Abstract: A computer includes a processor and memory, the memory can store instructions executable by the processor to display a first calibration symbol to appear at a first location of a virtual image plane viewable from a measured location of the eyes or head of an operator and display a second calibration symbol to appear at a second location of the virtual image plane according to an offset distance from the first location. The instructions additionally can additionally be to adjust the offset distance in response to adjusting the second location by receiving input from the operator to align the first calibration symbol with the second calibration symbol.

Abstract: At least one spoken utterance and a stored vehicle acoustic impulse response can be provided to a computing device. The computing device is programmed to provide at least one speech file based at least in part on the spoken utterance and the vehicle acoustic impulse response.

Abstract: A system for decoupling steering rack force disturbances in electric steering may comprise a steering wheel angle sensor, a yaw rate sensor, a lateral acceleration sensor, and a steering torque sensor. The system may also comprise a tire force generator configured to receive signals from the steering wheel angle sensor, the yaw rate sensor, and the lateral acceleration sensor and send a reference rack force to a controller. The system may further comprise a rack force observer configured to receive signals from the steering torque sensor and send an estimated rack force to the controller, wherein the controller is configured to receive signals from the tire force generator and the rack force observer, compare the estimated rack force with the reference rack force to determine a rack force disturbance, and adjust an auxiliary torque based on the rack force disturbance.

Abstract: A system for decoupling steering rack force disturbances in electric steering may comprise a steering wheel angle sensor, a yaw rate sensor, a lateral acceleration sensor, and a steering torque sensor. The system may also comprise a tire force generator configured to receive signals from the steering wheel angle sensor, the yaw rate sensor, and the lateral acceleration sensor and send a reference rack force to a controller. The system may further comprise a rack force observer configured to receive signals from the steering torque sensor and send an estimated rack force to the controller, wherein the controller is configured to receive signals from the tire force generator and the rack force observer, compare the estimated rack force with the reference rack force to determine a rack force disturbance, and adjust an auxiliary torque based on the rack force disturbance.

Abstract: A method and implementation for detecting and characterizing audible transients in noise includes placing a microphone in a desired location, producing a microphone signal wherein the microphone signal is indicative of the acoustic environment, processing the microphone signal to estimate the acoustic activity that takes place in the human auditory system in response to the acoustic environment, producing an excitation signal indicative of the estimated acoustic activity, processing the excitation signal to identify each impulsive sound frequency-dependent activity as a function of time, producing a detection signal indicative of audible impulse sounds, processing the detection signal to identify an audible impulsive sound, and characterizing each impulsive sound.

Abstract: A method of objectively and subjectively monitoring noise and correspondingly level or loudness thereof in a product or assembly. The method includes placing a product on the vibration generator. Activating the vibration generator to move or shake the product to simulate usage conditions. A sound recording instrument measures and records the noise emitted by the product or assembly. Comparing an objective metric computed from the recorded noise with a threshold metric. Evaluating the vehicle to determine the noise source when the objective metric exceeds the threshold metric. Saving the objective metric along with the information relating to the source of the noise and necessary repairs for further evaluation and statistical analysis.

Abstract: A method of objectively and subjectively monitoring noise and correspondingly level or loudness thereof in a product or assembly. The method includes placing a product on the vibration generator. Activating the vibration generator to move or shake the product to simulate usage conditions. A sound recording instrument measures and records the noise emitted by the product or assembly. An objective metric or N10 level is computed from the recorded noise. The objective metric or N10 level is compared to a threshold metric or threshold N10 level. When the objective metric or N10 level exceeds the threshold metric or threshold N10 level, an operator or technician subjectively evaluates the vehicle to determine the source of the noise and performs any repairs necessary along with documenting those repairs.

Abstract: A method and implementation for detecting and characterizing audible transients in noise includes placing a microphone in a desired location, producing a microphone signal wherein the microphone signal is indicative of the acoustic environment, processing the microphone signal to estimate the acoustic activity that takes place in the human auditory system in response to the acoustic environment, producing an excitation signal indicative of the estimated acoustic activity, processing the excitation signal to identify each impulsive sound frequency-dependent activity as a function of time, producing a detection signal indicative of audible impulse sounds, processing the detection signal to identify an audible impulsive sound, and characterizing each impulsive sound.

Abstract: An automated method for detecting borderline spark knock in a spark ignition engine imitates borderline knock procedures in which human operators listen to engine sounds as a function of spark timing. The automated method employs a psychoacoustic model and a psychophysical process to estimate borderline spark knock. The psychoacoustic model represents the acoustic activity in the human auditory system in response to engine sounds. The psychoacoustic model is monitored as a function of spark timing to detect audible spark knocks. The psychophysical process alters the spark timing for detecting spark knocks until the spark timing converges to a value corresponding to borderline knock. The automated method eliminates human operator subjectivity in estimating borderline knock.