A machine learning model is trained by defining a scenario including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle. A perception of the scenario by sensors at the sensor locations is simulated. The scenario further includes a model of a parked vehicle with its engine running. The location of the parked vehicle and the simulated outputs of the sensors perceiving the scenario are input to a machine learning algorithm that trains a model to detect the location of the parked vehicle based on the sensor outputs. A vehicle controller then incorporates the machine learning model and estimates the presence and/or location of a parked vehicle with its engine running based on actual sensor outputs input to the machine learning model.

The present disclosure relates to a fast numerical simulation method for laser radar ranging considering a speed factor. According to the method, the motion of the laser radar itself and the motion of an object in the surrounding environment are fully considered in the simulation process. The motion of the laser radar itself not only includes the overall motion of the device, but also includes the rotary scanning motion of a laser emitter, so that accurate numerical simulation is provided. In addition, the amount of calculation is simplified by introducing a sampling point set, and the effect of improving the accuracy of simulation by using a small amount of calculation is achieved. The method is especially suitable for a scenario where the laser radar itself and/or surrounding objects are in a high-speed motion state, and can achieve a significantly higher simulation precision than that achieved by existing methods.

A position management device includes: a sensor which acquires point cloud data in each unit time; a pair selection unit which selects a pair of the coordinates between first point cloud data and second point cloud data; and a position estimation unit which estimates a position of the moving object by making both coordinates of the pair selected by the pair selection unit correspond to each other and performing positioning processing of the first point cloud data and the second point cloud data. The pair selection unit selects the pair of the coordinates by pairing a first point belonging to the first point cloud data and a second point belonging to the second point cloud data in a case where a difference between a direction of the first point and a direction of the second point is equal to or smaller than a predetermined first threshold.

Disclosed herein are examples of ladar systems and methods where data about a plurality of ladar returns from prior ladar pulse shots gets stored in a spatial index that associates ladar return data with corresponding locations in a coordinate space to which the ladar return data pertain. This spatial index can then be accessed by a processor to retrieve ladar return data for locations in the coordinate space that are near a range point to be targeted by the ladar system with a new ladar pulse shot. This nearby prior ladar return data can then be analyzed by the ladar system to help define a control parameter for use by the ladar receiver with respect to the new ladar pulse shot.

An environment sensing method includes the following steps, carried out by a data processor a) defining an occupancy grid comprising a plurality of cells; b) acquiring at least one measurement result from a distance sensor, representative of the distance of one or more nearest targets; and c) computing an occupation probability of the cells of the occupancy grid by applying to the measurement an inverse sensor model stored in a memory device in the form of a data structure representing a plurality of model grids associated to respective distance measurement results, at least some cells of a model grid corresponding to a plurality of contiguous cells of the occupancy grid belonging to a same of a plurality of angular sectors into which the field of view of the distance sensor is divided, and associating a same occupation probability to each one of the plurality of cells. An apparatus programmed or configured for carrying out the environment sensing method and a computer-implemented method of computing an inverse sensor model suitable for carrying out the environment sensing method are also provided.

Disclosed herein are examples of ladar systems and methods where data about a plurality of ladar returns from prior ladar pulse shots gets stored in a spatial index that associates ladar return data with corresponding locations in a coordinate space to which the ladar return data pertain. This spatial index can then be accessed by a processor to retrieve ladar return data for locations in the coordinate space that are near a range point to be targeted by the ladar system with a new ladar pulse shot. This nearby prior ladar return data can then be analyzed by the ladar system to help define a shot energy for use by the ladar system with respect to the new ladar pulse shot.

The disclosure relates to a method for simulating sensor data of a continuous wave (CW) Light Detection and Ranging (lidar) sensor. The method includes generating a ray set comprising at least one ray, based on a CW signal, where each ray in the ray set has an emission starting time and an emission duration. The method further includes propagating, for each ray in the ray set, the ray through a simulated scene including at least one object; computing, for each ray in the ray set, a signal contribution of the propagated ray at a detection location in the simulated scene; generating an output signal, based on mixing the CW signal with the computed signal contributions of the rays in the ray set; and at least one of storing and outputting the output signal.

Devices, methods, and computer program products for measuring the speed of an object. A speed measuring device includes a rangefinder module configured to measure distances from the device to a target object. Activating the device causes the device to measure a first distance from the device to the object along a first line-of-sight, and a second distance from the device to the object along a second line-of-sight. The device determines an angular displacement between the first line-of-sight and the second line-of-sight, and one or more of an elapsed time between measuring the first distance and measuring the second distance and a radial velocity of the object. The device then determines the absolute speed of the object based on the first distance, the second distance, the angular displacement, and one or more of the elapsed time and radial velocity.

Spectral components of waves having one or more properties other than phase and amplitude that vary monotonically with time at a receiver, and provide retardations or lags in the variation in proportion to the times or distances traveled from the sources of the waves to the receiver. The lags concern the property values at departure from a source and are absent in its proximity. Orthogonality of the lags to modulated information makes them useful for ranging and for separation or isolation of signals by their source distances. Lags in frequencies and wavelengths permit multiplication of capacities of physical channels. Constancy of the lagging wavelengths along the entire path from a source to the receiver enables reception through channels or media unusable at the source wavelengths, as well as imaging at wavelengths different from the illumination.

The objective of the present invention is to provide a quantum receiver using square of homodyne detection for detecting a target of a quantum radar by using the square of homodyne detection that uses homodyne detection used in quantum information processing using continuous variables, and data processing, and a measurement method therefore. In order to achieve the above objective, the quantum receiver for detecting a target of a quantum radar using the square of homodyne detection according to the present invention comprises: a first 50:50 beam splitter for mixing signals coming into an input terminal; and two light quantity measurement units for measuring the quantity of light respectively outputted to two output terminals of the first 50:50 beam splitter.