Abstract: A respective confidence level of a potential collision is determined for each of a plurality of targets based on each target's heading angle and distance from a host vehicle. A threat number is determined for each target when its respective confidence level is above a threshold. A vehicle component is actuated based on the threat number.

Abstract: A time to collision is determined between a turning host vehicle and each of a plurality of targets. Based on a lateral distance and a longitudinal distance, a minimum distance is determined between the turning host vehicle and each of the plurality of targets. A threat number is determined for each target selected based on the time to collision and the minimum distance. A vehicle component is actuated based on the threat number.

Abstract: A controller in a host vehicle includes a processor and a memory storing processor-executable instructions. The processor is programmed to calculate an error bound for confidence intervals of a predicted position at a future time of a target vehicle relative laterally to a current position and orientation of the host vehicle at a current time based on a current position and velocity of the target vehicle and the future time.

Abstract: A time to collision is determined between a turning host vehicle and each of a plurality of targets. Based on a lateral distance and a longitudinal distance, a minimum distance is determined between the turning host vehicle and each of the plurality of targets. A threat number is determined for each target selected based on the time to collision and the minimum distance. A vehicle component is actuated based on the threat number.

Abstract: A respective confidence level of a potential collision is determined for each of a plurality of targets based on each target's heading angle and distance from a host vehicle. A threat number is determined for each target when its respective confidence level is above a threshold. A vehicle component is actuated based on the threat number.

Abstract: A controller in a host vehicle includes a processor and a memory storing processor-executable instructions. The processor is programmed to calculate an error bound for confidence intervals of a predicted position at a future time of a target vehicle relative laterally to a current position and orientation of the host vehicle at a current time based on a current position and velocity of the target vehicle and the future time.

Abstract: A system and method is provided for determining if a windshield wiper of a vehicle should be automatically activated. The system and method may include a sensor system that receives at least one distance signal indicative of a distance between an object and a front windshield of the vehicle. The sensor system may further receive a relative velocity of the object using the at least one distance signal, the relative velocity being indicative of a velocity between the object and the front windshield of the vehicle. The sensor system may determine whether a windshield wiper should be automatically activated in response to the distance signal being within a distance activation range and the relative velocity being within a velocity activation range or the relative velocity exceeding a maximum velocity threshold.

Abstract: A system and method for outputting outside air temperature information and signaling apparatus configured for outputting powertrain operating information, the system comprising instructions causing the at least one data processing device to determine a first instance of signal strength calibration for the ultrasonic sensor based on a last known instance of outside air temperature and a first instance of powertrain operating information, instructions causing the at least one data processing device to determine a vehicle operating condition requiring alteration of the signal strength calibration for the ultrasonic sensor, instructions for altering the signal strength calibration for the ultrasonic sensor and instructions for altering an outside air temperature to be displayed to a driver of the vehicle.

Abstract: An automotive vehicle braking system and method for controlling the same. The system includes an electronic controller communicatively coupled to a vehicle braking system and a vehicle motion detection device. The braking system is configured to be automatically activated in response to detection of an object in a path of the vehicle. Once activated, the braking system is deactivated either by the driver or a pre-determined time period after detection that motion of the vehicle has stopped. Prior to deactivation of the vehicle braking system an HMI message is activated indicating imminent deactivation of the vehicle braking system.

Abstract: A first sensor outputs a signal characterizing a temperature of air being inducted by an engine of a vehicle. A second sensor outputs a signal characterizing a temperature of air surrounding an occupant cabin of the vehicle. A third sensor outputs a signal indicating presence of an adjacent object. A signal processing unit determines a distance between the third sensor and the adjacent object in accordance with a signal strength calibration as a function of the third sensor signal. The signal strength calibration is specified as a function of the first sensor signal when a first vehicle speed condition is met. The signal strength calibration is specified as a function of the second sensor signal when a second vehicle speed condition is met. The signal strength calibration is specified as a function of first sensor signal and the second sensor signal when a third vehicle speed condition is met.

Abstract: Temperature compensation for ultrasonic sensors can have a significant error that is highly undesirable because temperature of ultrasonic sensors and the temperature of the medium through which they sense objects affect signal strength calibrations (e.g., echo thresholds) applied when detecting an object. In order to increase the detection capabilities and reported distance of an object, ultrasonic sensors need to adjust their detection criteria and distance calculations as the temperature of air surrounding a vehicle (i.e., outside air temperature) changes and also as the temperature of the sensor changes. Embodiments of the inventive subject matter provide for a simple, effective and consistent approach for determining a temperature upon which such detection criteria and distance calculation adjustments can be based.

Abstract: Temperature compensation for ultrasonic sensors can have a significant error that is highly undesirable because temperature of ultrasonic sensors and the temperature of the medium through which they sense objects affect signal strength calibrations (e.g., echo thresholds) applied when detecting an object. In order to increase the detection capabilities and reported distance of an object, ultrasonic sensors need to adjust their detection criteria and distance calculations as the temperature of air surrounding a vehicle (i.e., outside air temperature) changes and also as the temperature of the sensor changes. Embodiments of the inventive subject matter provide for a simple, effective and consistent approach for determining a temperature upon which such detection criteria and distance calculation adjustments can be based.

Abstract: A first sensor outputs a signal characterizing a temperature of air being inducted by an engine of a vehicle. A second sensor outputs a signal characterizing a temperature of air surrounding an occupant cabin of the vehicle. A third sensor outputs a signal indicating presence of an adjacent object. A signal processing unit determines a distance between the third sensor and the adjacent object in accordance with a signal strength calibration as a function of the third sensor signal. The signal strength calibration is specified as a function of the first sensor signal when a first vehicle speed condition is met. The signal strength calibration is specified as a function of the second sensor signal when a second vehicle speed condition is met. The signal strength calibration is specified as a function of first sensor signal and the second sensor signal when a third vehicle speed condition is met.

Abstract: A collision detection system includes at least one sensor. The data from the sensor is input to a recursive filter which selectively uses the input to predict the motion of a target object relative to a host vehicle. The recursive filter continues to use the data from the sensor until the target object is within a threshold distance of the host vehicle. Within the threshold distance, the sensor does not reliably provide accurate data. Accordingly, the recursive filter omits the sensor input from motion estimates when the target object is within the threshold distance, which leads to significant improvement in target motion prediction.

Abstract: A system and method is provided for determining if a windshield wiper of a vehicle should be automatically activated. The system and method may include a sensor system that receives at least one distance signal indicative of a distance between an object and a front windshield of the vehicle. The sensor system may further receive a relative velocity of the object using the at least one distance signal, the relative velocity being indicative of a velocity between the object and the front windshield of the vehicle. The sensor system may determine whether a windshield wiper should be automatically activated in response to the distance signal being within a distance activation range and the relative velocity being within a velocity activation range or the relative velocity exceeding a maximum velocity threshold.

Abstract: A collision detection system includes at least one sensor. The data from the sensor is input to a recursive filter which selectively uses the input to predict the motion of a target object relative to a host vehicle. The recursive filter continues to use the data from the sensor until the target object is within a threshold distance of the host vehicle. Within the threshold distance, the sensor does not reliably provide accurate data. Accordingly, the recursive filter omits the sensor input from motion estimates when the target object is within the threshold distance, which leads to significant improvement in target motion prediction.