Tesla, Inc. patent applications on April 18th, 2024

From WikiPatents
Jump to navigation Jump to search

Patent Applications by Tesla, Inc. on April 18th, 2024

Tesla, Inc.: 3 patent applications

Tesla, Inc. has applied for patents in the areas of G01S17/86 (2), G06V20/58 (2), G01S17/89 (2), G01S17/894 (2), G06T7/521 (2)

With keywords such as: sensor, unit, measurements, annotation, vector, computational, image, processor, single, and elements in patent application abstracts.



Patent Applications by Tesla, Inc.

20240125934.ANNOTATION CROSS-LABELING FOR AUTONOMOUS CONTROL SYSTEMS_simplified_abstract_(tesla, inc.)

Inventor(s): Anting Shen of Berkeley CA (US) for tesla, inc.

IPC Code(s): G01S17/86, G01S17/00, G01S17/89, G01S17/894, G06T7/521, G06V10/776, G06V10/80, G06V20/10, G06V20/56



Abstract: an annotation system uses annotations for a first set of sensor measurements from a first sensor to identify annotations for a second set of sensor measurements from a second sensor. the annotation system identifies reference annotations in the first set of sensor measurements that indicates a location of a characteristic object in the two-dimensional space. the annotation system determines a spatial region in the three-dimensional space of the second set of sensor measurements that corresponds to a portion of the scene represented in the annotation of the first set of sensor measurements. the annotation system determines annotations within the spatial region of the second set of sensor measurements that indicates a location of the characteristic object in the three-dimensional space.


20240126547.INSTRUCTION SET ARCHITECTURE FOR A VECTOR COMPUTATIONAL UNIT_simplified_abstract_(tesla, inc.)

Inventor(s): Debjit Das Sarma of San Jose CA (US) for tesla, inc., Emil Talpes of San Mateo CA (US) for tesla, inc., Peter Joseph Bannon of Woodside CA (US) for tesla, inc.

IPC Code(s): G06F9/30, G06F17/16



Abstract: a microprocessor system comprises a vector computational unit and a control unit. the vector computational unit includes a plurality of processing elements. the control unit is configured to provide at least a single processor instruction to the vector computational unit. the single processor instruction specifies a plurality of component instructions to be executed by the vector computational unit in response to the single processor instruction and each of the plurality of processing elements of the vector computational unit is configured to process different data elements in parallel with other processing elements in response to the single processor instruction.


20240127599.ESTIMATING OBJECT PROPERTIES USING VISUAL IMAGE DATA_simplified_abstract_(tesla, inc.)

Inventor(s): James Anthony Musk of San Francisco CA (US) for tesla, inc., Swupnil Kumar Sahai of Saratoga CA (US) for tesla, inc., Ashok Kumar Elluswamy of Sunnyvale CA (US) for tesla, inc.

IPC Code(s): G06V20/58, G06N20/00, G06T7/70, G06V10/80



Abstract: a system is comprised of one or more processors coupled to memory. the one or more processors are configured to receive image data based on an image captured using a camera of a vehicle and to utilize the image data as a basis of an input to a trained machine learning model to at least in part identify a distance of an object from the vehicle. the trained machine learning model has been trained using a training image and a correlated output of an emitting distance sensor.


Tesla, Inc. patent applications on April 18th, 2024