Accident severity estimation system for a vehicle

An accident severity estimation system for estimating the severity of an accident for a vehicle, the accident severity estimation system comprising:

• one or more microphones that capture a plurality of audio-based inputs indicative of verbal and non-verbal sounds emitted by one or more occupants of the vehicle;
• a vision system that captures a plurality of vision-based inputs representing image data indicative of the occupants;
• a motion-based input system that collects a plurality of motion-based inputs indicative of the motion of the vehicle during the accident;
• a thermal incident system that collects a plurality of thermal inputs indicative of thermal events within the vehicle;
• a propulsion system that provides a status-based input of the propulsion system of the vehicle;
• and
• one or more controllers in electronic communication with the one or more microphones, the vision system, the motion-based input system, the thermal incident system, and the propulsion system, the one or more controllers executing instructions to:
• combine the plurality of audio-based inputs based on at least a 2-value logic system to determine an audio-based indicator, the plurality of vision-based inputs based on the at least 2-value logic system to determine a vision-based indicator, and the plurality of thermal inputs based on the at least 2-value logic system to determine a thermal-based indicator, wherein the 2-value logic system is one of a binary logic system and a ternary logic system;
• combine the plurality of motion-based inputs from the motion-based input system based on a weighted sum model to determine a motion-based indicator;
• determine a propulsion-based indicator based on the status-based input;
• estimate the severity of the accident based on the audio-based indicator, the vision-based indicator, the thermal-based indicator, the motion-based indicator, and the propulsion-based indicator based on a fuzzy logic severity estimation technique, wherein the severity of the accident is based at least in part on an amount of acceleration the vehicle experiences during the accident;
• determine one or more remedial actions based on at least the severity of the accident;
• and
• instruct the vehicle to execute the one or more remedial actions, wherein the one or more remedial actions include one or more of the following:
• contacting emergency personnel, unlocking doors of the vehicle, lowering windows of the vehicle, sending an SOS signal to one or more vehicles that are located within a predefined radius from the vehicle, and contacting non-emergency personnel.

An accident severity estimation system for estimating the severity of an accident for a vehicle, the accident severity estimation system comprising:

• one or more microphones that capture a plurality of audio-based inputs indicative of verbal and non-verbal sounds emitted by one or more occupants of the vehicle;
• a vision system that captures a plurality of vision-based inputs representing image data indicative of the occupants;
• a motion-based input system that collects a plurality of motion-based inputs indicative of the motion of the vehicle during the accident;
• a thermal incident system that collects a plurality of thermal inputs indicative of thermal events within the vehicle;
• a propulsion system that provides a status-based input of the propulsion system of the vehicle;
• and
• one or more controllers in electronic communication with the one or more microphones, the vision system, the motion-based input system, the thermal incident system, and the propulsion system, the one or more controllers executing instructions to:
• combine the plurality of audio-based inputs based on at least a 2-value logic system to determine an audio-based indicator, the plurality of vision-based inputs based on the at least 2-value logic system to determine a vision-based indicator, and the plurality of thermal inputs based on the at least 2-value logic system to determine a thermal-based indicator, wherein the 2-value logic system is one of a binary logic system and a ternary logic system;
• combine the plurality of motion-based inputs from the motion-based input system based on a weighted sum model to determine a motion-based indicator;
• determine a propulsion-based indicator based on the status-based input;
• and
• estimate the severity of the accident based on the audio-based indicator, the vision-based indicator, the thermal-based indicator, the motion-based indicator, and the propulsion-based indicator based on a fuzzy logic severity estimation technique, wherein the severity of the accident is based at least in part on an amount of acceleration the vehicle experiences during the accident, and wherein the fuzzy logic severity estimation technique includes:
• assigning a corresponding fuzzy value to each indicator based on a membership function;
• evaluating the corresponding fuzzy value for each of the indicators based on one or more fuzzy logic rules to determine a fuzzified output value, wherein the fuzzified output value indicates the severity of the accident and a truth value corresponding to the severity;
• and
• converting the fuzzified output value into the severity of the accident based on the truth value;
• determine one or more remedial actions based on at least the severity of the accident;
• and
• instruct the vehicle to execute the one or more remedial actions, wherein the one or more remedial actions include one or more of the following:
• contacting emergency personnel, unlocking doors of the vehicle, lowering windows of the vehicle, sending an SOS signal to one or more vehicles that are located within a predefined radius from the vehicle, and contacting non-emergency personnel.