US 11,869,103 B2
Distributed weight measurement using integrated load cells
Ian Andreas Villa, San Francisco, CA (US); and Philipp Haban, San Francisco, CA (US)
Assigned to JOBY AERO, INC., Santa Cruz, CA (US)
Filed by Joby Aero, Inc., Santa Cruz, CA (US)
Filed on Jun. 22, 2022, as Appl. No. 17/846,834.
Application 17/846,834 is a continuation of application No. 16/898,076, filed on Jun. 10, 2020, granted, now 11,410,252.
Claims priority of provisional application 62/859,469, filed on Jun. 10, 2019.
Prior Publication US 2022/0392003 A1, Dec. 8, 2022
Int. Cl. B64D 45/00 (2006.01); G06Q 10/0631 (2023.01); G06Q 50/14 (2012.01); B64C 29/00 (2006.01); G01G 19/12 (2006.01); G06Q 10/02 (2012.01); G06Q 50/28 (2012.01); G06Q 50/30 (2012.01)
CPC G06Q 50/14 (2013.01) [B64C 29/00 (2013.01); B64D 45/00 (2013.01); G01G 19/12 (2013.01); G06Q 10/02 (2013.01); G06Q 10/06312 (2013.01); G06Q 50/28 (2013.01); G06Q 50/30 (2013.01); B64D 2045/007 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for planning a multimodal itinerary, the method comprising:
accessing, by one or more processors, request data representing a transportation request, the transportation request including identifier data associated with a passenger, starting location data, and final destination data;
computing, by the one or more processors, based on the request data, itinerary data representing a multimodal itinerary with multiple legs of transportation;
assigning, by the one or more processors, within the itinerary data, an aerial vehicle to a specific leg of the multimodal itinerary;
assigning, by the one or more processors, within the itinerary data, the passenger to a seat of the aerial vehicle, the seat being capable of operating in a first or second mode, the first mode corresponding to a weighted attachment being attached to the seat and the second mode corresponding to no weighted attachment being attached to the seat;
accessing, by the one or more processors, payload data representing an estimated weight of a payload associated with the identifier data and target load data associated with a target payload for the seat;
receiving, by the one or more processors, an actual weight of the payload as determined by a weight sensor;
verifying, by the one or more processors, that the actual weight of the payload is consistent with the estimated weight of the payload;
selecting, by the one or more processors, either the first or second mode of the seat based at least partly on comparing the payload data and the target load data, the first mode being selected in response to the weight of the payload being within the target payload or the second mode being selected in response to the weight of the payload combined with the weighted attachment being within the target payload; and
causing, by the one or more processors, the seat to be adjusted in accordance with the selected first or second mode for the specific leg of the multimodal itinerary.