Patents by Inventor Apoorv Singh

Apoorv Singh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250029068
    Abstract: A method to automatically classify emails may include generating multiple entity data objects using entities identified in fields of emails and categorizing the multiple entity data objects into a first set of data objects and a second set of data objects. The method may also include extracting all tokens from each email and searching the extracted tokens for tokens associated with the data objects of the first set of data objects. The method may further include identifying the emails that include the extracted tokens that are associated with the data objects of the first set of data objects, identifying a particular data object of the first set of data objects to which an identified email corresponds, and automatically classifying the identified email in the first category in response to identifying the particular data object of the first set of data objects to which an identified email corresponds.
    Type: Application
    Filed: September 30, 2024
    Publication date: January 23, 2025
    Inventors: Apoorv Agarwal, Ethan Benjamin, Jasneet Singh Sabharwal
  • Publication number: 20240296681
    Abstract: Provided are methods for training and evaluating machine learning networks. The methods can include obtaining ground truth data representing images of an environment of a vehicle. The methods can include determining a first plurality of subsets of the ground truth data. The methods can include mapping the first plurality of subsets to a plurality of sensors. The methods can include determining a second plurality of subsets of the ground truth data by removing at least one selected subset from the first plurality of subsets. The methods can include inputting the second plurality of subsets to at least one machine learning network. The methods can include predicting a surrounding view of the environment using the at least one machine learning network. Vehicles and non-transitory computer-readable storage media are also provided.
    Type: Application
    Filed: April 28, 2023
    Publication date: September 5, 2024
    Inventors: Apoorv Singh, Varun Kumar Reddy Bankiti
  • Publication number: 20240291062
    Abstract: A powder mixture (16) for heat dissipation and a process for forming the powder mixture (16) are disclosed. The powder mixture (16) includes C15H24, a carbonate, an oxide, an oxalate, and two or more materials selected from the group consisting of a chloride and one or more transition metal source. A component having the powder mixture (16) and a process for forming the component are also disclosed. The process for forming the component includes arranging a plurality of cells (12) of the component in an arrangement and filling a powder mixture (16) in interstitial gaps between the cells. The disclosed powder mixture (16) is tested to be very efficient, providing passive cooling, and allowing compact construction of the components. Simple processing of the powder mixture (16) enables an easy implementation of the battery modules in various systems.
    Type: Application
    Filed: July 19, 2021
    Publication date: August 29, 2024
    Applicant: VAZIRANI ENERGY PRIVATE LIMITED
    Inventors: Chandan VAZIRANI, Apoorv SINGH, Atharva Suyog KULKARNI, Vaibhav MITTAL
  • Publication number: 20240262386
    Abstract: Provided are methods for image depth estimation, which can include obtaining image associated with a scene of an autonomous vehicle, determining a first estimated depth for a plurality of points in the image, and generating a plurality of groups of points based on the first estimated depth for the plurality of points. Some methods described also include determining a second estimated depth for at least one point using a range specific depth estimation head, determining at least one object classification for the at least one point, and causing the autonomous vehicle to be navigated based on the second estimated depth for the at least one point and the at least one object classification for the at least one point. Systems and computer program products are also provided.
    Type: Application
    Filed: February 2, 2023
    Publication date: August 8, 2024
    Inventors: Akankshya Kar, Apoorv Singh, Varun Kumar Reddy Bankiti
  • Patent number: 12056935
    Abstract: Enclosed are embodiments of an ML-based framework for drivable surface annotation. In an embodiment, a method comprises: obtaining, using at least one processor, multimodal map data for a geographic region; and automatically annotating, using the at least one processor, one or more semantic masks of the map data using a machine learning model.
    Type: Grant
    Filed: June 9, 2022
    Date of Patent: August 6, 2024
    Assignee: Motional AD LLC
    Inventors: Sergi Adipraja Widjaja, Venice Erin Baylon Liong, Zhuang Jie Chong, Apoorv Singh
  • Publication number: 20240127597
    Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and feature maps corresponding to the received images. The perception system may generate scene dependent object queries. The perception system may use the generate scene dependent object queries to generate one or more bounding boxes for objects in the vehicle scene.
    Type: Application
    Filed: May 19, 2023
    Publication date: April 18, 2024
    Inventors: Apoorv Singh, Varun Kumar Reddy Bankiti
  • Publication number: 20240125617
    Abstract: Provided are methods and systems for aggregating data associated with various geographic areas for trajectory determination and high definition map generation. The methods and systems may include obtaining first data associated with a first area that is external to a vehicle, converting the first data associated with the first area from a first format to a second format, transmitting the first data that is converted and a query associated with a second area, receiving second data specific to the second area responsive to the query, aggregating the second data specific to the second area with the first data, determining, using the at least one processor, a trajectory of the vehicle within a physical space based on the aggregating of the second data with the first data, and/or generating a graphical representation for use by a display of the vehicle based on the second data that is aggregated with the first data.
    Type: Application
    Filed: December 30, 2022
    Publication date: April 18, 2024
    Inventors: Apoorv Singh, Varun Kumar Reddy Bankiti, Jeongil Ju, Akankshya Kar
  • Publication number: 20240127596
    Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and feature maps corresponding to the received images. The perception system may generate scene dependent radar-based object queries. The perception system may use the generated scene dependent radar-based object queries and scene independent object queries to generate one or more bounding boxes for objects in the vehicle scene.
    Type: Application
    Filed: May 19, 2023
    Publication date: April 18, 2024
    Inventors: Apoorv Singh, Varun Kumar Reddy Bankiti
  • Publication number: 20240062504
    Abstract: A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and generate feature maps corresponding to the received images. The perception system may generate object queries based on the feature maps and enrich the object queries. The perception system may use the enriched object queries to generate one or more bounding boxes for objects in the vehicle scene.
    Type: Application
    Filed: August 19, 2022
    Publication date: February 22, 2024
    Inventors: Jongwoo Park, Apoorv Singh, Varun Kumar Reddy Bankiti
  • Publication number: 20230016246
    Abstract: Enclosed are embodiments of an ML-based framework for drivable surface annotation. In an embodiment, a method comprises: obtaining, using at least one processor, multimodal map data for a geographic region; and automatically annotating, using the at least one processor, one or more semantic masks of the map data using a machine learning model.
    Type: Application
    Filed: June 9, 2022
    Publication date: January 19, 2023
    Inventors: Sergi Adipraja Widjaja, Venice Erin Baylon Liong, Zhuang Jie Chong, Apoorv Singh
  • Patent number: 11367289
    Abstract: Enclosed are embodiments of an ML-based framework for drivable surface annotation. In an embodiment, a method comprises: obtaining, using at least one processor, multimodal map data for a geographic region; and automatically annotating, using the at least one processor, one or more semantic masks of the map data using a machine learning model.
    Type: Grant
    Filed: July 16, 2021
    Date of Patent: June 21, 2022
    Assignee: Motional AD LLC
    Inventors: Sergi Adipraja Widjaja, Venice Erin Baylon Liong, Zhuang Jie Chong, Apoorv Singh