PATENT CLAIM ANALYSIS

Application Number: 16149223
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["701", "026000"]

Abstract:
A computer-readable medium stores instructions executable by one or more processors to implement a self-driving control architecture for controlling an autonomous vehicle. A perception and prediction component receives sensor data, and generates (1) an observed occupancy grid indicating which cells are currently occupied in a two-dimensional representation of the environment, and (2) predicted occupancy grids indicating which cells are expected to be occupied later. A mapping component provides navigation data for guiding the vehicle toward a destination, and a cost map generation component is configured to generate, based on the observed occupancy grid, the predicted occupancy grid(s), and the navigation data, cost maps that each specify numerical values representing a cost, at a respective instance of time, of occupying certain cells in a two-dimensional representation of the environment. A motion planner generates a grid path through the environment based on the cost maps, and corresponding decisions for maneuvering the vehicle.

Claim (Index 26):
The method of  claim 21 , wherein generating the one or more predictive occupancy grids further includes:\n estimating future positions of the tracked objects; and generating the one or more predicted occupancy grids using the estimated future positions.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 97.0
- Lexical Diversity: 1.87912
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16149219', '16138582', '16138427', '16049140', '15906610']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5130237173306582
- 35 USC 102 Novelty (BERT): 0.5528767738691154
- Combined Prediction Score: 0.5170090229845039
- Mean Citation Score: 303.0388900000001
- Max Citation Score: 487.70352
- Similarity Product: 282.11478729563714

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