This disclosure describes systems and methods used in the development and validation of autonomous vehicles ability to track objects with sensors. This application describes a self-propelled autonomous platform and methods for carrying a pedestrian, cyclist or vehicular type target in a predetermined pattern during one or more testing runs. The self-propelled autonomous platform includes a sensor configured to retract within a platform housing of the self-propelled autonomous platform when being driven over during a test run.

A method for computing a quality location estimate of a delivery robot by creating an ad-hoc network that can include one or more autonomous delivery vehicles, nearby infrastructure such as 5.sup.th Generation signal transceivers, vehicle-to-infrastructure (V2I) enabled autonomous vehicles, and millimeter-wave device components in Line-Of-Sight (LOS) with any of the above communicating devices. The method can include estimating the quality for localization (e.g., dilution of precision), and steering the robot delivery vehicle via a vehicle-to-anything (V2X) antenna disposed on the robot delivery vehicle and/or repositioning the autonomous delivery vehicle itself to obtain maximum positioning accuracy. The location estimates computed by the vehicle are sent to the delivery robot which then fuses these estimates with its onboard sensor values. The method may assist localization based on a 2D occupancy map to enhance the positioning performance and provides robust localization mechanism without expensive 3D sensors.

An intelligent vehicle charging system for charging a fleet of autonomous vehicles throughout a network of charging stations dispersed throughout a geographic area. The intelligent vehicle charging system includes a remote control system that is in operative communication with each of the autonomous vehicles in the fleet and each of the charging stations in the network. When an autonomous vehicle is in need of a power charge, or as directed by the remote control system, the remote control system will identify an available charging station, guide the autonomous vehicle to the charging station, verify that the autonomous vehicle has arrived at the charging station, initiate the power charging process, account and bill appropriate fees for the charging process, and log all associated activity. The remote control system is also capable of remotely and instantaneously terminating the power charging process to dynamically return a vehicle back to service.

The present disclosure provides a conveyance system and the like capable of preferably conveying a conveyed object in accordance with a state of the conveyed object. The conveyance system includes a conveyance robot, a drive controller, which is a controller, an image data acquisition unit, and a setting unit. The conveyance robot conveys the conveyed object. The drive controller controls an operation of the conveyance robot. The image data acquisition unit acquires image data obtained by capturing images of the conveyed object. The setting unit sets an operation parameter of the conveyance robot in the drive controller based on the acquired image data.

The present disclosure relates to systems and methods for aligning navigation information from a plurality of vehicles. In one implementation, at least one processing device may receive first navigational information from a first vehicle and second navigational information from a second vehicle. The first and second navigational information may be associated with a road segment. The processor may divide the first navigational information into at least a first portion and a second portion; divide the second navigational information into at least a first portion and a second portion; align the first portion of the first navigational information with the first portion of the second navigational information; align the second portion of the first navigational information with the second portion of the second navigational information; generate a road model based on the aligned portions; and send the road model to vehicles for use in navigating along the road segment.

A system for the remote care of an item of vegetation used as a potential source of food for an animal, to include at least one of a proximity tag, RFID tag, transponder device, a predetermined machine-readable pattern, and geo-location device associated with the item of vegetation, and an aerial drone. The aerial drone includes a microprocessor, a sensor coupled to the microprocessor and configured to detect the at least one of the proximity tag, RFID tag, transponder device, predetermined machine-readable pattern, and the geo-location device, and a carrier configured to carry a substance comprising at least one of a solid, gas, and liquid. The aerial drone is configured to act in response to instructions issued by the microprocessor.

The present disclosure discloses an electric mobile apparatus, a charging station and a method for controlling an electric mobile apparatus. The An electric mobile apparatus includes an apparatus body; a first sensing module arranged on the apparatus body for sensing an electromagnetic signal transmitted from a positioning coil and outputting a first electromagnetic sensing signal; a second sensing module arranged on the apparatus body for sensing the electromagnetic signal transmitted from the positioning coil and outputting a second electromagnetic sensing signal; and a control module connected to the first sensing module and the second sensing module respectively for determining a relative position between the apparatus body and the positioning coil based on the first electromagnetic sensing signal and the second electromagnetic sensing signal, and controlling the apparatus body to move based on the relative position until the apparatus body moves to a target position.

Provided are methods and systems for establishing a line-of-sight (LoS) communications link between a first vehicle and one or more second vehicles. The LoS communications link can include a Li-Fi communications link, visible light communications (VLC) link, or other light-based communications link. LoS communications can be used to create and control caravans of vehicles.

A calibration device (500, 1000) for calibrating a floor surfacing system (200), the calibration device comprising at least four infrared sources (510, 520, 530, 540) arranged separated from each other on a structural member (501) according to a known geometrical configuration, where three of the infrared sources (510, 530, 540) are located in a common plane and where a fourth infrared source (520) is located distanced from the common plane along a normal vector to the common plane, wherein the calibration device (500, 1000) is arranged to be positioned at one or more locations around a perimeter of the surface to be processed in view from an nfrared vision sensor (210), whereby the infrared vision sensor may obtain images of the calibration device at the one or more locations.

Provided is a method for controlling a robot cleaner including a first operation of identifying that a manual cleaner and the robot cleaner are turned on, a second operation of identifying, by the robot cleaner, a location of the manual cleaner, a third operation of moving, by the robot cleaner, to a location within a first set distance from the manual cleaner, and a fourth operation of stopping the movement of the robot cleaner when the robot cleaner is located at the location within the first set distance from the manual cleaner while the manual cleaner is moving, and performing, by the robot cleaner, cleaning while moving when the robot cleaner is located at a location within a second set distance from the manual cleaner.