An object recognition method includes generating a first frequency domain signal according to a first echo signal, updating at least one parameter of a primary classifier according to the first frequency domain signal and a training target corresponding to the first frequency domain signal, generating a second frequency domain signal according to a second echo signal, and generating object classification data corresponding to the second frequency domain signal according to the second frequency domain signal and the at least one parameter of the primary classifier. The object classification data is associated with presence of a second object.

In an embodiment, a method includes: receiving reflected radar signals with a millimeter-wave radar; generating a displacement signal indicative of a displacement of a target based on the reflected radar signals; filtering the displacement signal using a bandpass filter to generate a filtered displacement signal; determining a first rate indicative of a heartbeat rate of the target based on the filtered displacement signal; tracking a second rate indicative of the heartbeat rate of the target with a track using a Kalman filter; updating the track based on the first rate; and updating a setting of the bandpass filter based on the updated track.

In an embodiment, a method for radar interference mitigation includes: transmitting a first plurality of radar signals having a first set of radar signal parameter values; receiving a first plurality of reflected radar signals; generating a radar image based on the first plurality of reflected radar signals; using a continuous reward function to generate a reward value based on the radar image; using a neural network to generate a second set of radar signal parameter values based on the reward value; and transmitting a second plurality of radar signals having the second set of radar signal parameter values.

System, methods, and other embodiments described herein relate to adapting vehicle access by detecting a person carrying an object. In one embodiment, a method includes detecting a person near a vehicle for gaining access. The method also includes scanning the person for an object using a radar of the vehicle, wherein information from the radar indicates densities of the person and the object. Upon detecting the object using the densities, the method also includes adapting the access to a compartment of the vehicle.

A method for identifying a road condition of a road. A piece of road condition information representing the road condition is determined using a noise level detected by at least one ultrasonic sensor of a vehicle and a bottom echo detected from a road surface in the area of the vehicle.

Disclosed is a technique for processing signals received from a radar and, in particular, a technique for tracking a target on the basis of detected target candidate signals. The proposed invention introduces a recurrent neural network with a memory function in order to find a target signal from signals with noise and fake signals mixed therein. This recurrent neural network is trained to have a maximum of Q tracking buffers therein. According to an additional aspect, it is possible to increase tracking accuracy through a serial connection of the recurrent neural network. According to an additional aspect, it is possible to track multiple targets through a parallel connection of the recurrent neural network.

A method for detecting a moisture damage on an asphalt pavement based on adaptive selection of a penetrating radar (GPR) image grayscale includes the following steps: step 1: obtaining a moisture damage GPR image dataset through asphalt pavement investigation by using a ground GPR, where a GPR image with an appropriate plot scale is selected according to an adaptive GPR image selection method; step 2: adjusting image resolution, specifically, scaling a resolution of an initial GPR image dataset of a damage directly to 224×224 to obtain a BD dataset; step 3: inputting the dataset into a recognition model, specifically, inputting the BD dataset obtained in step 2 into the recognition model, performing operation by the recognition model, and performing step 4; and step 4: outputting a moisture damage result. The new method truly realizes automatic and intelligent target detection based on the GPR.

Technologies and techniques for detecting a parking space becoming available via an assistance system of a vehicle searching for a parking space. Radar signals are emitted by at least one radar sensor searching for the parking space and whether a parking space becoming available is recognized on the basis of received radar signals, which are evaluated by an evaluation unit of the vehicle. Micro-movements of a vehicle parked in a parking space, may characterize the vacating of the parking space, and may be detected by evaluating the radar signals reflected by this parked vehicle. A presumptive parking space becoming available may be identified by the assistance systems on the basis of such a detection of a micro-movement. An assistance system and a motor vehicle using the assistance system are also disclosed.

A method for automatically controlling an emotional environment in a vehicle is provided. The method includes generating reflected wave information by radiating an electromagnetic wave toward a rear seat of the vehicle and receiving a reflected wave. A degree of activity is determined based on the reflected wave information and at least one device installed within the vehicle is operated based on the degree of activity.

A method for automatically adjusting correction information in a radar system of a vehicle. The method includes: performing at least one acquisition of at least one item of acquisition information by a radar sensor, the acquisition information being specific to at least one item of angle information and one item of distance information relating to at least one detected object in an environment of the vehicle. An identification of a reference object is performed in the environment on the basis of the acquisition information. An ascertainment of the distance information relating to the reference object is performed on the basis of the acquisition information. The adjustment of the correction information is performed on the basis of the ascertained distance information relating to the reference object in order to provide a correction of the angle information.