A coded localization system includes a plurality of optical channels arranged to cooperatively distribute electromagnetic energy from at least one object onto a plurality of detectors. Each of the channels includes a localization code that is different from any other localization code in other channels, to modify electromagnetic energy passing therethrough. Digital outputs from the detectors are processable to determine sub-pixel localization of the object onto the detectors, such that a location of the object is determined more accurately than by detector geometry alone. Another coded localization system includes a plurality of optical channels arranged to cooperatively distribute a partially polarized signal onto a plurality of pixels. Each of the channels includes a polarization code that is different from any other polarization code in other channels to uniquely polarize electromagnetic energy passing therethrough. Digital outputs from the detectors are processable to determine a polarization pattern.

Disclosed are techniques for navigating a mobile machine, such as an autonomous robot, in an environment that includes objects that may block, reflect, or distort satellite signals to be used for positioning. Satellite data may be captured from one or more satellites. An image may be captured using an imaging device that is at least partially oriented toward the one or more satellites. A set of sky scores may be calculated for a set of ground positions surrounding the mobile machine based on the satellite data and the image. Each of the set of sky scores may be indicative of an accuracy of a satellite-based position at one of the set of ground positions. The mobile machine's navigation may be modified using the set of sky scores.

Embodiments provide for a method of determining a geospatial position of a point of interest and a portable positioning device. In one embodiment, the method includes collecting data from a receiving unit and data from at least one of an imaging device and an IMU of the positioning device for each one of a plurality of positions of the positioning device. The collected data is then transmitted to a data fusing processor for determining orientations and positions of the positioning device for the plurality of positions in a global coordinate system. Further, the method includes obtaining a pointing input including a sighting direction towards the point of interest from the positioning device being positioned at at least one reference position. The pointing input is transmitted to the data fusing processor for identifying the point of interest and for determining the geospatial position of the point of interest in the global coordinate system.

A method for supporting positioning of a vehicle using a satellite positioning system is disclosed. The method includes generating, in real-time, a sliding window map (SWM) based on 3D point clouds from a 3D LiDAR sensor and an attitude and heading reference system (AHRS), wherein the SWM provides an environment description for detecting and correcting a non-line-of-sight (NLOS) reception; accumulating the 3D point clouds from previous frames into the SWM for enhancing a field of view (FOV) of the 3D LiDAR sensor; receiving global navigation satellite system (GNSS) measurements from satellites, by a GNSS receiver; detecting NLOS reception from the GNSS measurements using the SWM; correcting the NLOS reception by NLOS remodeling when a reflection point is not found in the SWM; and estimating a GNSS positioning by a least-squares algorithm. It is the objective to provide a method that mitigates NLOS caused by both static buildings and dynamic objects.

A satellite signal calibration system can receive sensor data from one or more sensors provided on a vehicle and detect satellite signal from one or more satellites of a satellite positioning system. Using the sensor data, the system can perform a localization operation to determine a current location of the vehicle. The system may then determine timing offsets of the satellite signals from each of the one or more satellites based at least in part on the current location of the vehicle.

A method of mapping and localization is disclosed that includes, reconstructing a point cloud and a camera pose based on VSLAM, synchronizing the camera pose and a GPS timestamp at a first set of GPS coordinate points and transforming the first set of GPS coordinate points corresponding to the GPS timestamp into a first set of ECEF coordinate points. The method also includes determining a translation and a rotation between the camera pose and the first set of ECEF coordinate points, transforming the point cloud and the camera pose into a second set of ECEF coordinates based on the translation and the rotation and transforming the point cloud and the camera pose into a second set of GPS coordinate points. The method further includes constructing and storing a key-frame image, a key-frame timestamp and a key-frame GPS based on the second set of GPS coordinate points.

Disclosed are methods, systems, and non-transitory computer-readable medium for distributed vehicle processing. For instance, the method may include: in response to determining a first trigger condition of a first set of trigger conditions is satisfied, performing a first process corresponding to the first trigger condition on-board a vehicle; in response to determining a second trigger condition of a second set of trigger conditions is satisfied, prompting a second process corresponding to the second trigger condition by transmitting an edge request to an edge node and receiving an edge response from the edge node; and in response to determining a third trigger condition of a third set of trigger conditions is satisfied, prompting a third process corresponding to the third trigger condition by transmitting a cloud request to a cloud node and receiving a cloud response from the cloud node.

An embodiment mobility device includes a position detector configured to detect a first current position of the mobility device, a display configured to display position information of the mobility device, and a controller configured to set the first current position of the mobility device detected by the position detector as first position information, identify an augmented reality (AR) marker in a predetermined range, based on the first position information, determine a second current position of the mobility device based on the identified AR marker, and set the second current position of the mobility device determined based on the identified AR marker as second position information, and determine final position information of the mobility device by applying the second position information to the first position information.

An information communication system, a standalone data transmission system, a data relay system, apparatus for performing transmission, process of sending datum over distances, and various methods of use are presented. The present disclosure provides for instantaneous information transmission without the need for a data connection, broadband, internet, wifi, or the like.

A device may receive, from a vehicle device, a geographical (e.g., GNSS) location of a vehicle, and may utilize the GNSS location as a determined location of the vehicle when the GNSS location satisfies a first threshold. The device may receive, from the vehicle device, an image identifying reference points associated with the vehicle, and may process the image, with a VPS, to calculate a VPS location of the vehicle. The device may utilize the GNSS location of the vehicle as the determined location when the VPS location fails to satisfy a second threshold, and may calculate, when the VPS location of the vehicle satisfies the second threshold, coordinate sets based on groups of coordinate combinations from the GNSS location and the VPS location. The device may process the coordinate sets, with a model, to determine the determined location, and may perform actions based on the determined location.