Collision diagnosis for a traffic event
AssigneeOcto Telematics S.P.A.
InventorMassimo Capozza
Life of this patent
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Abstract
A collision diagnosis (12) is generated for a traffic event involving a vehicle, by receiving an output from a self-capacitance sensor (6) having a single electrode comprising at least part of the bodywork of the vehicle (3) and comparing the received output with at least one threshold (8) to generate provisional collision detection data (9). The provisional collision detection data (9) is correlated with further data (11) relating to the traffic event to produce correlation data and the collision diagnosis (12) is generated on the basis of the correlation data.
Claims17
A method of generating a collision diagnosis for a traffic event involving a vehicle, the method comprising:
- receiving an output from a single electrode self-capacitance sensor which is arranged to use the vehicle's bodywork as the single electrode of the self-capacitance sensor, wherein the single electrode self-capacitance sensor detects a self-capacitance of the vehicle's bodywork;
- comparing the received output with at least one threshold to generate provisional collision detection data;
- correlating the provisional collision detection data with further data relating to the traffic event to produce correlation data;
- and
- generating the collision diagnosis on the basis of the correlation data.
Apparatus for generating a collision diagnosis for a traffic event involving a vehicle, the apparatus comprising:
- a single electrode self-capacitance sensor which is configured to use the vehicle's bodywork as the single electrode of the self-capacitance sensor, wherein the single electrode self-capacitance sensor is configured to detect a self-capacitance of the vehicle's bodywork;
- and
- one or more processors and associated memory configured to:
- receive an output from the single electrode self-capacitance sensor;
- compare the received output with at least one threshold to generate provisional collision detection data;
- correlate the provisional collision detection data with further data relating to the traffic event to produce correlation data;
- and
- generate the collision diagnosis on the basis of the correlation data.
Dependencies are inferred from the claim text.