Abstract: Methods and systems for estimating motion of a vehicle are provided. Radar data pertaining to one or more stationary objects in proximity to the vehicle are obtained via one or more radar units of the vehicle. The motion of the vehicle is estimating using the radar data via a processor of the vehicle.

Abstract: Methods and systems for vehicle sensor compensation are provided. A sensor is configured to at least facilitating obtaining sensor data pertaining to an object in proximity to the vehicle. The sensor data includes a measured azimuth angle value for the object. A processor is coupled to the sensor. The processor is coupled to the sensor, and is configured to at least facilitate estimating a misalignment angle for the sensor using the sensor data and generating a correction factor for the measured azimuth angle value using the misalignment angle.

Abstract: A method of arbitrating conflicting outputs in a redundant control system. Execution data of a task executed by each controller in the redundant control system is recorded. The execution data includes an initial timestamp of each execution stream, identification of critical functions in each execution stream, and parameter values used by the critical functions. A path executed by each controller is identified based only on the critical functions executed for each execution stream. The recorded execution data of each executed path is applied to an arbitration module. An output result from one of the respective controllers selecting, by an arbitration module, based on the recorded execution data of each executed path. The output result of the selected controller is communicated to a next module for further processing.

Abstract: A front impact mitigation system for a host vehicle and a method for operating a front impact mitigation system. The front impact mitigation system can take into account the position of a rear object that trails the host vehicle to develop a modified front impact mitigation control signal that at least partially mitigates the likelihood of certain rear impact collisions between the rear object and the host vehicle when the host vehicle is responding to the presence of an impending leading obstacle. A modified front impact mitigation control signal may be developed to account for the speed of the host vehicle and the distance that the rear object trails the host vehicle.

Abstract: A method and sensor system are disclosed for automatically determining object sensor position and alignment on a host vehicle. A radar sensor detects objects surrounding the host vehicle in normal operation. Static objects are identified as those objects with ground speed approximately equal to zero. Vehicle dynamics sensors provide vehicle longitudinal and lateral velocity and yaw rate data. Measurement data for the static objects—including azimuth angle, range and range rate relative to the sensor—along with the vehicle dynamics data, are used in a recursive geometric calculation which converges on actual values of the radar sensor's two-dimensional position and azimuth alignment angle on the host vehicle.

Abstract: Methods and systems for vehicle sensor compensation are provided. A sensor is configured to at least facilitating obtaining sensor data pertaining to an object in proximity to the vehicle. The sensor data includes a measured azimuth angle value for the object. A processor is coupled to the sensor. The processor is coupled to the sensor, and is configured to at least facilitate estimating a misalignment angle for the sensor using the sensor data and generating a correction factor for the measured azimuth angle value using the misalignment angle.

Abstract: Methods and systems for estimating motion of a vehicle are provided. Radar data pertaining to one or more stationary objects in proximity to the vehicle are obtained via one or more radar units of the vehicle. The motion of the vehicle is estimating using the radar data via a processor of the vehicle.

Abstract: A method of diagnosing a state of health of a vision-based lane sensing system. A first misalignment factor is calculated as a function of a vehicle lateral offset and a vehicle heading. A second misalignment factor is calculated as a function of a vehicle speed, an estimated curvature of an expected path of travel, a lane curvature, and the vehicle heading. Histograms are generated for the first and second misalignment factors. A probability of a state of health is determined. A determination is made whether the probability of the state of health is within a predetermined threshold. An angle misalignment of the vision system is estimated. The angle misalignment of the vision system is corrected in response to the determination that the probability of the state of health is within the predetermined threshold; otherwise a warning of a faulty lane sensing system is actuated.