Systems and methods for using human-operated material-transport vehicles with fleet-management systems
There is provided a driver-support system for use with a human-operated material-transport vehicle, and methods for using the same. The system has at least one sensor, a human-vehicle interface, and a transceiver for communicating with a fleet-management system. The system also has a processor that is configured to provide a mapping application and a localization application based on information received from the sensor. The mapping application and localization application may be provided in a single localization-and-mapping (“SLAM”) application, which may obtain input from the sensor, for example, when the sensor is an optical sensor such as a LiDAR or video camera.
1. A method of using a human-operated material-transport vehicle with a fleet-management system, comprising:
operating a driver-support system, the driver-support system comprising a processor and at least one sensor, the processor operable to:
receive a mission definition from the fleet-management system, wherein the mission definition comprises one or more tasks to be conducted by the human-operated material-transport vehicle;
plan a path based on the mission definition;
display the path via a human-vehicle interface to assist the operator of the human-operated material-transport vehicle to conduct the one or more tasks;
monitor and collect, using at least one of the human-vehicle interface or the at least one sensor, a vehicle-mission information associated with an operation of the human-operated material-transport vehicle by the operator within an industrial facility associated with the fleet-management system; and
transmit the vehicle-mission information to the fleet-management system during the operation by the operator of the human-operated material-transport vehicle; and
during the operation by the operator of the human-operated material-transport vehicle for completing the one or more tasks:
operate the fleet-management system to:
monitor, based on the received vehicle-mission information, a task status of each task of the one or more tasks being conducted by the human-operated material-transport vehicle; and
in response to detecting a change in a task status of at least one task, generate and transmit an updated mission definition to the human-operated material-transport vehicle based on the change in the task status; and
operate the driver-support system to:
in response to receiving the updated mission definition, update the path based on the updated mission definition; and
display the updated path via the human-vehicle interface.
2. The method of claim 1 , wherein the vehicle-mission information comprises at least one of:
one or more user inputs from the operator providing task-related data via the human-vehicle interface; or
at least one of a vehicle location or a vehicle velocity determined from sensor data generated by the at least one sensor.
3. The method of claim 1 , wherein the at least one sensor is mounted to the human-operated material-transport vehicle.
4. The method of claim 1 , wherein the processor is located remotely from the human-operated material-transport vehicle.
5. The method of claim 1 , wherein the processor is configured to provide a mapping application and a localization application.
6. The method of claim 5 , wherein the processor is configured to provide the mapping application and the localization application using a simultaneous localization and mapping (“SLAM”) application.
7. The method of claim 1 , wherein the location is determined based on determined distances between the vehicle and one or more navigational signs or beacons located in the industrial facility, wherein the distances are determined based on the sensor data.
8. The method of claim 1 , wherein the location is determined based on recognizing a position of known objects by the at least one sensor.
9. The method of claim 1 , wherein determining the location based on the vehicle-mission information comprises:
determining a velocity of the vehicle based on the sensor data; and
determining the location using a previously-known location of the vehicle, the velocity of vehicle and the time elapsed since the previously known-location.
10. The method of claim 9 , wherein the location is determined using one or more of dead reckoning and a deduced reckoning technique.
11. A system for using a human-operated material-transport vehicle with a fleet-management system, the system comprising:
the fleet-management system; and
a driver-support system comprising:
at least one sensor;
a human-vehicle interface;
a transceiver for communicating with a fleet-management system; and
a processor operable to communicate with the at least one sensor, the human-vehicle interface and the transceiver, the processor being operable to:
receive a mission definition from the fleet-management system, wherein the mission definition comprises one or more tasks to be conducted by the human-operated material-transport vehicle;
plan a path based on the mission definition;
display the path via the human-vehicle interface to assist the operator of the human-operated material-transport vehicle to conduct the one or more tasks;
monitor and collect, using at least one of the human-vehicle interface or the at least one sensor, a vehicle-mission information associated with an operation of the human-operated material-transport vehicle by the operator within an industrial facility associated with the fleet-management system; and
transmit the vehicle-mission information to the fleet-management system during operation by the operator of the human-operated material-transport vehicle; and
during the operation by the operator of the human-operated material-transport vehicle for completing the one or more tasks,
the fleet-management system being operable to:
monitor, based on the received vehicle-mission information, a task status of each task of the one or more tasks being conducted by the human-operated material-transport vehicle; and
in response to detecting a change in a task status of at least one task, generate and transmit an updated mission definition to the human-operated material-transport vehicle based on the change in the task status; and
the processor of the driver-support system being further operable to:
in response to receiving the updated mission definition, update the path based on the updated mission definition; and
display the updated path via the human-vehicle interface.
12. The system of claim 11 , wherein the vehicle-mission information comprises at least one of:
one or more user inputs from the operator providing a task-related data via the human-vehicle interface; or
at least one of a vehicle location or a vehicle velocity determined from sensor data generated by the at least one sensor.
13. The system of claim 11 , wherein the at least one sensor is mounted to the human-operated material-transport vehicle.
14. The method of claim 11 , wherein the processor is located remotely from the human-operated material-transport vehicle.
15. The system of claim 11 , wherein the processor is configured to provide a mapping application and a localization application.
16. The system of claim 15 , wherein the processor is configured to provide the mapping application and the localization application using a simultaneous localization and mapping (“SLAM”) application.
17. The system of claim 11 , wherein the processor is configured to determine the location based on distances measured by the at least one sensor, between the vehicle and one or more navigational signs or beacons located in the industrial facility.
18. The system of claim 11 , wherein the processor is configured to determine the location based on recognizing a position of known objects by the at least one sensor.
19. The system of claim 11 , wherein determining the location based on the vehicle-mission information comprises:
determining a velocity of the vehicle based on the sensor data; and
determining the location using a previously-known location of the vehicle, the velocity of vehicle and the time elapsed since the previously known-location.
20. The system of claim 19 , wherein the processor is configured to determine the location using one or more of dead reckoning and a deduced reckoning technique.