A scanning and perception system for a vehicle camera having an instantaneous field of view (iFOV) and configured to capture an image of an object at a saturation level in the camera's iFOV. The system also includes a light source configured to illuminate the camera's iFOV. The system additionally includes a radar configured to determine the object's velocity and the object's distance from the vehicle, and a mechanism configured to steer the radar and/or the camera. The system also includes an electronic controller programmed to regulate the mechanism and adjust illumination intensity of the light source in response to the saturation level in the image or the determined distance to the object. The controller is also programmed to merge data indicative of the captured image and data indicative of the determined position of the object and classify the object and identify the object's position in response to the merged data.

The present disclosure provides a method, an apparatus, an electronic device, and a readable storage medium for detection of vehicle traveling state. The method may include obtaining a frequency of an emitted microwave from a microwave sensor and a frequency of a reflected microwave received by the microwave sensor. The microwave sensor may be located at a vehicle head of a vehicle. The method may also include obtaining a running speed of the vehicle. The method may further include determining, according to the frequency of the emitted microwave, the frequency of the reflected microwave, and the running speed, whether the vehicle is traveling in a wrong direction.

The present disclosure provides a method, an apparatus, an electronic device, and a readable storage medium for detection of vehicle traveling state. The method may include obtaining a frequency of an emitted microwave from a microwave sensor and a frequency of a reflected microwave received by the microwave sensor. The microwave sensor may be located at a vehicle head of a vehicle. The method may also include obtaining a running speed of the vehicle. The method may further include determining, according to the frequency of the emitted microwave, the frequency of the reflected microwave, and the running speed, whether the vehicle is traveling in a wrong direction.

A motion state estimation method and apparatus relate to the fields of wireless communication and autonomous driving/intelligent driving. The method includes a step of obtaining a plurality of pieces of measurement data using a first sensor, where each of the plurality of pieces of measurement data includes at least velocity measurement information. The method further includes obtaining a motion state of the first sensor based on measurement data in the plurality of pieces of measurement data that corresponds to a target reference object, where the motion state includes at least a velocity vector of the first sensor. In the present disclosure, a more accurate motion state of the first sensor can be obtained, and a vehicle's autonomous driving capability or advanced driver assistant system (ADAS) capability is further improved.

A motion state estimation method and apparatus relate to the fields of wireless communication and autonomous driving/intelligent driving. The method includes a step of obtaining a plurality of pieces of measurement data using a first sensor, where each of the plurality of pieces of measurement data includes at least velocity measurement information. The method further includes obtaining a motion state of the first sensor based on measurement data in the plurality of pieces of measurement data that corresponds to a target reference object, where the motion state includes at least a velocity vector of the first sensor. In the present disclosure, a more accurate motion state of the first sensor can be obtained, and a vehicle's autonomous driving capability or advanced driver assistant system (ADAS) capability is further improved.

Presented are target object detection systems for deriving host vehicle velocities, methods for making/using such systems, and motor vehicles with host vehicle velocity estimation capabilities. A method of automating operation of vehicles includes an electronic transmitter of a vehicle's target object detection system emitting electromagnetic signals, and an electronic receiver receiving multiple reflection echoes caused by each electromagnetic signal reflecting off target objects within proximity of the vehicle. A vehicle controller determines a relative velocity vector for each target object based on these reflection echoes. The relative velocity vectors are assigned to discrete vector clusters. The controller estimates a host vehicle velocity vector as an average of the relative velocity vectors in the vector cluster containing the most relative velocity vectors and having the largest spatial spread. The controller commands one or more vehicle systems to execute one or more control operations responsive to the host vehicle velocity vector.

Presented are target object detection systems for deriving host vehicle velocities, methods for making/using such systems, and motor vehicles with host vehicle velocity estimation capabilities. A method of automating operation of vehicles includes an electronic transmitter of a vehicle's target object detection system emitting electromagnetic signals, and an electronic receiver receiving multiple reflection echoes caused by each electromagnetic signal reflecting off target objects within proximity of the vehicle. A vehicle controller determines a relative velocity vector for each target object based on these reflection echoes. The relative velocity vectors are assigned to discrete vector clusters. The controller estimates a host vehicle velocity vector as an average of the relative velocity vectors in the vector cluster containing the most relative velocity vectors and having the largest spatial spread. The controller commands one or more vehicle systems to execute one or more control operations responsive to the host vehicle velocity vector.

A system for virtual Doppler and/or aperture enhancement, preferably including one or more transmitter arrays, receiver arrays, and/or signal processors, and optionally including one or more velocity sensing modules. A method for virtual Doppler and/or aperture enhancement, preferably including transmitting a set of probe signals, receiving a set of reflected probe signals, and/or analyzing the set of received probe signals.

A system for virtual Doppler and/or aperture enhancement, preferably including one or more transmitter arrays, receiver arrays, and/or signal processors, and optionally including one or more velocity sensing modules. A method for virtual Doppler and/or aperture enhancement, preferably including transmitting a set of probe signals, receiving a set of reflected probe signals, and/or analyzing the set of received probe signals.

A blind spot detection system with speed detection function and device and method thereof are provided. The system is disposed on the rear portion of the vehicle, and includes a signal transceiving module and a central processing unit. The central processing unit includes a speed calculation module and an object detection module. The device includes a main body in which the signal transceiving module is disposed. A first signal is sent toward a detection area behind the vehicle for acquiring a second signal for blind spot detection. By calculation based on the second signal, a third signal is acquired for identifying the static and moving objects, and the relative speed between the vehicle and the static object is determined as the speed of the vehicle. Therefore, the blind spot detection system has a speed detection function.