Abstract: Systems and methods for control systems for facilitating situational awareness of a vehicle are provided. Sensors located around a stationary vehicle may detect moving objects that pose potentially dangerous situations for the vehicle occupants and for the object. This can cause the doors to lock automatically in order to make the situation safer. Additionally, electromagnetic radiation sensors located around the vehicle may detect the lights and sounds of emergency vehicles. If the electromagnetic data from the electromagnetic radiation sensors match a known pattern of electromagnetic data emitted by emergency vehicles stored in a library an alarm may be sounded through the speakers of the vehicle in order to alert the vehicle occupants of an emergency vehicle in the vicinity.

Abstract: An automatic alarm system for a vehicle includes a sensor adapted to detect electromagnetic data, a computer system, and an automatic alarm mechanism. The computer system receives data from the sensor. A computer processor compares the electromagnetic data detected by the sensor with known patterns of electromagnetic data emitted by emergency vehicles that are stored in a library. The automatic alarm mechanism activates in response to the processor determining that the comparison matches a known pattern of electromagnetic data for an emergency vehicle resulting in the computer processor sending a first signal to activate an alarm of the vehicle.

Abstract: Systems and methods relate to, inter alia, calculating a number of expected collisions in an area over a time period. The systems and methods may further determine a number of observed collisions in the area over the time period. The systems and methods may further calculate a risk index for the area based upon a comparison between the number of expected collisions and the number of observed collisions. The systems and methods may further determine one or more travel routes for a vehicle based upon the calculated risk index. The systems and methods may further display a notification depicting the one or more travel routes to facilitate routing of the vehicle that avoids traversing the area.

Abstract: Systems and methods are disclosed for adjusting autonomous vehicle driving behavior. A controller of the autonomous vehicle may utilize an aggression factor to adjust control of the autonomous vehicle. The autonomous vehicle may detect one or more characteristics of proximate vehicles, analyze the one or more characteristics to estimate an aggression level of the proximate vehicles, and adjust the aggression factor based on the estimated aggression level.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: Systems and methods are disclosed for identifying high risk parking lots. High risk parking lots may be, for example, parking lots that pose a higher than average risk of collisions and/or theft. Auto insurance claim data may be analyzed to identify hazardous areas. A virtual navigation of roads within the hazardous area may be identified. Public parking lots within the virtual navigation map may be defined, with each public parking lot determined as either in a hazardous area or not. A vehicle may be determined to be approaching or parking in a parking lot in a hazardous area, and a nearby public parking lot not associated with the hazardous area may be selected instead. A route from a current position to the nearby public parking lot may be generated, and the vehicle may be routed to the nearby public parking lot. As a result, collisions and thefts may be reduced.

Abstract: Systems and methods are disclosed for educating vehicle drivers. Auto insurance claim data may be analyzed to identify hazardous areas associated with an abnormally high amount or severity of vehicle collisions. A virtual navigation map of roads within the hazardous areas may be built or generated. A common cause of several vehicle collisions at a hazardous area may be identified, and a virtual reconstruction of a scenario involving the common cause and/or a road map of collisions locations of may be created. The virtual reconstruction of the scenario may be displayed on a driver education virtual simulator to enhance driver education and reduce the likelihood of vehicle collisions.

Abstract: Systems and methods relate to, inter alia, calculating a collision risk index for an area based upon historical traffic data. The systems and methods may further generate a notification to automatically engage or disengage an autonomous, or semi-autonomous, vehicle control feature in a vehicle based upon the collision risk index for the area. The systems and methods may further transmit the notification to a device of the vehicle to facilitate automatically engaging or disengaging an autonomous, or semi-autonomous, vehicle control feature in the vehicle as the vehicle approaches the area. As a result, vehicle collisions may be reduced, and vehicle safety enhanced.

Abstract: An automatic alarm system for a vehicle includes a sensor adapted to detect electromagnetic data, a computer system, and an automatic alarm mechanism. The computer system receives data from the sensor. A computer processor analyzes the data from the sensor to determine whether a pattern from the electromagnetic data has been detected and compares the pattern of electromagnetic data detected by the sensor with known patterns of electromagnetic data emitted by emergency vehicles that are stored in a library. The automatic alarm mechanism activates in response to the processor determining that the comparison matches a known pattern of electromagnetic data for an emergency vehicle resulting in the computer processor sending a first signal to activate an alarm of the vehicle.

Abstract: A method and system may automatically detect failures and send diagnostic information when scheduling home equipment repairs in a smart home environment. A smart home controller may receive sensor data from each of several pieces of smart home equipment to detect whether any failures have occurred. If the smart home controller detects a failure in one of the pieces of smart home equipment based on the sensor data, the smart home controller may communicate diagnostic information for the piece of smart home equipment experiencing the failure to a repair service provider to schedule a repair. The diagnostic information may include sensor data for the piece of smart home equipment, and data indicative of normal operation for the piece of smart home equipment. The smart home controller may transmit a notification to the repair service provider including step-by-step instructions for performing the repair of the piece of smart home equipment.

