Uber Technologies, Inc Patent Portfolio Statistics

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Uber Technologies, Inc.

Profile Summary

This article summarizes the perfomance of the assignee in the recent years. The overall statistics for this portfolio help to analyze the areas where the assignee is performing well. The filing trend, perfomance across the tech centers and the perfomance of the recent applications has been mentioned below. All the stats are calculated based on the perfomance in USPTO.

How does the overall patent portfolio of Uber Technologies, Inc. look like?

Assignee Art Units
Total Applications: 1,745 1,402,851
Granted Patents: 1,168 785,588
Grant Index 86.01% ↑ 76.14%
Abandoned/Rejected Applications: 190 (13.99%) 246,137 (23.86%)
In-Process Applications: 381 371,126
Average Grant Time: 2.63 Years ↓ 2.99 Years
Average Office Actions: 1.57 ↓ 1.79

Which Technology Area Uber Technologies, Inc. is filing most patents in? (Last 10 years)

Art Unit Definition Total Applications
3661 Computerized Vehicle Controls and Navigation, Radio Wave, Optical and Acoustic Wave Communication, Robotics, and Nuclear Systems 144
3663 Computerized Vehicle Controls and Navigation, Radio Wave, Optical and Acoustic Wave Communication, Robotics, and Nuclear Systems 109
Opap Parked GAU 107
3667 Computerized Vehicle Controls and Navigation, Radio Wave, Optical and Acoustic Wave Communication, Robotics, and Nuclear Systems 101
3668 Computerized Vehicle Controls and Navigation, Radio Wave, Optical and Acoustic Wave Communication, Robotics, and Nuclear Systems 69

How many patents are Uber Technologies, Inc. filing every year?

Year Total Applications Predicted
2022 0* 458
2021 74* 539
2020 143 509
2019 228 228
2018 321 –
2017 291 –
2016 144 –
2015 90 –
2014 45 –
2013 37 –

*The drop in the number of applications filed in last two years compared to previous years is because applications can take up to 18 months to get published

Recently filed patent applications of Uber Technologies, Inc. in USPTO?

Publication number: US20210288726A1
Application number: 17/249,389

Abstract:
Systems and methods are provided for receiving a unique identifier for a local transmitter and a signal strength for the local transmitter, determining a position and channel parameters of the local transmitter based on the unique identifier for the local transmitter, converting the signal strength for the local transmitter into a distance measurement using the channel parameters, the distance measurement indicating a distance of a computing device to the position of the local transmitter, and calculating a location of the computing device using the distance measurement and position of the local transmitter.

Publication date: 2021-09-16
Applicant: Uber Technologies, Inc.
Inventors: Depatla Saandeep

Publication number: US20220065647A1
Application number: 17/249,020

Abstract:
Various examples are directed to systems and methods for providing transportation services. A service assignment system may receive a transportation service request from a user. The transportation service request may describe a transportation service having a start location and an end location. The service assignment system may select a first autonomous vehicle (AV) of a first AV type and determine a first predicted route for the first AV using vehicle capability data describing the first AV type and first difference data describing a difference between a previous predicted route for a previous AV of the first AV type and a previous planned route received from the previous AV of the first AV type. The service assignment system may receive, from the first AV, a first planned route for executing the transportation service and instruct the first AV to begin executing the transportation service.

Publication date: 2022-03-03
Applicant: Uber Technologies, Inc.
Inventors: Brent Goldman

Publication number: US20210097559A1
Application number: 16/948,744

Abstract:
Systems and methods for optimizing a pickup location are provided. A network system receives a request for transportation service from a device of a rider, whereby the request includes a requested pickup location. Based on the requested pickup location, the network system determines one or more candidate pickup locations that optimize for the pickup location. The determining the one or more candidate pickup locations includes determining an actual location of the rider, accessing index scores associated with the actual location, identifying dwell point and hotspot candidates based on corresponding index scores, and selecting one or more dwell point and hotspot candidates as the one or more candidate pickup locations. The network system then causes presentation of the one or more candidate pickup locations on a user interface on the device of the rider.

Publication date: 2021-04-01
Applicant: Uber Technologies, Inc.
Inventors: Albada Charles Michael

How are Uber Technologies, Inc.’s applications performing in USPTO?

Application Number Title Status Art Unit Examiner
17/249,389 Location Accuracy Using Local Transmitters Docketed New Case – Ready for Examination 2465 Cosme, Natasha W
17/249,020 Autonomous Vehicle Planned Route Prediction Docketed New Case – Ready for Examination OPAP Central, Docket
16/948,744 Rider Pickup Location Optimization System Response to Non-Final Office Action Entered and Forwarded to Examiner 3624 Koester, Michael Richard
16/874,332 System And Method For Selecting A Path In A Communication Network Response to Non-Final Office Action Entered and Forwarded to Examiner 2476 Chau, Peter P
16/871,931 System For Steering Client Devices With Non-Weak Link In Communication Network And Method Thereof Final Rejection Mailed 2476 Chau, Peter P