PATENT CLAIM ANALYSIS

Application Number: 15927870
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["345", "426000"]

Abstract:
Techniques for generating maps without shadows are discussed herein. A plurality of images can be captured by a vehicle traversing an environment representing various perspectives and/or lighting conditions in the environment. A shadow within an image can be identified by a machine learning algorithm trained to detect shadows in images and/or by projecting the image onto a three-dimensional (3D) map of the environment and identifying candidate shadow regions based on the geometry of the 3D map and the location of the light source. Shadows can be removed or minimized by utilizing blending or duplicating techniques. Color information and reflectance information can be added to the 3D map to generate a textured 3D map. A textured 3D map without shadows can be used to simulate the environment under different lighting conditions.

Claim (Index 21):
The system of  claim 1 , wherein the instructions further cause the system to:\n determine the candidate shadow region further based at least in part on a pose of an image capture device of the one or more image capture devices.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.81579
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15927806', '15924933', '15923939', '14603207', '10022133']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6418987200289381
- 35 USC 102 Novelty (BERT): 0.5012414932317613
- Combined Prediction Score: 0.6278329973492204
- Mean Citation Score: 168.355832
- Max Citation Score: 285.5285
- Similarity Product: 250.11164480543133

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

Dataset: test