684 results about "Vehicle accident" patented technology

System and method for preventing vehicle accidents in which GPS ranging signals relating to a host vehicle's position on a roadway on a surface of the earth are received on a first communication link from a network of satellites and DGPS auxiliary range correction signals for correcting propagation delay errors in the GPS ranging signals are received on a second communication link from a station or satellite. The host vehicle's position on a roadway on a surface of the earth is determined from the GPS, DGPS, and accurate map database signals with centimeter accuracy and communicated to other vehicles. The host vehicle receives position information from other vehicles and determines whether any other vehicle from which position information is received represents a collision threat to the host vehicle based on the position of the other vehicle relative to the roadway and the host vehicle. If so, a warning or vehicle control signal response to control the host vehicle's motion is generated to prevent a collision with the other vehicle.

The invention relates to a system and method for capturing and preserving vehicle event data. A vehicle-mount computer is adapted to capture video and other data relating to the operation of the vehicle. Event sensors inform the system of the occurrence of a vehicle event, which may include a sudden deceleration or change in yaw indicative of a vehicle accident. Upon the occurrence of a vehicle event, the system preserves the data for later use in the investigation of the vehicle event.

System and method for preventing vehicle accidents in which the absolute position of the vehicle is determined, e.g., using a satellite-based positioning system such as GPS, and the location of the vehicle relative to the edges of the roadway is then determined based on the absolute position of the vehicle and stored data relating to edges of roadways on which the vehicle may travel. A system or component within the vehicle is initiated, e.g., an alarm or warning system, or the operation of a system or component is affected, e.g., an automatic guidance system, if the location of the vehicle approaches close to an edge of the roadway or intersects with an edge of the roadway.

In some embodiments, information for determining fault may be entered into a computer system for determining fault in a vehicle accident. In some embodiments, a screen or multiple screens may be used to prompt a user for information. A display of certain aspects of the accident (e.g., vehicle representations, roadway configurations, and accident types) may also be used to graphically input information to help determine fault. In some embodiments, vehicle orientation and position may be entered along with information about the roadway configuration and conditions at the time of the accident. In some embodiments, graphical vehicles may be moved and rotated on a display and impact points may be entered for each vehicle. In some embodiments, multiple vehicles may be considered.

Methods and systems for determining fault for an accident involving a vehicle having one or more autonomous and / or semi-autonomous operation features are provided. According to certain aspects, performance data indicative of the performance of the features may be used to determine fault for a vehicle accident, such as a collision, by allocating fault for the accident between a vehicle operator, the autonomous operation features, or a third party. The allocation of fault may be used to determine an adjustment to an insurance policy and / or adjust coverage levels for an insurance policy. The allocation of fault may further be used to adjust risk levels or profiles associated with the autonomous or semi-autonomous operation features, which may be applied to other vehicles having the same or similar features.

Computer-implemented methods and systems for estimating liability for a vehicle accident are provided. In one embodiment, theoretical paths of a reference vehicle and a reacting vehicle may be estimated. In an embodiment, a reacting vehicle reacts to a danger of an accident with the reference vehicle. The opportunity of the reacting vehicle to avoid the accident may be assessed. In certain embodiments, whether the reacting vehicle had an opportunity to avoid the accident at a specified speed may be assessed. A contribution to liability to the reacting vehicle may be estimated based on the opportunity of the reacting vehicle to avoid the accident.

Disclosed are an apparatus and a method of requesting an emergency call (E-Call) for a vehicle accident, which request an E-Call for a vehicle accident by using driving information obtained during travelling of a vehicle. An apparatus for requesting an E-Call for a vehicle accident according to the present invention includes: a travelling information detecting unit configured to detect travelling information about a vehicle for each predetermined time; a vehicle accident determining unit configured to determine whether an accident occurs in the vehicle based on the travelling information; and an E-Call signal transmitting unit configured to transmit an E-Call signal for the vehicle accident with a current location of the vehicle when it is determined that the accident occurs in the vehicle.

