Disclosed is a light and detection ranging (LiDAR) system for a vehicle, which includes: a laser generator generating an optical signal having an address signal and a pulse signal; and a plurality of LiDAR sensors connected to an optical fiber bus, in which each of the plurality of LiDAR sensors determines whether the pulse signal of the optical signal is received according to the address signal of the optical signal.

An apparatus is provided, which includes a first device, a second device, and a control circuit. The first device is configured to establish a wireless link with a wireless communication device in a first communication channel. The second device is configured to perform a first scan on a second communication channel to detect whether there are any radar signals on the second communication channel for a predetermined period of time. In response to the first scan satisfying a predetermined condition, the control circuit controls the first device to move the wireless link from the first communication channel to the second communication channel.

An apparatus, product monitoring system, and a method of measuring an amount of product on a roller are provided. The method includes receiving a first position distance between a position sensor and an exterior edge of the roller. The method also includes comparing the first position distance with a predetermined position distance. The predetermined position distance defines the distance between the position sensor and the exterior edge of the roller at a specific amount of product left on the roller. The method further includes determining the amount of product left on the roller based on the comparison of the first position distance and the predetermined position distance. The method still further includes causing the transmission of a signal relating to the amount of product left on the roller.

Systems, methods, and devices for radio frequency (RF) ranging-aided localization and crowdsourced mapping are provided. In one aspect, a method performed by a user equipment (UE) includes obtaining sensor data comprising first radio frequency (RF) ranging data and imaging data. The method further includes tagging the first RF ranging data with location information and semantic information, wherein the semantic information is based on the imaging data, and wherein the semantic information indicates a first portion of the RF ranging data is associated with a static object type and a second portion of the RF ranging data is associated with a temporary-static object type different from the static object type. The method further includes transmitting, to a RF ranging assistance server, the first RF ranging data tagged with the location information and the semantic information.

A system, a control unit, and a method for deciding a geofence event of a vehicle is disclosed. The control unit includes (i) a first road information generation module configured to generate first road information based on received map data and vehicle location data, the first road information including at least one or more candidate lanes based on a vehicle location, (ii) a second road information generation module configured to generate second road information based on received radar data, the second road information including at least a detected lane based on the radar data, (iii) a calculation module configured to perform integrated calculation on the first road information and the second road information to obtain a confidence level of each candidate lane, and determine a lane of the vehicle based on the calculated confidence level, and (iv) a decision module configured to decide, based on the determined lane, whether to trigger a geofence event, the geofence event including an event that the vehicle enters a geofence and an event that the vehicle exits a geofence.

The embodiments described herein provide ranging and location determination capabilities in RF-opaque environments, such as a jungle, that preclude the use of Global Positioning System (GPS) and/or laser ranging systems, utilizing transponders and Global Positioning System (GPS) receivers located on aerial vehicles. The aerial vehicles operate above the RF-opaque environment, and communicate with a ranging device within the RF-opaque environment on frequencies that propagate in the RF-opaque environment. The ranging device transmits RF signals to the transponders, which are received by the transponders and re-broadcasted back to the ranging device on a different frequency. The aerial vehicles also provide their coordinates to the ranging device using their GPS receivers. The ranging device uses information about the transmitted and received RF signals and the GPS coordinates of the aerial vehicles to calculate a perpendicular distance to a property line from the ranging device, and/or to calculate a coordinate location of the ranging device.

This document describes techniques and systems for improving accuracy of predictions on radar data using vehicle-to-vehicle (V2V) technology. V2V communications data and the matching sensor data related to one or more vehicles in the vicinity of a host vehicle are collected. The V2V data is used as label data and the radar data is used as the input data for training the model. The training may either occur onboard the host vehicle or remotely. Further, multiple host vehicles may contribute data to train the model. Once the model has been updated with the included training, the updated model is deployed to the sensor tracking system of the host vehicle. By using the dataset that includes the V2V communications data and the matching sensor data, the updated model may accurately track other vehicles and enable the host vehicle to utilize advanced driver-assistance systems safely and reliably.

A method for detecting an operating terrain is provided. The method includes obtaining point cloud data of an operating region that are collected by a laser radar at a current time, including three-dimensional coordinates of a plurality of sampling points. The operating region is divided into a plurality of grids, each having a corresponding height value. The method includes for any grid determining an input point of the grid from the plurality of sampling points, based on the three-dimensional coordinates. The method includes determining a type of the input point, based on a height coordinate of the input point and the height value of the grid. The type includes a noise point and a ground point. The method includes in response to determining that the input point is the ground point, updating the height value of the grid based on the height coordinate of the input point.

Methods and systems for modelling pipeline construction, include or implement steps of (a) obtaining ranging data of a pipeline construction location including a pipe; (b) processing the ranging data to produce a spatially organized point cloud; and (c) processing the point cloud to identify at least one geometric feature comprising a point or a two-dimensional feature representative of a pipe centreline, and associating the at least one geometric feature with the pipeline construction location. The ranging data may be data obtained from a lidar device. The pipeline construction may be underground construction, where pipe is laid in a ditch. Relevant information, such as depth-of-cover may be calculated from identified geometric features. Relevant information may be determined in real-time or near-real-time and displayed, communicated or recorded as desired.

Example signal transmission methods, apparatuses, systems, and computer storage media are disclosed. One example method includes obtaining, by a first detection apparatus, a first moment, where the first moment is a start moment of a first time unit, and the first time unit is used for the first detection apparatus to send a first signal. The first signal is sent by the first detection apparatus based on a first periodicity, where the first signal is used to indicate sending resource information of a detection signal, and the first time unit is further used for a second detection apparatus to receive the first signal.