Methods for interacting with autonomous or semi-autonomous vehicle

• US 10,328,769 B2
• Filed: 07/27/2018
• Issued: 06/25/2019
• Est. Priority Date: 07/28/2017
• Status: Active Grant

• Current Assignee: Nuro, Inc.
• Original Assignee: Nuro, Inc.
• Inventors: Ferguson, David, Zhu, Jiajun, Ransohoff, Nan
• Primary Examiner(s): Ismail, Mahmoud S
• Application Number:
  US16/048,124
• Publication Number:
  US 20190033856A1
• Time in Patent Office: 333 Days
• Field of Search: 701 23, 701 22
• CPC Class Codes: A23L 2/52 Adding ingredients adding preservatives A23L2/44
• CPC Class Codes: A23L 5/00 Preparation or treatment of foods or foodstuffs, in general; Food or foodstuffs obtained thereby; Materials therefor
• CPC Class Codes: A23L 7/109 Types of pasta, e.g. macaroni or noodles
• CPC Class Codes: A23V 2002/00 Food compositions, function of food ingredients or processes for food or foodstuffs
• CPC Class Codes: A47J 37/0658 specially adapted for cooking pizza
• CPC Class Codes: A47J 47/00 Kitchen containers, stands or the like, not provided for in other groups of this subclass; Cutting-boards, e.g. for bread bowls for food processors A47J43/0727
• CPC Class Codes: B60H 1/00364 for caravans or trailers
• CPC Class Codes: B60H 1/00735 Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
• CPC Class Codes: B60P 1/36 using endless chains or belts thereon
• CPC Class Codes: B60P 3/007 for delivery of small articles, e.g. milk, frozen articles
• CPC Class Codes: B60P 3/0257 the object being a vending stall, restaurant or food kiosk
• CPC Class Codes: B60R 19/18 characterised by the cross-section; Means within the bumper to absorb impact
• CPC Class Codes: B60R 19/483 with obstacle sensors of electric or electronic type
• CPC Class Codes: B60R 2021/346 means outside vehicle body
• CPC Class Codes: B60R 21/34 Protecting non-occupants of a vehicle, e.g. pedestrians B60R19/02 takes precedence
• CPC Class Codes: B60R 21/36 using airbags
• CPC Class Codes: B60R 25/25 using biometry
• CPC Class Codes: B60R 25/252 Fingerprint recognition
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 2420/408 Radar; Laser, e.g. lidar
• CPC Class Codes: B60W 2420/54 : Audio sensitive means, e.g. ultrasound
• CPC Class Codes: B60W 2555/20 : Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2556/40 : High definition maps
• CPC Class Codes: B60W 60/00256 : Delivery operations
• CPC Class Codes: B64U 2101/64 : for parcel delivery or retrieval
• CPC Class Codes: B64U 2201/10 : autonomous, i.e. by navigating independently from ground or air stations, e.g. by using inertial navigation systems [INS]
• CPC Class Codes: B65G 2209/06 : Use of order trucks
• CPC Class Codes: B65G 67/24 : Unloading land vehicles
• CPC Class Codes: G01C 21/20 : Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: G01C 21/343 : Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips travelling salesman problem G06Q10/04; optimisation of routes G06Q10/047
• CPC Class Codes: G01C 21/3438 : Rendez-vous, i.e. searching a destination where several users can meet, and the routes to this destination for these users; Ride sharing, i.e. searching a route such that at least two users can share a vehicle for at least part of the route
• CPC Class Codes: G01C 21/3453 : Special cost functions, i.e. other than distance or default speed limit of road segments
• CPC Class Codes: G05D 1/0027 : involving a plurality of vehicles, e.g. fleet or convoy travelling fleet control of land vehicles from a control room G05D1/0297; traffic control systems for road vehicles G08G1/00; for marine craft G08G3/00; for aircraft G08G5/00
• CPC Class Codes: G05D 1/0033 : by having the operator tracking the vehicle either by direct line of sight or via one or more cameras located remotely from the vehicle
• CPC Class Codes: G05D 1/0038 : by providing the operator with simple or augmented images from one or more cameras located onboard the vehicle, e.g. tele-operation images analyzed by a computer and used for automatic navigation G05D1/0246
• CPC Class Codes: G05D 1/0061 : for transition from automatic pilot to manual pilot and vice versa
• CPC Class Codes: G05D 1/0088 : characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00
• CPC Class Codes: G05D 1/0094 : involving pointing a payload, e.g. camera, weapon, sensor, towards a fixed or moving target
• CPC Class Codes: G05D 1/0212 : with means for defining a desired trajectory involving a plurality of land vehicles G05D1/0287
• CPC Class Codes: G05D 1/0214 : in accordance with safety or protection criteria, e.g. avoiding hazardous areas monitoring the location of vehicles within a certain area, e.g. forbidden or allowed areas, in traffic control systems for road vehicles G08G1/13
• CPC Class Codes: G05D 1/0223 : involving speed control of the vehicle vehicle fittings for automatically controlling, i.e. preventing speed from exceeding an arbitrarily established velocity or maintaining speed at a particular velocity, as selected by the vehicle operator B60K31/00
