A system for detection of a target sound in an environment of a vehicle, includes an audio sensor, a computer processor, and a memory storing a digital target sound template produced by converting a sample of the target sound in accordance with conversion parameters. The computer processor receives a sound signal from the audio sensor, digitizes the sound signal in accordance with the conversion parameters, and determines a degree of similarity between the digitized signal and the digital target sound template. The sound signal may be logarithmically amplified before being digitized. The sound signal may be received from two audio sensors, and the direction of the target sound may be determined based on a difference between time indices for detection of the target sound for each audio sensor.

Disclosed herein are a method and apparatus for recognizing driving information using multiple sensors. The method for recognizing driving information according to an embodiment of the present disclosure includes generating a magnetic sensing signal from magnetic paint applied to road markings, generating a frequency-converted signal using the magnetic sensing signal, and generating driving information for a vehicle using the frequency-converted signal.

A system for detection of a target sound in an environment of a vehicle, includes an audio sensor, a computer processor, and a memory storing digital target sound templates produced by converting samples of the target sound in accordance with conversion parameters. The computer processor receives the sample sound signal from the audio sensor, converts the sample sound signal to a digital sample vector in accordance with the conversion parameters, compares the vector to each of the templates to determine if a degree of similarity of the vector to any one of the templates exceeds a predetermined threshold value, and notifies a user or a vehicle control system if the threshold value is exceeded.

A system and method are disclosed for overheight vehicle impact avoidance and incident detection. A detection subsystem of the system determines whether an incoming vehicle is clear to pass, depending at least on its height. The detection subsystem relies on distance sensors located along the freeway to detect the highest point of the vehicle and outputs an indication of whether the vehicle can pass. A warning subsystem receives the indication that a vehicle is overheight and provides a warning indication to the driver about the vehicle's inability to pass an upcoming structure. The warning subsystem may also perform a variety of other tasks, such as, for example, logging a variety of information about the vehicle and the incident, sending data about the incident locally to a central command, and generating reports.

A method and apparatus are provided for determining the location of a vehicle. According to one aspect the method and apparatus the movements of motor rotors in a vehicle are monitored and used to determine speed, travel distance and/or travel path of a vehicle may be determined. Using various navigation techniques, the distance and travel path may then be used to determine the vehicle's location. Furthermore, movements of the motor rotors may also be used to report the positions of the steering and drive systems for the purpose of informing the vehicle controller as a method of feedback.

Automotive electronic control unit programmed to realtime estimate either or both of vehicle mass and road slope, wherein; a. road slope, is estimated; a1. when vehicle is considered stopped based on an accelerometer signal indicative of vehicle acceleration, wherein the vehicle is considered stopped in the presence of substantially zero values of a speed signal indicative of vehicle speed, and a2. when vehicle is in rectilinear and curvilinear motion by implementing a road slope observer based on a linear Kalman filter, which is designed to: a21. operate based on signals indicative of vehicle speed and acceleration, and a22. compensate for accelerometric disturbances due to; a221. vehicle static pitch resulting from vehicle load distribution, and a222. vehicle dynamic pitch due to acceleration to which vehicle is subjected during motion, and a223. accelerometric disturbance components due to vehicle lateral dynamics; b. vehicle mass is estimated: b1. when vehicle is in motion, and b2. based on a recursive least square algorithm with forgetting factor, and b3. based on an accelerometric signal indicative of vehicle acceleration, on a vehicle speed signal, and other signals representing a vehicle propulsive/resistive torque, and b4. at different low gears, to provide a mass estimation and an associated variance for each gear, and b5. based on mass estimations and corresponding variances for each gear, and b6. compensating for accelerometer disturbances due to: b61, vehicle dynamic pitch; and b62. accelerometric disturbance components due to vehicle lateral dynamics; and b7. minimizing uncertainties on propulsive/resistive torque due to gear efficiency and rolling resistance.

A system for detection of a target sound in an environment of a vehicle, includes an audio sensor, a computer processor, and a memory storing digital target sound templates produced by converting samples of the target sound in accordance with conversion parameters. The computer processor receives the sample sound signal from the audio sensor, converts the sample sound signal to a digital sample vector in accordance with the conversion parameters, compares the vector to each of the templates to determine if a degree of similarity of the vector to any one of the templates exceeds a predetermined threshold value, and notifies a user or a vehicle control system if the threshold value is exceeded.

The present disclosure provides a method of estimating a weight of a vehicle, including determining whether a current state is an enable state in which a vehicle stoppage event due to brake occurs from vehicle driving information, by a weight estimating system, when the current state is the enable state, removing noise by filtering an acceleration signal input from an acceleration sensor at a moment when the vehicle is stopped, by the weight estimating system, determining a period value of an acceleration signal from the acceleration signal from which noise is removed, by the weight estimating system, and estimating the weight of the vehicle using information on the determined period value, by the weight estimating system.

A maneuvering assistant system for a vehicle combination comprising an interface configured to receive measurements from a camera, processing circuitry implementing a Kalman filter configured to observe an articulation angle of the vehicle combination on the basis of the measurements from the camera, a signal analyzer configured to repeatedly estimate a signal noise of the camera measurement and to adjust the Kalman filter on the basis of statistics derived from the estimated signal noise, and an assistance unit configured to receive an estimate of the articulation angle from the Kalman filter and provide drive actions based on the estimate.

A method and apparatus are provided for determining the location of a vehicle. According to one aspect the method and apparatus the movements of motor rotors in a vehicle are monitored and used to determine speed, travel distance and/or travel path of a vehicle may be determined. Using various navigation techniques, the distance and travel path may then be used to determine the vehicle's location. Furthermore, movements of the motor rotors may also be used to report the positions of the steering and drive systems for the purpose of informing the vehicle controller as a method of feedback.