ELECTRIC VEHICLE BATTERY CONSERVATION
Systems and methods are described for performing vehicular collision reconstruction and battery conservation for an electric or battery-powered vehicle. In various aspects, an indication of a trigger event may be detected from computer analysis of telematics data gathered by one or more sensors associated with a vehicle. The trigger event may be associated with a vehicle collision. A camera mounted on the vehicle may be activated, based upon the indication of the trigger event, to acquire an image of a second vehicle associated with the vehicle collision. Image data associated with the image may then be transmitted to a remote server computer for analysis of the image data, in which the remove server is capable of generating from the image data, a reconstruction of the vehicle collision, and determining, from the reconstruction of the vehicle collision, a cause of loss associated with the vehicle collision.
1 . A computer system configured to perform vehicular collision reconstruction and battery conservation, the computer system comprising one or more processors, sensors, and transceivers configured to:
detect an indication of a trigger event from computer analysis of (i) telematics data gathered by one or more sensors associated with a vehicle, and (ii) environmental data received from sensors disposed within infrastructure components positioned separately from the vehicle in an environment through which the vehicle travels, wherein the trigger event is associated with a vehicle collision;
based upon the indication of the trigger event, activate a camera mounted on the vehicle and configured to acquire image data associated with the vehicle collision;
determine an occurrence of a specific condition based on at least one of the telematics data and the environmental data, the specific condition being different from the trigger event
deactivate the camera after the vehicle collision and after determining that conditions related to the trigger event have been sufficiently recorded based on the occurrence of the specific condition; and
wirelessly transmit the image data to a remote server,
the remote server configured to analyze the image data to generate a reconstruction of the vehicle collision and to determine a cause of loss associated with the vehicle collision.
2 . The computer system of claim 1 , wherein the trigger event is the one or more sensors detecting one or more of the following: the vehicle's following distance unexpectedly decreasing, or the vehicle's following distance rapidly decreasing.
3 . (canceled)
4 . The computer system of claim 1 , wherein the trigger event is the one or more sensors detecting one or more of the following: a brake pedal being engaged, a brake pedal triggered by brake system pressure, or a force applied to the brakes being determined to be above a predetermined threshold.
5 . The computer system of claim 1 , wherein the trigger event is the one or more sensors detecting vehicle deceleration above a predetermined threshold.
6 . The computer system of claim 1 , wherein the trigger event is the one or more sensors detecting the vehicle cornered above a predetermined threshold.
7 . The computer system of claim 1 , wherein the trigger event is the one or more sensors detecting an animal in the vicinity of the vehicle.
8 . The computer system of claim 1 , wherein the trigger event is an infrared camera or radar unit detecting an animal in the vicinity of the vehicle.
9 . The computer system of claim 1 , wherein the trigger event is an automatic deployment of a vehicle collision avoidance system or feature associated with the vehicle.
10 . The computer system of claim 1 , wherein the detection of the indication of the trigger event from computer analysis of telematics data further includes detection, by a machine learning program that is trained with the telematics data, of the indication of the trigger event, wherein the trigger event is the one or more sensors detecting one or more of the following: an anticipated vehicle collision, an actual vehicle collision, an anomalous condition, or a high risk of vehicle collision.
11 . A computer-implemented method of vehicular collision reconstruction and battery conservation, the method comprising:
gathering, via one or more sensors associated with a vehicle, telematics data;
receiving, via one or more processors, environmental data from sensors disposed within infrastructure components positioned separately from the vehicle in an environment through which the vehicle travels;
detecting, via one or more processors, an indication of a trigger event from computer analysis of (i) the telematics data and (ii) the environmental data, wherein the trigger event is associated with a vehicle collision;
based upon the indication of the trigger event, activating, via the one or more processors, a camera mounted on the vehicle and configured to acquire image data associated with the vehicle collision;
determining an occurrence of a specific condition based on at least one of the telematics data and the environmental data, the specific condition being different from the trigger event;
deactivating, via the one or more processors, the camera after the vehicle collision and after determining that conditions related to the trigger event have been sufficiently recorded based on the occurrence of the specific condition; and
wirelessly transmitting, via the one or more processors, the image data to a remote server,
the remote server configured to analyze the image data to generate a reconstruction of the vehicle collision and to determine a cause of loss associated with the vehicle collision.
12 . The computer-implemented method of claim 11 , wherein the trigger event is the one or more sensors detecting one or more of the following: the vehicle's following distance unexpectedly decreasing, or the vehicle's following distance rapidly decreasing.
13 . (canceled)
14 . The computer-implemented method of claim 11 , wherein the trigger event is the one or more processors detecting one or more of the following: a brake pedal being engaged, a brake pedal triggered by brake system pressure, or a force applied to the brakes exceeding a predetermined threshold.
15 . The computer-implemented method of claim 11 , wherein the trigger event is one or more vehicle-mounted sensors detecting an animal in the vicinity of the vehicle.
16 . The computer-implemented method of claim 11 , wherein the trigger event is the one or more sensors detecting vehicle deceleration above a predetermined threshold.
17 . The computer-implemented method of claim 11 , wherein the trigger event is the one or more sensors detecting the vehicle cornered above a predetermined threshold.
18 . The computer-implemented method of claim 11 , wherein the trigger event is an infrared camera or radar unit detecting an animal in the vicinity of the vehicle.
19 . The computer-implemented method of claim 11 , wherein the trigger event is an automatic deployment of a vehicle collision avoidance system or feature associated with the vehicle.
20 . The computer-implemented method of claim 11 , wherein the detection of the indication of the trigger event from computer analysis of telematics data further includes detection, by a machine learning program that is trained with the telematics data, of the indication of the trigger event, wherein the trigger event is the one or more processors detecting one or more of the following: an anticipated vehicle collision, an actual vehicle collision, an anomalous condition, or a high risk of vehicle collision.
21 . The computer system of claim 1 , wherein the trigger event is the one or more sensors detecting a high risk of vehicle collision based upon known risk levels associated with an area of travel by the vehicle.
22 . The computer-implemented method of claim 11 , wherein the trigger event is the one or more sensors detecting a high risk of vehicle collision based upon known risk levels associated with an area of travel by the vehicle.