A system and method is disclosed for classifying one or more objects within a vicinity of a vehicle. Ultra-sonic data may be received from a plurality of ultra-sonic sensors and may comprise echo signals indicating one or more objects that are proximally located within a vicinity of a vehicle. One or more features may be calculated from the ultra-sonic data using one or more signal processing algorithms unique to each of the plurality of ultra-sonic sensors. The one more features may be combined using a second-level signal processing algorithm to determine geometric relations for the one or more objects. The one or more features may then be statistically aggregated at an object level. The one or more objects may then be classified using a machine learning algorithm that compares an input of each of the one or more features to a trained classifier.

A method for checking a distance measuring device of a transportation vehicle wherein the distance measuring device has ultrasonic sensors. A functional impairment of at least one ultrasonic sensor, a check is performed to determine whether one of the ultrasonic sensors is maladjusted, and an often occurring source of a fault causing a functional impairment of ultrasonic sensors is considered.

According to one embodiment, a vehicle guidance device is to be installed in a vehicle for providing path guidance to the vehicle. The device includes a plurality of receivers that receives a ranging information signal via a ultrasonic-wave ranging sensor, the ranging information signal including an ultrasonic-wave ranging signal on which path guidance information is superimposed, the ultrasonic-wave ranging signal being for measuring a distance to an object; an information extractor that extracts, for each of the receivers, the path guidance information from the ranging information signal; and a path guide that provides the path guidance on the basis of a distance corresponding to the ultrasonic-wave ranging signal and the path guidance information.

A system, comprising a computer having a processor and a memory storing instructions executable by the processor to identify a height of a curb that is at least one of within or bordering a parking area having a specified length and width. The instructions include instructions to identify a location of the curb. The instructions include instructions to determine a parking position within the parking area based on the height of the curb and the location of the curb. The instructions include instructions to park a vehicle at the parking position within the parking area.

The present disclosure provides a method, system, and apparatus for processing parking and a vehicle controller, and relates to the field of intelligent transportation technology, specifically to the field of automated parking technology. The method is executed by a parking system deployed on a vehicle controller, the parking system including a perception module and other modules except the perception module; the perception module being deployed on a first operating system in the vehicle controller; and the other modules being deployed on a second operating system in the vehicle controller; the method includes: processing an image collected by an image collector through the perception module to obtain perception result data; and controlling a vehicle based on the perception result data obtained from the perception module by the other modules.

A vehicular lighting system includes a light projecting device disposed at each headlight of a vehicle. The light projecting device is part of the respective headlight. The light projecting device, when operated, projects an animated sequence of visual images or a sequence of visual light patterns on a wall in front of the vehicle. The projected animated sequence of visual images or projected sequence of visual light patterns is viewable at the wall by a driver of the vehicle. The light projecting device may include a matrix of light emitting diodes. The visual images or visual light pattern projected by the light projecting device, when operated, may change as distance between the vehicle and the wall decreases.

A method for reducing parking violations includes: searching for an empty parking spot in an area surrounding a vehicle; receiving, by a controller of the vehicle, parking restriction information in the area surrounding the vehicle, wherein the controller receives the parking restriction information from sensors of the vehicle; determining, by the controller of the vehicle, that the empty parking spot is invalid; and activating, by the controller of the vehicle, an alarm to alert a vehicle operator of the vehicle that the empty parking spot is invalid.

A method is provided for classifying an object, in particular in the surroundings of a motor vehicle, using an ultrasonic sensor system, the ultrasonic sensor system including a plurality of spatially distributed ultrasonic sensors. A plurality of measurements are carried out continuously during a measurement, an ultrasonic signal being emitted by one of the ultrasonic sensors, a signal being received by at least one of the ultrasonic sensors which includes a plurality of reflected echo signals, so-called multiple echoes, and the received echo signals being associated with an object. A plurality of features may be determined from the received echo signals. The object is classified as a function of a combination of at least two of these features, in particular as a pedestrian.

Disclosed are an ultrasonic sensor, a parking assistance system including the ultrasonic sensor, and a signal processing method, the ultrasonic sensor being provided with two different signal processing paths referred to as a data compression unit and a data extractor and transmitting both processed signal data to a controller by a data transmitter, thereby complementing the advantages of each signal processing path to enhance the precision of the detection result of the sensor.

A vehicle control device is mountable on a vehicle. The vehicle control device includes: a processor; and a memory storing instructions that, when executed by the processor, cause the vehicle control device to perform operations including: acquiring detection information obtained by detecting an obstacle around the vehicle; performing collision determination of evaluating a possibility of collision with the obstacle; generating, based on the detection information, information on an approaching object that is an obstacle approaching the vehicle and information on a detection point indicating an obstacle that does not move; estimating a position of a shielding object based on the information on the detection point; evaluating, based on the position of the shielding object and the information on the approaching object, a ghost likelihood indicating a possibility that the approaching object is a ghost; and excluding, based on the ghost likelihood, the approaching object from the collision determination.