The present invention provides a vehicle control device capable of improving fuel consumption while reducing deterioration of emission by appropriately controlling a powertrain system of a vehicle. A vehicle control device includes: a prediction unit configured to predict speeds or accelerations of a vehicle based on a plurality of prediction models; a fuel consumption information calculation unit configured to calculate fuel consumption for each of a plurality of prediction results obtained by the prediction unit; a selection unit configured to select any one of the plurality of prediction results; and a powertrain control unit configured to control at least one of an engine, a generator, an inverter, a drive motor, and a transmission of the vehicle based on the prediction result selected by the selection unit.

In accordance with an exemplary embodiment, a method is provided that includes: receiving an input as to a destination of travel for a vehicle; identifying, via a processor, a plurality of routes for the vehicle to travel to the destination; determining, via the processor, for each of the plurality of routes, a measure of difficulty of vehicle maneuvers for the vehicle to reach the destination via the route; and performing a vehicle action, via instructions provided by the processor, based on the respective measures of difficulty for the plurality of routes.

A vehicle and associated method for calculating tire saturation is provided. The method may include the stability control computer calculating slip ratio and longitudinal force for the tire, calculating tire longitudinal stiffness by dividing longitudinal force by slip ratio, calculating tire saturation from tire longitudinal stiffness, and the stability control computer altering dynamic control of the vehicle based on calculated tire saturation. The stability control computer may calculate tire saturation from a tire saturation membership function which includes a first tire longitudinal stiffness value representing an unsaturated tire, a second tire longitudinal stiffness value representing a saturated tire, and a function line connecting the first tire longitudinal stiffness value to the second tire longitudinal stiffness value.

An electronic device provided in an autonomous vehicle, the electronic device comprising a camera, a memory storing at least one instruction, and at least one processor operatively coupled with the camera, wherein the at least one processor is configured to, when the at least one instruction is executed obtain a front image in which the autonomous vehicle is driving through the camera, identify a target vehicle in the front image based on the vehicle detection model stored in the memory, generate a bounding box corresponding to the target vehicle in response to an identification of the target vehicle, generate a sliding window having a height equal to the height of the bounding box and having a width half of the width of the bounding box, divide the bounding box into a first area positioned left based on a middle position of the width of the sliding window and a second area positioned right based on the middle position, generate an extended bounding box by extending the first area in a left direction and extending the second area in a right direction, wherein size of the extended bounding box is twice as wide as size of the bounding box, obtain a sum of a pixel difference values between the first area and the second area for each shift by sequentially shifting the sliding window by a predefined pixel interval with respect to all of width of the extended bounding box, and identify a point that corresponds to a minimum value among sum values respectively indicating the sums that are obtained according to the shifting.

A device may receive accelerometer data and video data for a vehicle and may identify bounding boxes and object classes for objects near the vehicle. The device may identify tracks for the objects and may filter out tracks that are not associated with vehicles or vulnerable road users to generate one or more tracks or an indication of no tracks. The device may generate a collision cone identifying a drivable area of the vehicle to identify objects more likely to be involved in a collision and may filter out tracks from the one or more tracks, based on the bounding boxes, and to generate a subset of tracks or another indication of no tracks. The device may determine scores for the subset of tracks and may identify a track of the subset of tracks with a highest score. The device may perform actions based on the identified track.

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 communication technology for communication between at least one application and an external device uses subscriber identification modules that correspond, respectively, to wireless communication services. In the technology, first information for determination of a received strength of a reference signal is acquired for each of the wireless communication services. In the technology, second information for determination of a delay time allowed by the at least one application is acquired. In the technology, a wireless communication service is selected from among the wireless communication services for the communication based on the first information and the second information.

A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a result, the speed and accuracy of deploying emergency services to the vehicular crash location is increased. The system may also utilize vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.

A stability control system identifies an actionable condition, such as instability, in an off-road mobile machine, based upon an in-rubber tire sensor. A remedial action is identified, and a control signal is generated to control the mobile machine to take the remedial action.

Disclosed herein are systems and methods for energy-based vehicle analysis. A vehicle includes an energy storage unit that is configured to store energy. An energy attribute sensor measures one or more attributes of the energy storage unit. A vehicle attribute sensor measures one or more attributes of the vehicle. The energy storage unit is configured to power a propulsion mechanism of the vehicle. A control system with a processor and a memory estimates a capacity of the energy storage unit based on the one or more attributes of the energy storage unit. The control system estimates a range that the vehicle is capable of reaching using the propulsion mechanism based on the one or more attributes of the vehicle and the estimated capacity of the energy storage unit. The control system causes an output interface to output an indication of the estimated range.