The present disclosure relates to an apparatus and method for processing a sensor signal, and a vehicle having the same. The apparatus according to an embodiment of the present disclosure is an apparatus applied to a vehicle, the apparatus comprising a plurality of sensors of a same type configured for detecting a same detection target object and generating a plurality of sensor signals with values; and a controller configured for determining usable sensor signals from among the plurality of sensor signals by using value differences among the sensor signals.

An approach to arrange sensors needed for automated driving, especially where semitrailer trucks are operating in an autonomous convoy with one automated or semi-automated truck following another. The sensors are fitted to a location adjacent to or within the exterior rearview mirrors, on each of the left- and right-hand side of the tractor. The sensors provide overlapping fields of view looking forward of the vehicle and to both the left and right hand sides at the same time.

A system and method of this disclosure control an on/off state of a power take-off by monitoring the power demand of a fluid power circuit that includes the power take-off and a piece of equipment connected to the power take-off. The power demand may be indicated by a pressure or temperature of a fluid power circuit, by a motion of the equipment or its hand-held controller, or by an engine torque of an engine driving the power take-off. When the equipment transitions between an off state and an on state, the controller automatically engages the power take-off. When the equipment is in the on-state for a predetermined amount of time and the power demand is at or below a predetermined threshold during the predetermined amount of timethereby indicating idle time or an inactive state of the equipmentthe controller automatically disengages the power take-off.

A method for determining surface characteristics is disclosed. The method may include transmitting a surface penetrating radar (SPR) signal towards a surface from a SPR system. The method may also include receiving a response signal at the SPR system. The response signal may include, at least in part, a reflection of the SPR signal from a surface region associated with the surface. The method may further include measuring at least one of an intensity and a phase of the response signal. The method my additionally include determining, based at least in part on the at least one of the intensity and the phase of the response signal, a surface characteristic of the surface.

Example embodiments relate to techniques for adjusting vehicle behavior based on ambient ground relative wind estimations. An onboard computing system may receive wind data from one or multiple wind sensors positioned onboard a vehicle. The wind data can indicate a direction and a speed of wind propagating in the vehicle's environment. The computing system can also receive navigation data that represents a direction and a speed of the vehicle and then estimate an ambient ground relative wind speed based on the navigation data and the wind data. The computing system can adjust the behavior of the vehicle based on the ambient ground relative wind speed. For instance, the computing system may compare the speed of the ambient ground relative wind to a predefined behavior threshold curve and adjust the behavior of the vehicle based on the comparison.

A method for assisting the operation of a host vehicle traveling on a roadway includes acquiring images around the host vehicle with at least one primary camera assembly having a first field of view. Visibility is detected within the first field of view. The at least one primary camera assembly is deactivated when the detected visibility is below a predetermined value. Images are acquired around the host vehicle with at least one secondary camera assembly having a second field of view until the detected visibility in the first field of view is at or above the predetermined value.

In one embodiment, a method of operating an autonomous driving truck includes receiving location data from a first inertial measurement unit, a first global positioning system, a second inertial measurement unit, and a second global positioning system at a planning module of the autonomous driving truck. The first inertial measurement unit and the first global positioning system are attached to a cabin of the autonomous driving truck and the second inertial measurement unit and the second global positioning system are attached to a body structure of the autonomous driving truck in which the body structure extends away from the cabin. The method further includes receiving location data from the second inertial measurement unit and the second global positioning system at a control module of the autonomous driving truck and controlling the autonomous driving truck based on the received location data at the planning and control modules.

A method for determining surface characteristics is disclosed. The method may include transmitting a surface penetrating radar (SPR) signal towards a surface from a SPR system. The method may also include receiving a response signal at the SPR system. The response signal may include, at least in part, a reflection of the SPR signal from a surface region associated with the surface. The method may further include measuring at least one of an intensity and a phase of the response signal. The method my additionally include determining, based at least in part on the at least one of the intensity and the phase of the response signal, a surface characteristic of the surface.

A process includes receiving data indicating position and velocity of a vehicle at time points during a time window; using the data to calculate a path of movement by the vehicle; and determining whether the path indicates a change in a direction of movement of the vehicle. When the calculated path indicates a change in the direction, the location of the vehicle at a future time relative to the time window is estimated using the received position and velocity data at end of the time window, and a classification based on a similarity of the calculated path to at least one vehicle path corresponding to a vehicle preparing to turn and to at least one vehicle path corresponding to a vehicle not preparing to turn, and based on the similarity, classifying the calculated path either as that of a vehicle preparing to turn or a vehicle not preparing to turn.

Method and apparatus are disclosed for mobile device tethering for a remote parking assist system of a vehicle. An example vehicle includes a plurality of proximity sensors and a body control module. In response to detecting a mobile device proximate one of the proximity sensors, the body control module sends a location associated with the corresponding proximity sensor to the mobile device. The body control module receives, from the mobile device, a relative position of the mobile device from the location, and when the mobile device is within a threshold distance of the vehicle, enables autonomous parking.