G05D1/0285

Mobile inventory transport unit and autonomous operation of mobile inventory transportation unit networks
11520337 · 2022-12-06 · ·

Systems, methods, computing platforms, and storage media for transporting a mobile inventory transportation unit (MITU) in a communication network are disclosed. Exemplary implementations may include the mobile inventory transportation communication network comprising the MITU, a transportation system, a first and a second central system, in communication with each other, the MITU comprising a housing, an inventory storage device, a power device, a drive device, a navigation device, a sensing device, and a control device. The transportation system may be configured to physically receive and transport the MITU from a first point to a second point, the second central system may be configured to determine an inventory demand at a second or more location and transmit inventory request data to the first central system, and the first central system may be configured to schedule the movement of the MITU and control the delivery of the MITU to a final destination.

Electronic apparatus, mobile robot, and method for operating the mobile robot
11592302 · 2023-02-28 · ·

A mobile robot is disclosed. The mobile robot may include a wireless transceiver, a driver, and a processor. The mobile robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and perform communications with other electronic devices in a 5G communication network. Accordingly, user convenience can be significantly improved.

VEHICLE-ROAD DRIVING INTELLIGENCE ALLOCATION

The present invention relates to systems and methods that allocate, arrange, and distribute certain types of functions and intelligence, for connected automated vehicle highway (CAVH) systems, to facilitate vehicle operations and controls, to improve the general safety of the whole transportation system, and to ensure the efficiency, intelligence, reliability, and resilience of CAVH systems. The present invention also provides methods to define CAVH system intelligence and its levels, which are based on two dimensions: the vehicle intelligence and infrastructure intelligence.

Conveyance system, trained model generation method, trained model, control method, and program

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.

Aligning road information for navigation

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.

AUTONOMOUS VEHICLE REFUELING

Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous vehicles may be automatically refueled by routing the vehicles to available fueling stations when not in operation, according to methods described herein. A fuel level within a tank of an autonomous vehicle may be monitored until it reaches a refueling threshold, at which point an on-board computer may generate a predicted use profile for the vehicle. Based upon the predicted use profile, a time and location for the vehicle to refuel the vehicle may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a fueling station, refill a fuel tank, and return to its starting location in order to refuel when not in use.

Systems and methods for driving intelligence allocation between vehicles and highways

The present invention relates to systems and methods that allocate, arrange, and distribute certain types of functions and intelligence, for connected automated vehicle highway (CAVH) systems, to facilitate vehicle operations and controls, to improve the general safety of the whole transportation system, and to ensure the efficiency, intelligence, reliability, and resilience of CAVH systems. The present invention also provides methods to define CAVH system intelligence and its levels, which are based on two dimensions: the vehicle intelligence and infrastructure intelligence.

SYSTEMS AND METHODS FOR AUTONOMOUS ROUTE NAVIGATION
20230093772 · 2023-03-23 ·

Systems and methods for autonomous lane level navigation are disclosed. In one aspect, a control system for an autonomous vehicle includes a processor and a computer-readable memory configured to cause the processor to receive a partial high-definition (HD) map that defines a plurality of lane segments that together represent one or more lanes of a roadway, the partial HD map including at least a current lane segment. The processor is also configured to generate auxiliary global information for each of the lane segments in the partial HD map. The processor is further configured to generate a subgraph including a plurality of possible routes between the current lane segment and the destination lane segment using the partial HD map and the auxiliary global information, select one of the possible routes for navigation based on the auxiliary global information, and generate lane level navigation information based on the selected route.

Integrated platform and common software structural architecture for autonomous agricultural vehicle and machinery operation

An integrated technology platform enables any application of autonomous agricultural equipment operation in an agricultural or other off-road setting, within a common software structural architecture. The platform represents a technology stack that is a modular architecture for multiple use cases and vehicle types. The platform includes a vehicle interface component responsible for the physical interface to agricultural equipment, a telematics component that enables stable in-field communications between all aspects of the integrated technology platform, and a perception component that operates as a safety mechanism and includes object detection and classification. Additionally, a cloud-side application performs account management, field setup and syncing of field equipment and operating systems in a common operating system. The platform also includes an executive control layer that enables rapid porting from one platform to another, so that software applications in the integrated technology platform can work with hardware of any manufacture.

Method and device for operating an automated vehicle

A method and device for operating an automated vehicle. The method includes a step of receiving a position of the automated vehicle, a step of providing a map, as a function of the position, a step of receiving environment data values, which represent an environment of the automated vehicle, as a function of the position, a step of producing an environment model, as a function of the environment, on the basis of the map, and a step of operating the automated vehicle, as a function of the environment model.