PATENT CLAIM ANALYSIS

Application Number: 15993368
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-12
Patent Classification: ["701", "023000"]

Abstract:
Techniques and examples pertaining to vehicle odometry using one or more radars disposed on a vehicle are described. A method for radar odometry may involve receiving, by a processor from the radars, measurement data of stationary objects and moving objects that are located in an environment a vehicle is traversing. The method may also involve performing, by the processor, a random sample consensus (RANSAC) calculation to select the measurement data of the stationary objects and disregard the measurement data of the moving objects. The method may also involve calculating, by the processor, one or more dynamic variables of the vehicle based on the measurement data of the stationary objects. The proposed method processes the measurement data of the stationary objects with one single RANSAC calculation and one least squares problem solving, thereby greatly reducing computation cost and time as well as latency in operation for providing the vehicle odometry.

Claim (Index 16):
The radar odometry apparatus of  claim 11 , wherein:\n the one or more objects comprise one or more stationary objects that are stationary in the environment and one or more moving objects that are moving in the environment, and the processor comprises a random sample consensus (RANSAC) circuit capable of differentiating respective measurement data of the one or more stationary objects from respective measurement data of the one or more moving objects.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.08974
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15333773', '14614164', '14156681', '12393133', '14768733']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4125825407147325
- 35 USC 102 Novelty (BERT): 0.4789749726202774
- Combined Prediction Score: 0.4192217839052869
- Mean Citation Score: 153.712694
- Max Citation Score: 164.41728
- Similarity Product: 111.92624219558716

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