• CPC Class Codes: G05D 1/0231 : using optical position detecting means position-fixing by using electromagnetic waves other than radio waves, e.g. optical position detecting means G01S5/16
• CPC Class Codes: G05D 1/0276 : using signals provided by a source external to the vehicle involving a plurality of vehicles G05D1/0287; automatically controlling vehicle speed responsive to externally generated signals B60K31/0058
• CPC Class Codes: G05D 1/0291 : Fleet control monitoring fleets in traffic control systems for road vehicles G08G1/127, G08G1/127
• CPC Class Codes: G05D 1/0295 : by at least one leading vehicle of the fleet
• CPC Class Codes: G05D 1/0297 : by controlling means in a control room
• CPC Class Codes: G05D 1/12 : Target-seeking control
• CPC Class Codes: G06F 16/955 : using information identifiers, e.g. uniform resource locators [URL]
• CPC Class Codes: G06F 3/017 : Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/0484 : for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• CPC Class Codes: G06K 19/06028 : using bar codes
• CPC Class Codes: G06K 19/0723 : the record carrier comprising an arrangement for non-contact communication, e.g. wireless communication circuits on transponder cards, non-contact smart cards or RFIDs
• CPC Class Codes: G06K 7/10297 : arrangements for handling protocols designed for non-contact record carriers such as RFIDs NFCs, e.g. ISO/IEC 14443 and 18092 cryptographic protocols H04L9/00; network security protocols H04L63/00; real-time communication protocols in data switching networks H04L65/00; network protocols for data switching network services H04L67/00
• CPC Class Codes: G06K 7/10722 : Photodetector array or CCD scanning
• CPC Class Codes: G06K 7/1413 : 1D bar codes
• CPC Class Codes: G06N 20/00 : Machine learning
• CPC Class Codes: G06Q 10/00 : Administration; Management
• CPC Class Codes: G06Q 10/0631 : Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/06315 : Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/0635 : Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/08 : Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 10/083 : Shipping
• CPC Class Codes: G06Q 10/0832 : Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
• CPC Class Codes: G06Q 10/0833 : Tracking
• CPC Class Codes: G06Q 10/0834 : Choice of carriers
• CPC Class Codes: G06Q 10/0835 : Relationships between shipper or supplier and carriers
• CPC Class Codes: G06Q 10/08355 : Routing methods
• CPC Class Codes: G06Q 10/0837 : Return transactions
• CPC Class Codes: G06Q 20/00 : Payment architectures, schemes or protocols apparatus for performing or posting payment transactions G07F7/08, G07F19/00; electronic cash registers G07G1/12
• CPC Class Codes: G06Q 20/127 : Shopping or accessing services according to a time-limitation
• CPC Class Codes: G06Q 20/18 : involving self-service terminals [SST], vending machines, kiosks or multimedia terminals
• CPC Class Codes: G06Q 30/0265 : Vehicular advertisement
• CPC Class Codes: G06Q 30/0266 : based on the position of the vehicle
• CPC Class Codes: G06Q 30/0631 : Item recommendations
• CPC Class Codes: G06Q 30/0645 : Rental transactions; Leasing transactions
• CPC Class Codes: G06Q 50/12 : Hotels or restaurants
• CPC Class Codes: G06Q 50/40 : Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G06V 20/56 : exterior to a vehicle by using sensors mounted on the vehicle
• CPC Class Codes: G06V 20/64 : Three-dimensional objects
• CPC Class Codes: G07C 2009/0092 : for cargo, freight or shipping containers and applications therefore in general
• CPC Class Codes: G07C 2209/63 : Comprising locating means for detecting the position of the data carrier, i.e. within the vehicle or within a certain distance from the vehicle
• CPC Class Codes: G07C 5/02 : Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00
• CPC Class Codes: G07C 5/08 : Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• CPC Class Codes: G07C 9/00563 : using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
• CPC Class Codes: G07C 9/00571 : operated by interacting with a central unit
• CPC Class Codes: G07C 9/00896 : specially adapted for particular uses
• CPC Class Codes: G07C 9/28 : the pass enabling tracking or indicating presence
• CPC Class Codes: G07F 17/0057 : for the hiring or rent of vehicles, e.g. cars, bicycles or wheelchairs car rental G07B15/00
• CPC Class Codes: G07F 17/12 : comprising lockable containers, e.g. for accepting clothes to be cleaned
• CPC Class Codes: G08G 1/04 : using optical or ultrasonic detectors
• CPC Class Codes: G08G 1/202 : Dispatching vehicles on the basis of a location, e.g. taxi dispatching
• CPC Class Codes: G08G 1/22 : Platooning, i.e. convoy of communicating vehicles
• CPC Class Codes: H04L 67/12 : specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04N 5/76 : Television signal recording
• CPC Class Codes: H04W 4/024 : Guidance services
• CPC Class Codes: H04W 4/40 : for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H05B 6/688 : for thawing

