Methods and systems are provided for controlling a vehicle action based on a condition of a road on which a vehicle is travelling, including: obtaining first sensor data as to a surface of the road from one or more first sensors onboard the vehicle; obtaining second sensor data from one or more second sensors onboard the vehicle as to a measured parameter pertaining to operation of the vehicle or conditions pertaining thereto; generating a plurality of road surface channel images from the first sensor data, wherein each road surface channel image captures one of a plurality of facets of properties of the first sensor data; classifying, via a processor using a neural network model, the condition of the road on which the vehicle is travelling, based on the measured parameter and the plurality of road surface channel images; and controlling a vehicle action based on the classification of the condition of the road.

Disclosed is a method for resetting the estimated position of a vehicle, including: —a step of receiving by a RADAR system a real RADAR image, —a step of acquiring an estimated position of the vehicle, —a step of calculating by a computer equipping the vehicle a simulated RADAR image, as a function of the estimated position of the vehicle and of a cartographic model of the environment of the vehicle, —a step of comparing the real RADAR image and the simulated RADAR image, and —a step of correcting the estimated position of the vehicle as a function of the result of the comparison.

A multisensor data fusion perception method includes receiving feature data from a plurality of types of sensors, obtaining static feature data and dynamic feature data from the feature data, constructing current static environment information based on the static feature data and reference dynamic target information, and constructing current dynamic target information based on the dynamic feature data and reference static environment information such that construction of a dynamic target and construction of a static environment are performed by referring to each other's construction results and the perception capability is for the dynamic target and the static environment that are in an environment in which the moving carrier is located.

Methods, systems, computer-readable media, and apparatuses for radar or LIDAR measurement are presented. Some configurations include transmitting, via a transceiver, a first beam having a first frequency characteristic; calculating a distance between the transceiver and a moving object based on information from at least one reflection of the first beam; transmitting, via the transceiver, a second beam having a second frequency characteristic that is different than the first frequency characteristic, wherein the second beam is directed such that an axis of the second beam intersects a ground plane; and calculating an ego-velocity of the transceiver based on information from at least one reflection of the second beam. Applications relating to road vehicular (e.g., automobile) use are described.

Doppler analysis of surface-penetrating radar signals are utilized to compute or estimate parameters associated with vehicle motion. The Doppler shift may originate with reflections from subsurface or above-surface features ahead of (or behind) the moving vehicle, in which case a vehicle speed may be computed from the shift; or may originate with reflections from surface or subsurface features directly below the vehicle, in which case the shift corresponds to a vertical speed that may be used to sense the performance of, or changes in, the vehicle's suspension system.

An RFID detector suitable for use in a passive RFID tag system that employs frequency hopping spread spectrum (FHSS) operation obtains an indication of at least one characteristic of a CW RF signal employing a hopped-to carrier frequency that is being transmitted from an RFID tag reader, e.g., for use in activating the RFID tag to be located, the indication of the characteristic being obtained based on a signal that is received from a source other than the RFID detector. The RFID detector may use the obtained indication of the characteristic of the CW RF signal to determine at least one position related parameter for the RFID tag. A location, e.g., of the tag, of a group of tags, of the RFID detector, or of another RFID detector, may be determined based on the position parameter.

A system for determining a stationary state of a rail vehicle on a track includes a first radar mounted at an end of the rail vehicle and a second radar mounted at another end of the rail vehicle. A speed sensor is mounted on the rail vehicle. A series of fixed reflective track features are found along the track. A processing unit, communicably connected with the speed sensor, the first radar and the second radar receives data from the first radar and the second radar corresponding to the distance to the fixed reflective track features and determines the stationary state or low-speed condition of the rail vehicle and checks the state or condition by comparing it with an output of the speed sensor.

A vehicle locator includes an on-board computer and a ground penetrating radar mounted on the vehicle that is communicably connected to the on-board computer. A reflective landmark is located at a known location along the path of the vehicle. The reflective landmark includes reflective elements arranged to encode data. The ground penetrating radar transmits signal energy and detects reflected signal energy reflected by the reflective landmark and communicates encoded data representative of the reflected signal energy to the on-board computer. The on-board computer decodes the encoded data and thereby determines the location of the vehicle.

A multisensor data fusion perception method includes receiving feature data from a plurality of types of sensors, obtaining static feature data and dynamic feature data from the feature data, constructing current static environment information based on the static feature data and reference dynamic target information, and constructing current dynamic target information based on the dynamic feature data and reference static environment information such that construction of a dynamic target and construction of a static environment are performed by referring to each other's construction results and the perception capability is for the dynamic target and the static environment that are in an environment in which the moving carrier is located.

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.