This invention relates to the use and proper placement in a vehicle of a mobile wireless phone having cellular or GPS positioning capability and an impact sensor, e.g. triaxial accelerometer. Said sensor instantly detects a serious vehicular accident or theft, then and without driver or passenger intervention, automatically transmits an emergency appeal for assistance to appropriate Police / Emergency Medical Services (PEMS), or Fire Rescue units, apprizing the PEMS of said exigency and location. Otherwise, the integrated mobile phone system will function in a manner that is similar to a conventional wireless mobile phone. Optionally, the integrated mobile wireless phone may include means for receiving an emergency medical signal and automatically communicates an appeal for emergency assistance when the user having said unit and having a predisposed life threatening medical condition, encounters a life threatening anomaly, e.g., heart attack. System provides means to mitigate multi-vehicle collisions that are normally associated with environmental road hazards fog, ice, etc., by instantly alerting authorities and / or drivers in the region of the location of said hazard when an accident occurs.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, with the customer's permission, it may be detected by sensors that an occupant of the autonomous or semi-autonomous vehicle is experiencing a medical emergency. A nearby medical facility may be determined based upon the vehicle location and the detected medical emergency. A route from the current vehicle location to the medical facility may be determined, and the autonomous or semi-autonomous vehicle may be automatically directed or routed to the medical facility. A message may also be generated and transmitted to the medical facility to alert them that a person in need of timely medical assistance is on the way. Life and auto insurance discounts may be generated for risk averse customers based upon their vehicles having the emergency response functionality.

The present invention provides a combined lip reading and voice recognition multimodal interface system, which can issue a navigation operation instruction only by voice and lip movements, thus allowing a driver to look ahead during a navigation operation and reducing vehicle accidents related to navigation operations during driving. The combined lip reading and voice recognition multimodal interface system in accordance with the present invention includes: an audio voice input unit; a voice recognition unit; a voice recognition instruction and estimated probability output unit; a lip video image input unit; a lip reading unit; a lip reading recognition instruction output unit; and a voice recognition and lip reading recognition result combining unit that outputs the voice recognition instruction

Apparatuses, systems and methods monitor vehicular activity. Specifically, the apparatuses, systems, and methods of the present disclosure provide a plurality of sensors and devices for monitoring a vehicle while the vehicle is in use, including but not limited to, impact sensors, cameras, recording devices, and other like devices. Even more specifically, multiple vehicles having the apparatuses, systems, and methods of the present disclosure may be networked together to provide multiple fields of view. The devices create data streams that are processed and / or recorded for reference to the same upon inquiry, such as after a vehicle accident or for any other purpose. The data streams from multiple vehicles are combined to provide additional details undiscoverable when using a single source.

A system and method are disclosed for preventing accidents in a vehicle. The system comprises an eye gaze detector for receiving an eye gaze vector from a driver. The system additionally comprises a proximity sensor for detecting locations of nearby objects and their velocities. A vehicle accident risk is determined based on the nearby object location and velocity. Additionally, the driver's knowledge of vehicle circumstances is determined based on the nearby object location and velocity as well as the eye gaze location. Responsive to the driver's knowledge and the vehicle accident risk, a vehicle alert is activated.

A system to monitor vehicle accidents using a network of aerial based monitoring systems, terrestrial based monitoring systems and in-vehicle monitoring systems is described. Aerial vehicles used for this surveillance include manned and unmanned aircraft, satellites and lighter than air craft. Aerial vehicles can also be deployed from vehicles. The deployment is triggered by sensors registering a pattern in the data that is indicative of an accident that has happened or an accident about to happen.

The invention discloses an intelligent electric quantity protection method of an electric unmanned aerial vehicle. The method comprises the following steps: obtaining a current remaining electric quantity of a battery in real time; obtaining coordinate information of a current position of an electric unmanned aerial vehicle in real time and calculating a security electric quantity needed for security protection command execution by the electric unmanned aerial vehicle at the current position according to the coordinate information of the current position of the electric unmanned aerial vehicle; determining whether the current remaining electric quantity is larger than the security electric quantity; and if not, executing a corresponding security protection command immediately. With the intelligent electric quantity protection method, the electric unmanned aerial vehicle can be protected effectively and intelligently in real time; an electric unmanned aerial vehicle accident caused by insufficient electric capacity can be avoided; and the battery utilization rate is also improved. In addition, the invention also provides an electric unmanned aerial vehicle using the intelligent electric quantity protection method.