Abstract

Provided herein is a system for precise delivery of an item to a consumer by an autonomous or semi-autonomous vehicle. The system performs image recognition algorithms to detect a primary entrance, navigate from a street address to the primary entrance, and to validate the customer upon delivery.

Claims

1. A system for direct fulfillment of an order to a customer, the system comprising:

a) an autonomous or semi-autonomous vehicle comprising;

(i) a compartment having a compartment door, wherein the compartment is configured to secure an item associated with the order;

(ii) a compartment actuator configured to open and close the compartment door;

(iii) an autonomous or semi-autonomous propulsion system; and

(iv) one or more sensors configured to measure;

i) a specific area data corresponding to a customer address associated with the order; and

ii) a compartment status of the compartment, wherein the compartment status comprises at least one of an opened compartment status, a closed compartment status, an object blocking compartment status, a customer blocking compartment status, and an unblocked compartment status; and

b) the system further comprising a processor configured to provide a fulfillment application comprising;

(i) a communication module receiving at least one of the specific area data and the compartment status;

(ii) a navigation module directing the autonomous or semi-autonomous propulsion system of the autonomous or semi-autonomous vehicle to the customer address; and

(iii) a compartment door control module selecting and implementing a compartment door instruction, wherein the compartment door instruction comprises an open compartment door instruction or a close compartment door instruction based on the compartment status, the compartment door control module further selecting and implementing a pause compartment door instruction for a set waiting period if the compartment status comprises the blocked compartment status, the compartment door control module further selecting and implementing the pause compartment door instruction if the compartment status comprises the blocked compartment status while the compartment door is being closed, and the compartment door control module further selecting and implementing the close compartment door instruction once the compartment status comprises the unblocked compartment status; and

c) a mobile processor associated with the customer and configured to provide a customer application.

2. The system of claim 1, wherein the fulfillment application further comprises a direct delivery module applying an object recognition algorithm to determine a primary entrance location based on the specific area data, and wherein the navigation module further directing the autonomous or semi-autonomous propulsion system of the autonomous or semi-autonomous vehicle from the customer address to the primary entrance location.

3. The system of claim 1, wherein the one or more sensors comprise a RADAR, a LiDAR, a camera, a video camera, a proximity sensor, a contact sensor, a light sensor, an infrared sensor, a switch, or any combination thereof.

4. The system of claim 1, wherein the specific area data comprises a three-dimensional spatial data.

5. The system of claim 2, wherein the primary entrance location comprises at least one of a door, an entranceway, a pathway, a garage door, a gate, an atrium, a foyer, a gateway, and a driveway.

