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.

A communications transceiver system that employs self-interference mitigation techniques can detect static objects by using techniques that introduce angular or Doppler diversity. This can include moving Tx and Rx antennas and/or performing beam sweeping. When processing RF sensing data from reflected RF signals, self-interference mitigation techniques can be used and compensation can be made for the movement and/or beam sweeping to allow for both self-interference mitigation and detection of static objects.

A method for determining a position of a vehicle is provided. First and second signals having first and second frequencies are transmitted towards a target. First and second reflected signals corresponding to the first and second signals reflected from the target are received at first and second antennae, respectively. A first frequency difference between the first signal and the first reflected signal is determined. The first frequency difference corresponds to a first range between the vehicle and target. A second frequency difference between the second pulsed signal and the second reflected signal is determined. The second frequency difference corresponds to a second range between the vehicle and target. A vehicle velocity is based on the first range and the second range. A position of the vehicle is determined based on the velocity.

A method for determining a position of a vehicle is provided. First and second signals having first and second frequencies are transmitted towards a target. First and second reflected signals corresponding to the first and second signals reflected from the target are received at first and second antennae, respectively. A first frequency difference between the first signal and the first reflected signal is determined. The first frequency difference corresponds to a first range between the vehicle and target. A second frequency difference between the second pulsed signal and the second reflected signal is determined. The second frequency difference corresponds to a second range between the vehicle and target. A vehicle velocity is based on the first range and the second range. A position of the vehicle is determined based on the velocity.

A method, apparatus and computer readable storage medium are provided to determine motion information associated with a mobile device. A plurality of signal propagation time parameters are obtained or determined. Each signal propagation time parameter is associated with a respective observation position of the mobile device and a respective installation position a radio device. Each signal propagation time parameter is representative of a respective signal propagation time value of radio signal(s) traveling between the respective observation position and the respective installation position. For each of the installation positions of the radio devices, respective point coordinates are determined that represent the respective installation position of the respective radio device, at least partially based on the signal propagation time parameters. Motion information associated with the mobile device is determined at least partially based on the signal propagation time parameters and the point coordinates that have been determined.

A vehicle speed calculation system includes a radar mounted at a vehicle and including an antenna used to receive an echo signal, a memory storing a program code, and a processor configured to execute the program code to obtain the echo signal and generate detection data according to the echo signal, determine, according to the detection data, a stationary object around the vehicle and stationary relative to a ground, determine a relative moving speed of the stationary object relative to the vehicle, and determine a vehicle speed of the vehicle according to the relative moving speed of the stationary object.

Multiple exemplary systems for preventing jackknifing are disclosed. The systems comprise an electric motor for extending a shaft into a fifth wheel coupling when a tractor trailer is traveling at above a predetermined speed in a forward direction, physically preventing the tractor trailer from jackknifing. In order to avoid dependence on integration with a tractor, sensors on a trailer are used to determine speed without communication with the tractor or any instruments therein, via reception of one or more emitted waves. When the trailer is determined to be traveling at below the predetermined speed in a forward direction, or at any speed in a backward direction, the shaft is retracted to allow the trailer to freely rotate with respect to the tractor.

A method and apparatus of predicting a crash are provided. The method includes detecting coordinates of a target obstacle based on first coordinate information of a radar sensor and second coordinate information of an ultrasonic sensor, translating the second coordinate information to the coordinate system of the first coordinate information and generating translated coordinate information, estimating a position, speed, and acceleration of a vehicle if the vehicle is a predetermined distance from the target obstacle based on the translated coordinate information, determining a potential crash type between the vehicle and the target obstacle based on the estimated position, speed and acceleration of the vehicle, determining a three-dimensional movement trajectory based on the estimated position, speed and acceleration of the vehicle and the determined crash type, and predicting a crash point of the vehicle, a crash point of the target object and a crash time based on the three-dimensional movement trajectory.

A method and apparatus of predicting a crash are provided. The method includes detecting coordinates of a target obstacle based on first coordinate information of a radar sensor and second coordinate information of an ultrasonic sensor, translating the second coordinate information to the coordinate system of the first coordinate information and generating translated coordinate information, estimating a position, speed, and acceleration of a vehicle if the vehicle is a predetermined distance from the target obstacle based on the translated coordinate information, determining a potential crash type between the vehicle and the target obstacle based on the estimated position, speed and acceleration of the vehicle, determining a three-dimensional movement trajectory based on the estimated position, speed and acceleration of the vehicle and the determined crash type, and predicting a crash point of the vehicle, a crash point of the target object and a crash time based on the three-dimensional movement trajectory.

In some examples, a radar system is configured to mount on an ownship vehicle for interleaving a weather detection mode and an object detection mode. The radar system comprises a phased-array radar device configured to receive weather signals in the weather detection mode, receive sensing signals in the object detection mode, and interleave the weather detection mode and the object detection mode. The radar system further comprises processing circuitry configured to determine weather conditions based on the received weather signals and detect an object based on the received sensing signals.