PATENT CLAIM ANALYSIS

Application Number: 16216760
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["701", "301000"]

Abstract:
A system and method for performing autonomous emergency braking (AEB) based on peripheral situations of a vehicle. The AEB system includes a front lateral detection sensor, a vehicle dynamics sensor, and an electronic control unit (ECU). The front lateral detection sensor detects a distance and a relative speed between a host vehicle and a peripheral object, or transmits peripheral images of the host vehicle to the ECU. The vehicle dynamics sensor detects a driving speed of the host vehicle, and transmits the detected driving speed to the ECU. The ECU receives detection signals from the front lateral detection sensor and the vehicle dynamics sensor, and increases a size of an AEB control available region and/or an AEB control available speed when at least one leading moving object or at least one external object is present in longitudinal and latitudinal directions of a forward region of the host vehicle and the host vehicle is unable to perform steering avoidance capable of preventing collision with the leading moving object or the external object. Accordingly, even when several leading vehicles are present not only in longitudinal but also latitudinal directions of a forward region of the host vehicle and the host vehicle is unable to perform steering avoidance, the possibility of collision between the host vehicle and the leading vehicles can be reduced.

Claim (Index 16):
The autonomous emergency braking (AEB) method according to  claim 15 , wherein the predetermined speed is increased when the detection signal indicates collision with the external object cannot be avoided via steering control.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 98.0
- Lexical Diversity: 2.63333
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16216912', '12360618', '15239322', '12289998', '16216574']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.508924031584722
- 35 USC 102 Novelty (BERT): 0.5133173558590585
- Combined Prediction Score: 0.5093633640121557
- Mean Citation Score: 256.07016600000003
- Max Citation Score: 309.0821200000001
- Similarity Product: 216.9637907814646

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

Dataset: test