PATENT CLAIM ANALYSIS

Application Number: 15886434
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-07
Patent Classification: ["701", "028000"]

Abstract:
The present disclosure provides systems and methods for image-based free space detection. In one example embodiment, a computer-implemented method includes obtaining image data representing the environment proximate to the autonomous vehicle, the image data including a representation of the environment from a perspective associated with the autonomous vehicle. The method includes reprojecting the image data to generate a reprojected image. The method includes inputting the reprojected image to a machine-learned detector model. The method includes obtaining as an output of the machine-learned detector model, object data characterizing one or more objects in the environment. The method includes determining a free space in the environment based at least in part on the object data.

Claim (Index 15):
A free space detection system comprising:\n one or more processors; a machine-learned detector model, wherein the machine-learned detector model has been trained to receive an input image and, in response to receipt of the input image, output object data characterizing one or more objects in an environment proximate to an autonomous vehicle; and at least one tangible, non-transitory computer readable medium that stores instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, the operations comprising: obtaining an input image that represents the environment proximate to an autonomous vehicle, wherein each pixel of the input image corresponds to a distance value; inputting the input image to the machine-learned detector model; receiving, as output of the machine-learned detector model, object data characterizing one or more objects in the environment proximate to the autonomous vehicle; and determining a free space in the environment based at least in part on the object data.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 88.0
- Lexical Diversity: 2.0
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15783005', '15609256', '15652654', '15698824', '15810296']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4476127272439432
- 35 USC 102 Novelty (BERT): 0.4734622156860386
- Combined Prediction Score: 0.4501976760881527
- Mean Citation Score: 222.2364
- Max Citation Score: 233.20108
- Similarity Product: 200.7659893055392

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test