PATENT CLAIM ANALYSIS

Application Number: 15944289
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["701", "025000"]

Abstract:
A perception module is configured to perceive a driving environment surrounding an autonomous driving vehicle (ADV) based on sensor data, and to generate perception information using various perception models or methods. The perception information describes the perceived driving environment. Based on the perception information, a planning module is configured to plan a trajectory representing a route or a path for a current planning cycle. The ADV is then controlled and driven based on the trajectory. In addition, the planning module determines a critical region (also referred to as a critical area) surrounding the ADV based on the trajectory in view of a current location or position of the ADV. The metadata describing the critical region is transmitted to the perception module via an application programming interface (API) to allow the perception module to generate perception information for a next planning cycle in view of the critical region.

Claim (Index 12):
The machine-readable medium of  claim 11 , wherein the first perception information describing a driving environment in a higher resolution than the second perception information, and wherein the perception module consumes more processing resources to generate the first perception information than the second perception information.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.25
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15701427', '15394563', '15467096', '15772523', '15622377']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4578054186936058
- 35 USC 102 Novelty (BERT): 0.4765951390881237
- Combined Prediction Score: 0.4596843907330575
- Mean Citation Score: 179.588666
- Max Citation Score: 196.2616
- Similarity Product: 147.4471477045059

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

Dataset: test