An apparatus, including: an interface configured to receive raw images of one or more objects across a timeseries of frames corresponding to a movement event from a perspective of a vehicle of interest (Vol); and processing circuitry that is configured to: track a change in intensity or direction information represented in motion vectors (MVs) generated based on the raw images; generate, based on the change in the intensity or direction information, a weight of an influence vector representing a Vol influence on the movement event; and transmit the weight of the influence vector and an identity of the movement event to an assessment system that is configured to utilize the weight of the influence vector in an assessment of the Vol.

An apparatus, including: an interface configured to receive raw images of one or more objects across a timeseries of frames corresponding to a movement event from a perspective of a vehicle of interest (Vol); and processing circuitry that is configured to: track a change in intensity or direction information represented in motion vectors (MVs) generated based on the raw images; generate, based on the change in the intensity or direction information, a weight of an influence vector representing a Vol influence on the movement event; and transmit the weight of the influence vector and an identity of the movement event to an assessment system that is configured to utilize the weight of the influence vector in an assessment of the Vol.

A method for monitoring an electric steering device of a vehicle while the vehicle is driving, the method including generating a nominal movement direction signal that characterizes a current nominal movement direction of the vehicle and processing the nominal direction movement signal in at least one electronic control device; feeding surroundings data into the at least one electronic control device wherein the surroundings data is generated by a sensor device of the vehicle that scans surroundings of the vehicle touch free, wherein the surroundings data characterizes surroundings of the vehicle and is configured to be processed by a first driver assistance system, wherein the surroundings data facilitates detecting a current actual movement direction of the vehicle; generating an actual movement direction signal by the at least one electronic control device based on the surroundings data wherein the actual movement direction signal characterizes a current actual movement direction of the vehicle.

An approach is provided for determining a vehicle parking event and respective characteristics using sensor data. The approach, for example, involves receiving sensor data from at least one sensor associated with a mobile device in a vehicle. The approach also involves processing the sensor data to determine a sequence of semantic events. The semantic events respectively indicate a maneuver performed by the vehicle. The approach further involves processing the sensor data to determine a distance estimation over which at least one of the semantic events is performed. The approach further involves detecting a parking event of the vehicle, a characterization of the parking event, or a combination thereof based on the sequence of semantic events and the distance estimation. The approach further involves providing the parking event, the characterization of the parking event, or a combination thereof as an output.

An approach is provided for determining a vehicle parking event and respective characteristics using sensor data. The approach, for example, involves receiving sensor data from at least one sensor associated with a mobile device in a vehicle. The approach also involves processing the sensor data to determine a sequence of semantic events. The semantic events respectively indicate a maneuver performed by the vehicle. The approach further involves processing the sensor data to determine a distance estimation over which at least one of the semantic events is performed. The approach further involves detecting a parking event of the vehicle, a characterization of the parking event, or a combination thereof based on the sequence of semantic events and the distance estimation. The approach further involves providing the parking event, the characterization of the parking event, or a combination thereof as an output.

Example methods and systems for controlling speeds of a vehicle may generally determine a target vehicle acceleration using an autonomy control module of the vehicle. The target vehicle acceleration may be determined based upon at least one of a target vehicle following distance, a target vehicle following speed, or a target vehicle speed. The determined vehicle acceleration may be mapped to a level of vehicle torque using a vehicle dynamics module of the vehicle. Additionally, the level of vehicle torque may be applied to one or more wheels of the vehicle.

Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

Among other things, information generated by sensors of a mobile phone and indicative of motion of the mobile phone and state information indicative of a state of operation of the mobile phone are monitored. Based on the monitoring, distraction by a user of the mobile phone who is a driver of a vehicle is determined.

A wheel speed sensing system for a work vehicle having an engine, a transmission, a differential, and an axle, defining a central longitudinal axis and coupled to the differential. The wheel speed sensing system includes a sensor target disposed at the axle and a sensor configured to transmit a sensor signal, wherein the sensor is located adjacently to the sensor target. The sensor target includes a plurality of step splines each having a top surface and first and second planar sidewalls. The sidewalls of the step splines are aligned along a radius extending from the central longitudinal axis, such that the sides are undercut with respect to the top surface. An intersection of each of the sidewalls with the top surface defines an edge forming a relatively sharp transition configured to be sensed by the sensor. A chamfer at the intersection of the sidewalls and the top surface is also contemplated.

A wheel speed sensing system for a work vehicle having an engine, a transmission, a differential, and an axle, defining a central longitudinal axis and coupled to the differential. The wheel speed sensing system includes a sensor target disposed at the axle and a sensor configured to transmit a sensor signal, wherein the sensor is located adjacently to the sensor target. The sensor target includes a plurality of step splines each having a top surface and first and second planar sidewalls. The sidewalls of the step splines are aligned along a radius extending from the central longitudinal axis, such that the sides are undercut with respect to the top surface. An intersection of each of the sidewalls with the top surface defines an edge forming a relatively sharp transition configured to be sensed by the sensor. A chamfer at the intersection of the sidewalls and the top surface is also contemplated.