Tesla, Inc. patent applications on June 6th, 2024

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Patent Applications by Tesla, Inc. on June 6th, 2024

Tesla, Inc.: 3 patent applications

Tesla, Inc. has applied for patents in the areas of B60L53/302 (2), G05D1/246 (2), B60L53/18 (2), G06T7/62 (2), G06T15/08 (2)

With keywords such as: image, fluid, conductive, based, charging, object, field, view, intelligence, and artificial in patent application abstracts.



Patent Applications by Tesla, Inc.

20240181908.CHARGING SYSTEM WITH COOLING SYSTEM_simplified_abstract_(tesla, inc.)

Inventor(s): Dino Sasaridis of Austin TX (US) for tesla, inc., Mark Westfall of San Francisco CA (US) for tesla, inc., Paul Hogan of Menlo Park CA (US) for tesla, inc., Jacob Homer of Sunnyvale CA (US) for tesla, inc., Jiong Zhang of Cupertino CA (US) for tesla, inc.

IPC Code(s): B60L53/302, B60L53/16, B60L53/18



Abstract: a direct cooling method and system in charging system utilizing a water-based conductive fluid. the charging system includes a conductive fluid reservoir that provides conductive fluid to charging system components. the charging system further defines conductive fluid return paths for the conductive fluid. the length of a fluid path is specified to exceed a minimal resistance threshold based on the product of the resistivity and return path length. the system can include the incorporation of feedback loop into the charging system that can measure the electrical resistance of the conductive fluid.


20240185445.ARTIFICIAL INTELLIGENCE MODELING TECHNIQUES FOR VISION-BASED OCCUPANCY DETERMINATION_simplified_abstract_(tesla, inc.)

Inventor(s): Pengfei Phil DUAN of Austin TX (US) for tesla, inc., Nishant DESAI of Austin TX (US) for tesla, inc., Philip LEE of Austin TX (US) for tesla, inc., Ashok ELLUSWAMY of Austin TX (US) for tesla, inc.

IPC Code(s): G06T7/62, B60W60/00, G06T15/08



Abstract: disclosed herein are methods and systems for using artificial intelligence modeling techniques to train and execute an artificial intelligence model to analyze camera feed received from an ego to generate an occupancy data indicating whether different voxels within the ego's surroundings are occupied by an object having mass. a method comprises inputting, using a camera of an ego object, image data of a space around the ego object into an artificial intelligence model; predicting, by executing the artificial intelligence model, an occupancy attribute of a plurality of voxels; and generating a dataset based on the plurality of voxels and their corresponding occupancy attribute.


20240185552.ENHANCED OBJECT DETECTION FOR AUTONOMOUS VEHICLES BASED ON FIELD VIEW_simplified_abstract_(tesla, inc.)

Inventor(s): Anting Shen of Mountain View CA (US) for tesla, inc., Romi Phadte of Mountain View CA (US) for tesla, inc., Gayatri Joshi of Mountain View CA (US) for tesla, inc.

IPC Code(s): G06V10/25, G05D1/228, G05D1/246, G06F18/211, G06V10/80, G06V20/58



Abstract: systems and methods for enhanced object detection for autonomous vehicles based on field of view. an example method includes obtaining an image from an image sensor of one or more image sensors positioned about a vehicle. a field of view for the image is determined, with the field of view being associated with a vanishing line. a crop portion corresponding to the field of view is generated from the image, with a remaining portion of the image being downsampled. information associated with detected objects depicted in the image is outputted based on a convolutional neural network, with detecting objects being based on performing a forward pass through the convolutional neural network of the crop portion and the remaining portion.


Tesla, Inc. patent applications on June 6th, 2024