The present invention relates to a system and method for conducting historical search transactions that relate directly or indirectly to insurance subrogation and adverse claims. The invention includes a method for the accurate resolution of insurance claims (including claims against self-insureds), and a method for determining the settlement rules applied by an insurer or self-insurer in settling automotive casualty claims.

The prevention of vehicle accidents is targeted. A road texture model is created based on a vehicle camera image. An initial vehicle location estimate is determined, and map imagery is obtained based on this location estimate. A refined vehicle location is determined using visual egomotion. In particular, 3D features of the vehicle image and the retrieved map imagery are identified and aligned. A map image is selected based on this alignment, and the location associated with the map image is modified by a displacement between the selected map image and the vehicle image to produce a refined vehicle location. A road boundary model is created based on the road texture model and the refined vehicle location, and a road departure model is created based on the road boundary model and vehicle odometry information. The operator of the vehicle is warned of a road departure based on the road departure model.

Provided are a system and method for informing a vehicle accident using a telematics device. In an emergency, such as vehicle collision, etc., the system and method propagate information on the accident to vehicles around the accident scene, thereby informing the vehicles of traffic congestion. Since the vehicles continuously inform the same to vehicles behind through ad-hoc communication, a vehicle guided by a telematics device can recognize the traffic congestion ahead, re-search for a path, and thereby make a detour. Therefore, although vehicles behind the accident scene cannot see the occurrence of the accident on a foggy highway, etc., the risk of a chain-reaction crash is reduced. In addition, it is possible to avoid traffic congestion due to an accident in downtown.

Computer-implemented methods and systems for estimating liability for a vehicle accident are provided. In an embodiment, vehicle data of a vehicle relating to the accident may be recorded in memory on a computer system. The recorded vehicle data may be then be stored on a computer system. In certain embodiments, the vehicle data may be recorded and stored on a first computer system. In some embodiments, the stored vehicle data may be retrieved from the first computer system with a second computer system. An effect of the-vehicle data on liability of a party in the accident may be estimated using a method and system for estimating liability on a computer system. In an embodiment, the method and system for estimating liability may be in memory on the second computer system.

Computer-implemented methods and systems for estimating liability for a vehicle accident are provided. In an embodiment, claim data may be accessed for one or more claims relating to a vehicle accident from a first database on a computer system. In some embodiments, the claim data may be accessed if the claim data is not stored on a second database. In other embodiments, the accessed claim data may be stored on a second database on the computer system. The second database may be associated with a method and system for estimating liability in the vehicle accident. In further embodiments, the stored claim data for one or more of the claims may be accessed on the second database for use by the method and system for estimating liability in the vehicle accident.

A novel active hood system is disclosed. The active hood system is designed such that in the event of a pedestrian / vehicle accident, the active hood system will soften the impact between the pedestrian and the vehicle by moving the vehicle hood into an elevated position. In some embodiments, the active hood system is constructed such that during a pedestrian / vehicle collision, the active hood system will raise the vehicle hood into an elevated position by having the hood move through a first travel distance and a second travel distance. The active hood system includes an actuator and a hinge. The actuator may be attached to the hinge. The actuator is designed such that if it is deployed, the actuator will raise the hood into the elevated position. Additional embodiments may also be made in which the actuator is vented during deployment. A dampener is also added to the active hood system. The dampener is designed to dampen the movement of the hood as the hood is moved through the second travel distance.

Computer-implemented methods and systems for estimating liability for a vehicle accident are provided. In one embodiment, at least one stopping distance of a vehicle may be estimated. In some embodiments, a stopping distance may include an approximate distance for the vehicle traveling at a specified speed to stop to avoid the accident. A perception distance that may correspond to an approximate distance from the accident at which the vehicle sensed danger of an accident may be estimated. In certain embodiments, an opportunity of the vehicle to avoid the accident using the perception distance may be assessed. Some embodiments may include estimating an effect on liability based on the opportunity to avoid the accident.

