Method for identifying and classifying objects, and motor vehicle

A method of detecting and classifying objects disposed in surroundings of a motor vehicle, the method comprising:

• emitting active radiation by a sensor during a plurality of successive measurement cycles;
• recording echo radiation reflected by the object;
• moving the sensor relative to the object after each measurement cycle of the plurality of successive measurement cycles;
• evaluating the recorded echo radiation recorded during each measurement cycle by statistical methods;
• and
• classifying the object based on the evaluating step.

A motor vehicle provided with at least one vehicle door, the motor vehicle comprising:

• at least one vehicle door;
• at least one sensor device including a radar sensor, the radar sensor configured to emit active radiation during a plurality of successive measurement cycles, during which the radar sensor is moved relative to an object after each measurement cycle of the plurality of successive measurement cycles, wherein the radar sensor is a component of the vehicle door and wherein the moving is accomplished by performing an opening or closing process of the vehicle door;
• and
• an evaluation device configured to
• evaluate, by statistical methods, recorded echo radiation reflected by the object and recorded for each measurement cycle of the plurality of successive measurement cycles, and
• classify the object based on the statistical methods.

A method of detecting and classifying an object disposed in surroundings of a motor vehicle, the method comprising:

• emitting, by a sensor disposed in or on the motor vehicle and configured to detect the object, active radiation;
• classifying with regard to a spatial extent of the object, including,
• moving the sensor relative to the object from one measurement cycle to at least one subsequent measurement cycle, and
• recording echo signals reflected from the object during the one measurement cycle and the at least one subsequent measurement cycle, and
• statistically evaluating information contained in the recorded echo signals,
• determining a feature vector from the information contained in the recorded echo signals, and the feature vector is employed for the statistically evaluating step and the classifying step,
• wherein the classifying step includes comparing the determined feature vector with a first feature vector for an ideal pole and a second feature vector for an ideal wall, and classifying the object as a wall or as a pole depending on the comparing step.