6. The system of claim 2, wherein the customer application comprises a primary entrance selection module receiving the primary entrance location from the customer, wherein the customer submits the primary entrance location to the primary entrance selection module by selecting a pinpoint location on a map, and wherein the fulfillment application further comprises a customer preference database module storing the pinpoint location.

7. The system of claim 6, wherein the map comprises a satellite image map.

8. The system of claim 1, wherein the fulfillment application further comprises a photo module receiving an image of the customer, wherein the one or more sensors are further configured to measure a facial feature of the order recipient, and wherein the communication module further receives the facial feature, wherein the fulfillment application further comprises a facial recognition module applying a facial recognition algorithm to the facial feature of the order recipient and the image of the customer to confirm that the order recipient corresponds to the customer, wherein the compartment door control module selects and implements the compartment door instruction based on the confirmation, and wherein the customer application comprises a customer image input module capturing the image of the customer, transmitting the image of the customer to the photo module, and saving the image of the customer.

9. The system of claim 8, wherein the image of the customer comprises a photograph of the customer, a photograph of an identification card associated with the customer, or both.

10. The system of claim 1, wherein the fulfillment application further comprises a live identification card authentication module capturing a live image of an identification card of the order recipient, applying an identification card and text recognition algorithm to confirm that the identification card of the order recipient corresponds to the customer.

11. The system of claim 1, wherein the communication module further receives an access authentication, and wherein the compartment door control module further or alternatively directs the compartment actuator to open the compartment door based on the access authentication.

12. The system of claim 11, wherein the autonomous or semi-autonomous vehicle further comprises a customer interface configured to receive a passcode and transmit the access authentication to the communication module based on the passcode.

13. The system of claim 12, wherein the fulfillment application further comprises a passcode module generating the passcode, submitting the passcode to the customer, and authenticating the received password.

14. The system of claim 1, wherein the customer application comprises a compartment activation module receiving a compartment activation request from the customer, an administrator, or both to open or close the compartment door, and transmitting the compartment activation request to the compartment door control module based on the compartment activation request.

15. The system of claim 14, wherein the compartment activation module further receives a current location of the customer and a current location of the vehicle, and wherein the compartment door control module directs the compartment actuator to open the compartment door based on the compartment activation request only when the current location of the customer is within a set proximity distance from the current location of the vehicle.

16. The system of claim 1, wherein each vehicle further comprises a vehicle identification module configured to direct a vehicle indicator aboard the vehicle to emit a vehicle identification media, wherein the fulfillment application further comprises an indicator activation module transmitting an indicator activation instruction to the vehicle identification module, and wherein the indicator activation instruction comprises an identification pattern, wherein the identification pattern is associated with the order, the customer, the vehicle, or any combination thereof, wherein the vehicle identification media comprises the identification pattern, and wherein the customer application comprises an identification pattern display module receiving the identification pattern and displaying the identification pattern to the customer.

17. The system of claim 16, wherein the vehicle indicator comprises a light, a display screen, a speaker, a car horn, or any combination thereof.

18. The system of claim 16, wherein the indicator activation module transmits the indicator initiation instruction to the vehicle indicator when the autonomous or semi-autonomous vehicle is within a set indication distance from the customer address.

19. The system of claim 1, wherein the customer application comprises an indicator activation module receiving an indicator activation request from the customer and transmitting the indicator activation request to the indicator activation module, wherein the indicator instruction further comprises the indicator activation request.

20. The system of claim 1, wherein the customer application comprises a current vehicle position indication module displaying a current position of the vehicle, an estimated time of arrival, or both to the customer, and wherein the current vehicle position indication module only displays the current position of the vehicle when the current position is within a set position display distance from the customer address or within a set position display time from the customer address.

21. The system of claim 1, wherein the compartment status further comprises an absent customer status, and wherein the compartment door control module selects and implements the close compartment door instruction when the compartment status comprises the absent customer status, and wherein the compartment door control module select and implements the close compartment door instruction when the compartment status comprises the absent customer status for a set period of absence.

22. The system of claim 2, wherein the compartment door control module only opens the compartment door when the vehicle is at a complete stop, arrives at the customer address or the primary entrance location, or both.

23. The system of claim 1, wherein the compartment door control module further receives an administrator control command from an administrator, and wherein the compartment door control module further directs the compartment actuator to close the compartment door, open the compartment door, or both based on the administrator control command.

