A vehicle rear cargo reminder system having a front door sensor, a rear door sensor, an alerting device and a controller. The front door sensor being configured to detect opening movement and closing movement of a front door. The rear door sensor configured to detect opening movement and closing movement of a rear door. The alerting device is configured to provide an alarm signal. The controller detects a sequence of events via the front door sensor and the rear door sensor. The controller determines whether or not an object might be located beside or on the rear seat of the passenger compartment, and operates the alerting device to provide the alarm signal to the vehicle operator in the absence of detection of conditions of an ignition switch of the vehicle.

A vehicle control device including a camera configured to photograph an image around a vehicle; a display unit configured to display the image received from the camera; at least one sound sensor arranged on the vehicle and configured to sense a sound generated inside or outside the vehicle; at least one sound output unit arranged on the vehicle and configured to output sound inside or outside the vehicle; and a controller configured to sense a situation of the vehicle based on the sensed sound generated inside or outside the vehicle, and control at least one of the sound sensor, sound output unit and the display unit to output information based on the sensed situation of the vehicle.

A camera is configured to be mounted facing a front of a vehicle. A computer is programmed to receive first and second images from the camera, determine a height of an obstacle located to the front of the vehicle using at least the first and second images, and, based at least in part on the height of the obstacle, send an instruction via a communications bus to a component controller to control a speed of the vehicle.

A method for automatically monitoring soil surface roughness as a ground-engaging operation is being performed within a field may include receiving pre-operation surface roughness data associated with a given portion of the field and receiving post-operation surface roughness data associated with the given portion of the field. In addition, the method may include analyzing the pre-operation and post-operation surface roughness data to determine a surface roughness differential associated with the performance of the ground-engaging operation and actively adjusting the operation of at least one of an associated work vehicle and/or implement when the surface roughness differential differs from a target set for the surface roughness differential.

A system that identifies road conditions associated with a road surface is provided. The system includes a first sensor recording a first motion amount related to a head of a rider and at least a second sensor recording at least a second motion amount of a portion of a vehicle. The system also includes a comparison manager determining a severity level based on a comparison between the first motion amount and the second motion amount. Also included is a notification manager providing recommendations to the rider based on the severity level. Additionally, an implementation manager may dynamically implement one or more actions based on the severity level.

For training a perception algorithm to detect an emergency vehicle, respective audio datasets are received from two microphones and respective spectrograms are generated. At least one interaural difference map is generated based on the spectrograms, audio source localization data is generated, which specifies a number of audio sources in respective grid cells of a spatial grid, by applying a CRNN to first input data containing the spectrograms and the least one interaural difference map. An image is received from a camera and output data comprising a bounding box for the emergency vehicle is predicted by applying at least one further ANN to second input data containing the image and the spectrograms. Network parameters are adapted depending on the output data and the audio source localization data.

Aspects of the present invention relate to a control system for a host vehicle, vehicle comprising the control system and a method for estimating a lateral position of a host vehicle. The host vehicle comprises a first sensor arrangement disposed at a first orientation relative to the host vehicle and at least one additional sensor arrangement, each additional sensor arrangement being disposed at an orientation relative to the host vehicle that is different to the first orientation. First sensor information is received from the first sensor arrangement and additional sensor information is received from each additional sensor arrangement. A lateral position of the vehicle relative to a roadway is determined using the additional sensor information if all or part of the first sensor information is interrupted and an output is provided in dependence on the determined lateral position.

A prediction apparatus, comprising an acquisition unit configured to acquire peripheral information of an own vehicle, a determination unit configured to determine, based on the peripheral information, whether a behavior prediction target on a road visually recognizes a predetermined object, and a prediction unit configured to, if it is determined by the determination unit that the behavior prediction target visually recognizes the predetermined object, predict that the behavior prediction target moves across the road in a crossing direction.

A method for automatically monitoring soil surface roughness as a ground-engaging operation is being performed within a field may include receiving pre-operation surface roughness data associated with a given portion of the field and receiving post-operation surface roughness data associated with the given portion of the field. In addition, the method may include analyzing the pre-operation and post-operation surface roughness data to determine a surface roughness differential associated with the performance of the ground-engaging operation and actively adjusting the operation of at least one of an associated work vehicle and/or implement when the surface roughness differential differs from a target set for the surface roughness differential.

In a hybrid vehicle, when an abnormality occurs in a first current sensor and a second current sensor during operation of an engine, a controller is configured to execute one-phase on control to a first inverter, and perform gate shutoff to a second inverter. The controller is configured to, in switching a target phase in the one-phase on control, when an electric angle of a first motor is within a switching range where an assumption is made that a torque difference between torque of the first motor before switching of the target phase and torque of the first motor after switching of the target phase becomes equal to or less than a predetermined value, switch the target phase.