18481732. AUTONOMOUS VEHICLE OBJECT DETECTION simplified abstract (Micron Technology, Inc.)

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AUTONOMOUS VEHICLE OBJECT DETECTION

Organization Name

Micron Technology, Inc.

Inventor(s)

Reshmi Basu of Boise ID (US)

AUTONOMOUS VEHICLE OBJECT DETECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18481732 titled 'AUTONOMOUS VEHICLE OBJECT DETECTION

Simplified Explanation

Methods, systems, and apparatuses related to autonomous vehicle object detection are described in this patent application. The abstract states that an autonomous vehicle can capture an image of an unknown object within its sight line. The processing resources available to the vehicle's memory devices can be reallocated in response to capturing the image. This reallocation allows for the performance of an operation involving the image to classify the unknown object using the reallocated processing resources.

  • The patent application describes a system for object detection in autonomous vehicles.
  • An autonomous vehicle captures an image of an unknown object.
  • The processing resources of the vehicle's memory devices can be reallocated.
  • The reallocated processing resources are used to perform an operation to classify the unknown object.

Potential applications of this technology:

  • Improved object detection in autonomous vehicles.
  • Enhanced safety features in autonomous vehicles.
  • More accurate identification and classification of objects on the road.
  • Better decision-making capabilities for autonomous vehicles.

Problems solved by this technology:

  • Improves the ability of autonomous vehicles to detect and classify objects.
  • Addresses the need for efficient allocation of processing resources in autonomous vehicles.
  • Enhances the overall performance and reliability of object detection systems in autonomous vehicles.

Benefits of this technology:

  • Increased safety for autonomous vehicles and their passengers.
  • Improved accuracy in object detection and classification.
  • Optimal utilization of processing resources in autonomous vehicles.
  • Enhanced decision-making capabilities for autonomous vehicles.


Original Abstract Submitted

Methods, systems, and apparatuses related to autonomous vehicle object detection are described. An autonomous vehicle can capture an image corresponding to an unknown object disposed within a sight line of the autonomous vehicle. Processing resources available to a plurality of memory devices associated with the autonomous vehicle can be reallocated in response to capturing the image and an operation involving the image corresponding to the unknown object to classify the unknown object can be performed using the reallocated processing resources.