PATENT CLAIM ANALYSIS

Application Number: 16051031
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
In one embodiment, a method, apparatus, and system for automatically detecting and notifying a user of a traffic rule violation using sensors and a perception module of an autonomous driving vehicle is disclosed. The operations performed comprise: capturing surrounding road traffic information at an autonomous driving vehicle (ADV) based on sensor data obtained from a plurality of sensors of the ADV; automatically detecting at the ADV a traffic rule violation of a first vehicle within a perception range of the ADV based on the surrounding road traffic information and a set of pre-configured traffic rules maintained by the ADV, including analyzing the surrounding road traffic information in view of the pre-configured traffic rules; and generating an alert in response to the detected traffic rule violation.

Claim (Index 9):
The non-transitory machine-readable medium of  claim 8 , wherein the surrounding road traffic information comprises one or more of: lane configuration, road surface markings, traffic light signals, speed, trajectory, relative position of other vehicles, conditions of exterior lights of other vehicles, pedestrians, buildings, obstacles, pedestrian crossings, stop signs, or yield signs.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 95.0
- Lexical Diversity: 2.0
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15701427', '15695885', '15595529', '15622377', '15532861']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5759007967779541
- 35 USC 102 Novelty (BERT): 0.4813500774278219
- Combined Prediction Score: 0.566445724842941
- Mean Citation Score: 158.393956
- Max Citation Score: 161.12141
- Similarity Product: 102.41233602748513

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