Computer-implemented methods and systems for creating pre-configured claim reports including estimated liability for a vehicle accident are provided. In an embodiment, claim information on a computer system required by a pre-configured claim report for an accident may be accessed from a database. In some embodiments, the claim information may be accessed if a user-specified condition is met. In other embodiments, the claim information may be accessed periodically following a user-specified time period. A pre-configured claim report may be created from the accessed claim information. In certain embodiments, the pre-configured claim report may be sent to a user-specified location.

The invention discloses an unmanned vehicle data processing method and device, and a black box system. The method includes one specific implementation way: obtaining unmanned vehicle driving information which includes driving road information, collision sensing information, vehicle condition information and control information; according to the driving information, detecting whether the unmanned vehicle is abnormal; and in response to a detected case that the unmanned vehicle is abnormal, sending driving information in a preset time period to a cloud server. The implementation way can send the unmanned vehicle accident or failure related information to the cloud server in a timely manner, and provides comprehensive and accurate data support for analysis of the abnormal state of the unmanned vehicle.

The invention discloses a personal driving behaviour analysis management control system, comprising a data reading terminal, a GPS (global positioning system) positing device and a server, wherein the data reading terminal is used for acquiring vehicle ECU (electronic control unit) operational data, reading automobile travelling working condition data, creating a driver operation behaviour data evaluation analysis model, giving an alarm when finding a dangerous driving behaviour, emergently recording vehicle accident data, carrying out statistic on automobile travelling mileage and fuel consumption and detecting whether vehicle emission exceeds the standard or not; the GPS positioning device is used for vehicle positioning; and the server is used for recording and analyzing driving behaviour data, timely reminding a vehicle maintenance fault by combining OBD (on-board diagnostics) vehicle diagnostic function and exchanging information with a user by virtue of an interconnection platform. The invention extracts safety and economy conditions of a vehicle owner by virtue of multiple behaviour models, provides guiding suggestions and ideas for a vehicle owner and alarms and suggests in the automobile driving process and on an Internet terminal interface, thus the system improves driving behaviour and achieves energy conversation and emission reduction, is safety in control, is economic and environment-friendly.

Computer-implemented methods and systems for estimating liability for a vehicle accident are provided. In one embodiment, the theoretical paths of a straight traveling vehicle and of a turning vehicle may be estimated. In certain embodiments, the turning vehicle may be merging into the same lane as the straight traveling vehicle. The opportunity of at least one vehicle, traveling at a specified speed, to avoid the accident may be assessed. In an embodiment, a contribution to liability to at least one vehicle may be estimated based on the opportunity of the vehicle to avoid the accident.

Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle accident, in particular, utilizing a vehicle's mode of operation as part of the subrogation process. An exemplary embodiment includes receiving sensor data; determining that a vehicle collision occurred based upon, at least in part, analysis of the sensor data, such as image, audio, telematics, or autonomous vehicle system data; determining an operational mode for the vehicle based upon, at least in part, analysis of the sensor data, and the operational mode at the time of the accident; determining a percentage of fault for a driver or autonomous or semi-autonomous vehicle system, or lack thereof, based upon the sensor data, and whom or which autonomous or semi-autonomous vehicle system was in control of the vehicle at the time of the vehicle collision.

Methods and systems for determining fault for an accident involving a vehicle having one or more autonomous (and / or semi-autonomous) operation features are provided. According to certain aspects, operating data from sensors within or near the vehicle may be used to determine fault for a vehicle accident, such as a collision. The operating data may include information regarding use of the features at the time of the accident and may further be used to determine an allocation of fault for the accident between a vehicle operator, the autonomous operation features, or a third party. The allocation of fault may be used to determine and / or adjust coverage levels for an insurance policy associated with the vehicle. The allocation of fault may further be used to adjust risk levels or profiles associated with the vehicle operator or with the autonomous operation features.