Abstract:
A method includes receiving object data, by a controller of a host vehicle, from a plurality of sources, the plurality of sources including remote objects and a sensor system of the host vehicle; identifying, by the controller of the host vehicle, a target object using the object data from the plurality of sources, the object data including a target-object data, and the target-object data is the object data that specifically pertains to the target object determining, by the controller, that the target-object data is available from more than one of the plurality of sources; and in response to determining that the target-object data is available from more than one of the plurality of sources, fusing, by the controller, the target-object data that is available from more than one of the plurality of sources to create a single dataset about the target object.
Abstract:
A method of controlling a vehicle includes receiving a first signal from a user device, which indicates motion of the user device. The method additionally includes receiving first sensor data, which indicates motion of a feature external to the vehicle. The method also includes processing, via a controller, the first sensor data to compare the motion of the user device with the motion of the feature external to the vehicle. The method further includes communicating, via the controller, a second signal to the user device. The second signal indicates motion of the vehicle. The method additionally includes receiving a third signal from the user device. The third signal indicates a correlation between the motion of the vehicle and a motion observed by the user device. The method further includes selectively controlling, via the controller, the vehicle towards the feature based on the processing and on the receiving the third signal.
Abstract:
A vehicle crowd sensing system and method of selective sensing for the vehicle crowd sensing system. The method, in one implementation, involves receiving a plurality of detection reports from a first set of vehicles, each detection report including an event, a position qualifier of the event, and a severity qualifier of the event; developing an inherent error model for the event that includes a compilation of the position qualifiers of the event and the severity qualifiers of the event; and determining a resampling instruction for the event. The resampling instruction is based on an action model and the action model is at least partly a factor of the inherent error model.
Abstract:
An exemplary method for detecting a lateral oscillation of a vehicle includes monitoring yaw rate data and lateral acceleration data of the vehicle, analyzing the yaw rate and lateral acceleration data to generate a yaw rate signal energy distribution and a lateral acceleration signal energy distribution, determining whether a series of conditions are satisfied; and if the conditions are satisfied, automatically controlling the actuator to reduce the lateral oscillation of the vehicle. In some examples, the series of conditions includes the detection of spikes in the yaw rate and lateral acceleration data at approximately the same frequency, a magnitude of the spikes exceeding a first threshold, and a phase shift between the yaw rate and lateral acceleration data exceeding a second threshold.
Abstract:
Embodiments include methods, systems and computer readable storage medium for determining a location for one or more wireless stations or access points. The method includes receiving, by a processor, trace data from one or more vehicles. The method further includes performing, by the processor, a particle filtering analysis on the trace data. The method further includes determining, by the processor, a location for the one or more wireless stations or access points.
Abstract:
A method to evaluate a quality of road feedback to a driver in a steer-by-wire system includes setting a test bench by grounding a steering system steering wheel using a physical 6th order impedance constraint; preloading the steering system with data defining a steering wheel angle and a vehicle speed; applying tie rod load signals to the steering system and recording signals representing each of a tie rod load, a steering wheel torque and a steering wheel acceleration. In parallel: applying first a fast Fourier transform algorithm to the recorded signals to calculate each of a gain, a phase and a coherence response from the tie rod load to the steering wheel torque; applying second a fast Fourier transform algorithm to the recorded signals to calculate a power spectral density of the steering wheel torque versus frequency; and applying frequency weighting functions to the gain and power spectral density functions.
Abstract:
Methods and apparatus are provided for damage risk indication of a steering system of a vehicle. The apparatus includes a sensor system and a processing device. The sensor system is configured to detect a velocity of a servo unit of a steering system of the vehicle. The processing device is configured to determine an acceleration value of the servo unit and to compare the acceleration value, velocity values and thresholds of the servo unit with an acceleration value threshold, and to generate a warning signal if the acceleration value of the servo unit exceeds the acceleration value threshold. Thus, a damage risk is determined and the vehicle can be subjected to further damage investigation.
Abstract:
A method of controlling media content between a portable device and a head control unit. A first link is initiated for transmitting control signals between a control client and a control server. A second link is initiated for transmitting media content between a data server and a data client. The first link has a lower traffic volume capacity than the second link and a shorter latency for the control signals than for the media content signal over the second link. The control client generates control signals identifying a user's request and transmits the control signals to the control server using the first link. The control server provides instructions to the data server for executing the user request. The retrieved media data is transmitted from the data server to the data client using the second link. The media data is output to the user over the media output device.