24. The system of claim 1, wherein the autonomous or semi-autonomous vehicle further comprises a compartment interface configured to receive the compartment door instruction, confirm the compartment door instruction, or both.

25. The system of claim 24, wherein the compartment interface comprises a button, a Wi-Fi device, a Bluetooth device, a camera, a cellular device, a satellite device, or any combination thereof, wherein the compartment interface is configured to receive the compartment door instruction from an administrator, the customer, or both, and wherein the compartment interface is further configured to send the compartment status to the compartment door control module based on the compartment door instruction.

26. The system of claim 24, wherein the customer application comprises a compartment door module configured to receive the compartment door instruction and transmit the compartment door instruction to the compartment interface.

27. The system of claim 1, wherein the compartment further comprises an item removal sensor configured to detect removal of the item from the compartment.

28. The system of claim 2, wherein the object recognition algorithm comprises a machine learning algorithm, a rule-based algorithm, or both.

29. The system of claim 8, wherein the facial recognition algorithm comprises a machine learning algorithm, a rule-based algorithm, or both.

55. The system of claim 1, wherein the compartment further comprises an item removal sensor configured to detect removal of the item from the compartment.

30. A system for direct fulfillment of an order to a customer, the system comprising:

a) an autonomous or semi-autonomous vehicle comprising;

(i) a compartment having a compartment door, wherein the compartment is configured to secure an item associated with the order;

(ii) a compartment actuator configured to open and close the compartment door;

(iii) an autonomous or semi-autonomous propulsion system; and

(iv) one or more sensors configured to measure;

i) a specific area data corresponding to a customer address associated with the order; and

ii) a compartment status of the compartment, wherein the compartment status comprises at least one of an opened compartment status, a closed compartment status, an object blocking compartment status, a customer blocking compartment status, and an unblocked compartment status, and wherein the compartment status further comprises an absent customer status; and

b) a processor configured to provide a fulfillment application comprising;

(i) a communication module receiving at least one of the specific area data and the compartment status;

(ii) a navigation module directing the autonomous or semi-autonomous propulsion system of the autonomous or semi-autonomous vehicle to the customer address; and

(iii) a compartment door control module selecting and implementing a compartment door instruction, wherein the compartment door instruction comprises an open compartment door instruction or a close compartment door instruction based on the compartment status, the compartment door control module further selecting and implementing the close compartment door instructions when the compartment status comprises the absent customer status, and the compartment door control module further selecting and implementing the close compartment door instruction when the compartment status comprises the absent customer status for a set period of absence; and

c) a mobile processor associated with the customer and configured to provide a customer application.

31. The system of claim 30, wherein the fulfillment application further comprises a direct delivery module applying an object recognition algorithm to determine a primary entrance location based on the specific area data, and wherein the navigation module further directing the autonomous or semi-autonomous propulsion system of the autonomous or semi-autonomous vehicle from the customer address to the primary entrance location.

32. The system of claim 30, wherein the one or more sensors comprise a RADAR, a LiDAR, a camera, a video camera, a proximity sensor, a contact sensor, a light sensor, an infrared sensor, a switch, or any combination thereof.

33. The system of claim 30, wherein the specific area data comprises a three-dimensional spatial data.

34. The system of claim 31, wherein the primary entrance location comprises at least one of a door, an entranceway, a pathway, a garage door, a gate, an atrium, a foyer, a gateway, and a driveway.

35. The system of claim 31, wherein the customer application further comprises a primary entrance selection module receiving the primary entrance location from the customer, wherein the customer submits the primary entrance location to the primary entrance selection module by selecting a pinpoint location on a map, and wherein the fulfillment application further comprises a customer preference database module storing the pinpoint location.

36. The system of claim 35, wherein the map comprises a satellite image map.

37. The system of claim 30, wherein the fulfillment application further comprises a photo module receiving an image of the customer, wherein the one or more sensors are further configured to measure a facial feature of the order recipient, and wherein the communication module further receives the facial feature, wherein the fulfillment application further comprises a facial recognition module applying a facial recognition algorithm to the facial feature of the order recipient and the image of the customer to confirm that the order recipient corresponds to the customer, wherein the compartment door control module selects and implements the compartment door instruction based on the confirmation, and wherein the customer application comprises a customer image input module capturing the image of the customer, transmitting the image of the customer to the photo module, and saving the image of the customer.