Abstract: A method and system may automatically detect failures and schedule repairs for home equipment in a smart home environment when the property owner is away from the property. A smart home controller may receive sensor data from each of several pieces of smart home equipment to detect whether any failures have occurred. If the smart home controller detects a failure in one of the pieces of smart home equipment based on the sensor data, the smart home controller may determine that a first piece of smart home equipment needs to be repaired based on a collective analysis of first and second sets of sensor data from the first piece of smart home equipment and a second piece of smart home equipment, respectively. Then the smart home controller may provide a control signal to the first piece of smart home equipment to shut down or limit operation.

Abstract: Systems and methods for providing awareness of emergency vehicles are provided. Sensors located around a vehicle may detect moving objects that pose potentially dangerous situations for the vehicle occupants and for the object. This can cause the doors to lock automatically in order to make the situation safer. Additionally, electromagnetic radiation sensors located around the vehicle may detect the lights and sounds of emergency vehicles. If the electromagnetic data from the electromagnetic radiation sensors match a known pattern of electromagnetic data emitted by emergency vehicles stored in a library an alarm may be sounded through the speakers of the vehicle in order to alert the vehicle occupants of an emergency vehicle in the vicinity.

Abstract: Systems and methods are disclosed for identifying high risk parking lots. High risk parking lots may be, for example, parking lots that pose a higher than average risk of collisions and/or theft. Auto insurance claim data may be analyzed to identify hazardous areas. A virtual navigation of roads within the hazardous area may be identified. Public parking lots within the virtual navigation map may be defined, with each public parking lot determined as either in a hazardous area or not. A vehicle may be determined to be approaching or parking in a parking lot in a hazardous area, and a nearby public parking lot not associated with the hazardous area may be selected instead. A route from a current position to the nearby public parking lot may be generated, and the vehicle may be routed to the nearby public parking lot. As a result, collisions and thefts may be reduced.

Abstract: Systems and methods relate to, inter alia, calculating a number of expected collisions in an area over a time period. The systems and methods may further determine a number of observed collisions in the area over the time period. The systems and methods may further calculate a risk index for the area based upon a comparison between the number of expected collisions and the number of observed collisions. The systems and methods may further select a travel route for a vehicle based upon the risk index.

Abstract: A system and method are provided for improving vehicle awareness and safety by generating and transmitting alerts in response to detecting a hazard in the environment omnidirectional to a vehicle awareness system. Omnidirectional environment data, representing kinematic information pertaining to one or more physically detectable elements omnidirectional to the primary vehicle, is acquired by one or more sensors communicatively coupled to ta vehicle. The system analyzes the omnidirectional environment data to detect if one or more hazards in the omnidirectional environment data, representing a change in the kinetic behavior of the one or more physically detectable elements omnidirectional to the vehicle awareness system, has occurred. When the system detects one or more hazards in the omnidirectional environment data, the system generates and transmits an alert to vehicles, vehicle operators, mobile devices, or pedestrians at risk from the hazard.

Abstract: An automatic alarm system for a vehicle includes a sensor adapted to detect electromagnetic data, a computer system, and an automatic alarm mechanism. The computer system receives data from the sensor. A computer process analyzes the data from the sensor to determine whether a pattern from the electromagnetic data has been detected, accesses a library of known patterns of electromagnetic data emitted by emergency vehicles, and compares the pattern of electromagnetic data detected by the sensor with the known patterns of electromagnetic data emitted by emergency vehicles that are stored in the library. The automatic alarm mechanism activates in response to the processor determining that the comparison matches a known pattern of electromagnetic data for an emergency vehicle resulting in the computer processor sending a first signal to activate an alarm.

Abstract: A method and system may automatically detect failures and schedule repairs for home equipment in a smart home environment. A smart home controller may receive sensor data from each of several pieces of home equipment to detect whether any failures have occurred. If the smart home controller detects a failure in one of the pieces of home equipment based on the sensor data, the smart home controller may communicate with a repair service provider to schedule a repair of the piece of home equipment which experiences the failure.

Abstract: Systems and methods are disclosed for adjusting autonomous vehicle driving behavior. A controller of the autonomous vehicle may utilize an aggression factor to adjust control of the autonomous vehicle. The autonomous vehicle may detect one or more characteristics of proximate vehicles, analyze the one or more characteristics to estimate an aggression level of the proximate vehicles, and adjust the aggression factor based on the estimated aggression level.

Abstract: Systems and methods for control systems for facilitating situational awareness of a vehicle are provided. Sensors located around a stationary vehicle may detect moving objects that pose potentially dangerous situations for the vehicle occupants and for the object. This can cause the doors to lock automatically in order to make the situation safer. Additionally, electromagnetic radiation sensors located around the vehicle may detect the lights and sounds of emergency vehicles. If the electromagnetic data from the electromagnetic radiation sensors match a known pattern of electromagnetic data emitted by emergency vehicles stored in a library an alarm may be sounded through the speakers of the vehicle in order to alert the vehicle occupants of an emergency vehicle in the vicinity.