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 1):
A non-transitory computer-readable medium storing thereon instructions executable by one or more processors to implement a self-driving control architecture for controlling an autonomous vehicle, the self-driving control architecture comprising:\n a perception and prediction component configured to receive sensor data and, based on the received sensor data, generate (i) an observed occupancy grid indicative of which cells are currently occupied in a two-dimensional representation of an environment through which the autonomous vehicle is moving and (ii) one or more predicted occupancy grids indicative of which cells are currently expected to be occupied at one or more future instances in time in the two-dimensional representation of the environment; a mapping component configured to provide navigation data for guiding the autonomous vehicle through the environment toward a destination; a cost map generation component configured to generate, based on the observed occupancy grid, the one or more predicted occupancy grids, and the navigation data, a plurality of cost maps, each cost map specifying numerical values representing a cost, at a respective instance of time, of occupying certain cells in a two-dimensional representation of the environment; and a motion planner configured to generate, based on the plurality of cost maps, a grid path through the environment, and generate decisions for maneuvering the autonomous vehicle toward the destination based on the grid path.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 97.0
- Lexical Diversity: 1.87912
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16149219', '16138582', '16138427', '16049140', '15906610']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4744807167725803
- 35 USC 102 Novelty (BERT): 0.5706966851121176
- Combined Prediction Score: 0.4841023136065341
- Mean Citation Score: 303.0388900000001
- Max Citation Score: 487.70352
- Similarity Product: 392.6913359354496

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

Dataset: test