38. The system of claim 37, wherein the image of the customer comprises a photograph of the customer, a photograph of an identification card associated with the customer, or both.

39. The system of claim 30, wherein the fulfillment application further comprises a live identification card authentication module capturing a live image of an identification card of the order recipient, applying an identification card and text recognition algorithm to confirm that the identification card of the order recipient corresponds to the customer.

40. The system of claim 30, wherein the communication module further receives an access authentication, and wherein the compartment door control module further or alternatively directs the compartment actuator to open the compartment door based on the access authentication.

41. The system of claim 40, wherein the autonomous or semi-autonomous vehicle further comprises a customer interface configured to receive a passcode and transmit the access authentication to the communication module based on the passcode.

42. The system of claim 41, wherein the fulfillment application further comprises a passcode module generating the passcode, submitting the passcode to the customer, and authenticating the received password.

43. The system of claim 30, wherein the customer application comprises a compartment activation module receiving a compartment activation request from the customer, an administrator, or both to open or close the compartment door, and transmitting the compartment activation request to the compartment door control module based on the compartment activation request.

44. The system of claim 43, wherein the compartment activation module further receives a current location of the customer and a current location of the vehicle, and wherein the compartment door control module directs the compartment actuator to open the compartment door based on the compartment activation request only when the current location of the customer is within a set proximity distance from the current location of the vehicle.

45. The system of claim 30, wherein each vehicle further comprises a vehicle identification module configured to direct a vehicle indicator aboard the vehicle to emit a vehicle identification media, wherein the fulfillment application further comprises an indicator activation module transmitting an indicator activation instruction to the vehicle identification module, and wherein the indicator activation instruction comprises an identification pattern, wherein the identification pattern is associated with the order, the customer, the vehicle, or any combination thereof, wherein the vehicle identification media comprises the identification pattern, and wherein the customer application comprises an identification pattern display module receiving the identification pattern and displaying the identification pattern to the customer.

46. The system of claim 45, wherein the vehicle indicator comprises a light, a display screen, a speaker, a car horn, or any combination thereof.

47. The system of claim 45, wherein the indicator activation module transmits the indicator initiation instruction to the vehicle indicator when the autonomous or semi-autonomous vehicle is within a set indication distance from the customer address.

48. The system of claim 30, wherein the customer application comprises an indicator activation module receiving an indicator activation request from the customer and transmitting the indicator activation request to the indicator activation module, wherein the indicator instruction further comprises the indicator activation request.

49. The system of claim 30, wherein the customer application comprises a current vehicle position indication module displaying a current position of the vehicle, an estimated time of arrival, or both to the customer, and wherein the current vehicle position indication module only displays the current position of the vehicle when the current position is within a set position display distance from the customer address or within a set position display time from the customer address.

50. The system of claim 31, wherein the compartment door control module only opens the compartment door when the vehicle is at a complete stop, arrives at the customer address or the primary entrance location, or both.

51. The system of claim 30, wherein the compartment door control module further receives an administrator control command from an administrator, and wherein the compartment door control module further directs the compartment actuator to close the compartment door, open the compartment door, or both based on the administrator control command.

52. The system of claim 30, wherein the autonomous or semi-autonomous vehicle further comprises a compartment interface configured to receive the compartment door instruction, confirm the compartment door instruction, or both.

53. The system of claim 52, wherein the compartment interface comprises a button, a Wi-Fi device, a Bluetooth device, a camera, a cellular device, a satellite device, or any combination thereof, wherein the compartment interface is configured to receive the compartment door instruction from an administrator, the customer, or both, and wherein the compartment interface is further configured to send the compartment status to the compartment door control module based on the compartment door instruction.

54. The system of claim 52, wherein the customer application comprises a compartment door module configured to receive the compartment door instruction and transmit the compartment door instruction to the compartment interface.

56. The system of claim 31, wherein the object recognition algorithm comprises a machine learning algorithm, a rule-based algorithm, or both.

57. The system of claim 37, wherein the facial recognition algorithm comprises a machine learning algorithm, a rule-based algorithm, or both.