PATENT CLAIM ANALYSIS

Application Number: 15980001
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["701", "023000"]

Abstract:
An abnormality detection device includes a sensor configured to detect an external environment of a vehicle and an electronic control unit configured to: detect a traveling state of the vehicle; acquire a control command value for the vehicle in automatic driving control, the vehicle being caused to travel automatically in the automatic driving control; determine, based on a difference between the traveling state and the control command value, whether the traveling state is abnormal; determine, based on a detection result from the sensor, whether the external environment is suitable for execution of the automatic driving control; and determine that an abnormality has occurred in an automatic driving system when it is determined that the traveling state is abnormal and it is determined that the external environment is suitable for the execution of the automatic driving control, the automatic driving system performing the automatic driving control.

Claim (Index 3):
The abnormality detection device according to  claim 1 , wherein the sensor includes a LIDAR or a camera, the LIDAR being configured to irradiate surroundings of the vehicle with light and configured to detect reflected light of the irradiated light, the camera being configured to capture an image of a traveling road of the vehicle,\n wherein the electronic control unit is configured to:\n detect a measured yaw rate or a measured lateral acceleration of the vehicle as the traveling state; \n calculate a predicted yaw rate or a predicted lateral acceleration, the predicted yaw rate being a predicted yaw rate when the vehicle travels based on the control command value, the predicted lateral acceleration being a predicted lateral acceleration when the vehicle travels based on the control command value; \n determine that the traveling state is abnormal when one of conditions are satisfied, the conditions being (i) a condition that a difference between the predicted yaw rate and the measured yaw rate is greater than a predetermined yaw rate threshold value and (ii) a condition that a difference between the predicted lateral acceleration and the measured lateral acceleration is greater than a predetermined lateral acceleration threshold value; \n detect a road shape of the traveling road based on a detection result from the LIDAR or the image captured by the camera; \n determine that the external environment is suitable for the execution of the automatic driving control when the road shape detected by the sensor is a straight line; and \n determine that the abnormality has occurred in the automatic driving system when it is determined that the traveling state is abnormal and it is determined that the external environment is suitable for the execution of the automatic driving control based on the road shape of the traveling road.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 93.0
- Lexical Diversity: 2.75439
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15889601', '10483978', '15647768', '13811463', '15337396']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4764139350725149
- 35 USC 102 Novelty (BERT): 0.4920577479856073
- Combined Prediction Score: 0.4779783163638241
- Mean Citation Score: 226.24701
- Max Citation Score: 255.58
- Similarity Product: 198.7403004074097

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

Dataset: test