View source for Tesla, inc. (20240185552). ENHANCED OBJECT DETECTION FOR AUTONOMOUS VEHICLES BASED ON FIELD VIEW simplified abstract

=ENHANCED OBJECT DETECTION FOR AUTONOMOUS VEHICLES BASED ON FIELD VIEW=


==Organization Name==

[[:Category:tesla, inc.|tesla, inc.]]


[[Category:tesla, inc.]]

==Inventor(s)==

[[:Category:Anting Shen of Mountain View CA (US)|Anting Shen of Mountain View CA (US)]][[Category:Anting Shen of Mountain View CA (US)]]

[[:Category:Romi Phadte of Mountain View CA (US)|Romi Phadte of Mountain View CA (US)]][[Category:Romi Phadte of Mountain View CA (US)]]

[[:Category:Gayatri Joshi of Mountain View CA (US)|Gayatri Joshi of Mountain View CA (US)]][[Category:Gayatri Joshi of Mountain View CA (US)]]

==ENHANCED OBJECT DETECTION FOR AUTONOMOUS VEHICLES BASED ON FIELD VIEW - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240185552 titled 'ENHANCED OBJECT DETECTION FOR AUTONOMOUS VEHICLES BASED ON FIELD VIEW

==Simplified Explanation==

The abstract describes systems and methods for enhanced object detection for autonomous vehicles based on the field of view. Here is a simplified explanation of the patent application:

* Obtaining an image from one or more image sensors positioned around a vehicle.
* Determining the field of view associated with a vanishing line.
* Generating a crop portion corresponding to the field of view from the image.
* Downsampling the remaining portion of the image.
* Outputting information associated with detected objects in the image based on a convolutional neural network.

== Potential Applications ==
This technology can be applied in autonomous vehicles, robotics, surveillance systems, and security systems.

== Problems Solved ==
1. Improved object detection accuracy in the field of view.
2. Efficient use of image data for detecting objects.

== Benefits ==
1. Enhanced safety and security in autonomous vehicles.
2. Increased efficiency in object detection tasks.
3. Real-time detection and response to potential obstacles.

== Potential Commercial Applications ==
"Enhanced Object Detection for Autonomous Vehicles" technology can be utilized in self-driving cars, delivery drones, warehouse automation, and smart city infrastructure.

== Possible Prior Art ==
There may be prior art related to object detection systems using convolutional neural networks in the field of autonomous vehicles and robotics.

=== What are the limitations of the object detection system described in the patent application? ===

The patent application does not mention the specific performance metrics or benchmarks achieved by the object detection system.

=== How does the system handle occlusions or overlapping objects in the field of view? ===

The patent application does not provide information on how the system addresses occlusions or overlapping objects in the field of view.


==Original Abstract Submitted==

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.



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