PATENT CLAIM ANALYSIS

Application Number: 15987460
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["701", "028000"]

Abstract:
A collision-avoidance system for use with an autonomous-capable vehicle can continuously receive image frames captured of the roadway to determine drivable space in a forward direction of the vehicle. The system can determine, for each image frame, whether individual regions of the image frame depict drivable space. The system can do so using machine-learned image recognition algorithms such as convolutional neural networks generated using extensive training data. Using such techniques, the system can label regions of the image frames as corresponding to drivable space or non-drivable space. By analyzing the labeled image frames, the system can determine whether the vehicle is likely to impact a region of non-drivable space. And, in response to such a determination, the system can generate control signals that override other control systems or human operator input to control the brakes, the steering, or other sub-systems of the vehicle to avoid the collision.

Claim (Index 5):
The vehicle of  claim 2 , wherein the collision-avoidance system and the vehicle control system utilize a shared set of hardware resources including a shared memory resource and at least one shared processor.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.98765
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15631990', '15886434', '15719614', '15803682', '15955320']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4250775521058444
- 35 USC 102 Novelty (BERT): 0.5164659491408936
- Combined Prediction Score: 0.4342163918093493
- Mean Citation Score: 165.186019
- Max Citation Score: 312.01126
- Similarity Product: 214.7733853734255

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