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 8):
The method of  claim 5 , wherein the database comprises a plurality of database entries, wherein each database entry maps a particular driving scenario to a set of metadata describing one or more rules to define a polygon representing a critical region.

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): 0.4523766858940309
- 35 USC 102 Novelty (BERT): 0.4982488187598763
- Combined Prediction Score: 0.4569638991806155
- Mean Citation Score: 179.588666
- Max Citation Score: 196.2616
- Similarity Product: 116.28004408736228

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