unit or the at least one further processor unit.

There is provided a hybrid vehicle including an electronic control unit configured to turn on a second inverter in three phases when an accelerator operation amount is equal to or greater than a predetermined operation amount during predetermined traveling in which the hybrid vehicle is traveling with the engine operated in a state in which a first inverter and a second inverter are shut down and when a rotation speed of a first motor is equal to or less than a predetermined rotation speed. Accordingly, it is possible to rapidly increase a rotation speed of the first motor to be higher than a predetermined rotation speed.

A first off-network wireless device transmits first media traffic to a third off-network wireless device employing a first session. The first off-network wireless device receives a floor request message from a second off-network wireless device. The floor request message comprises an organization field identifier and an organization identifier. The first off-network wireless device determines a call priority based on the organization field identifier and the organization identifier. Transmission of the first media traffic to the third off-network wireless device is terminated based on the call priority. The first off-network wireless device starts transmission of second media traffic to the second off-network wireless device employing a second session.

The disclosure relates to methods, systems, and apparatuses for virtual sensor data generation and more particularly relates to generation of virtual sensor data for training and testing models or algorithms to detect objects or obstacles. A method for generating virtual sensor data includes simulating, using one or more processors, a three-dimensional (3D) environment comprising one or more virtual objects. The method includes generating, using one or more processors, virtual sensor data for a plurality of positions of one or more sensors within the 3D environment. The method includes determining, using one or more processors, virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth comprises a dimension or parameter of the one or more virtual objects. The method includes storing and associating the virtual sensor data and the virtual ground truth using one or more processors.

Systems and methods are provided to detect and issue warning signal when an occupant(s) inside a dangerous vehicle. An exemplary system and method may include operations and/or instructions comprising measuring temperature at multiple zones; calculating temperature gradients versus time and space; calculating distances among temperatures and among temperature gradients; analyzing temperatures, temperature gradients, distances and their histories to detecting an occupant(s) inside a vehicle; and giving out warning alarms when an occupant(s) inside the vehicle.

A method of diagnosing a non-coupling breather hose includes: sensing a revolutions per minute (RPM) after starting an engine; operating a differential pressure sensor; and determining that a breather hose is not coupled when an output voltage from the differential pressure sensor or a holding time of the output voltage is in a predetermined range.

A passive infra-red pedestrian and animal detection and avoidance system and method for augmenting the operation of a vehicle on a roadway, especially for identifying potential pedestrian/vehicular and/or animal/vehicular collision danger for the vehicle in operation and adjusting the position and operation of the vehicle accordingly, includes at least one passive infra-red sensor array mounted on the vehicle in operative communication with an image processor tied into the operational system of the vehicle. The system detects, using thermal imaging and processing, the presence of people or animals that may be in or laterally crossing into the travel lane of the vehicle. The image processor analyzes the detection of a human thermal signature and/or an animal thermal signature, and determines if the detected thermal signature is moving, in what direction and at what speed, to assess any potential threat to the pedestrian, biker or occupant of the vehicle, and further whether any responsive action needs to be triggered in the vehicle's operation to avoid a collision.