A vehicle includes a communicator that is mounted on the vehicle to perform wireless communication with a server and a controller operates the communicator to transmit an accident reception request signal and image data acquired by another vehicle to the server when the vehicle has an accident with an accident target vehicle. The controller operates the communicator to receive a fault ratio from the server when the server generates fault ratio data between the vehicle and the accident target vehicle based on the image data.

A personalized notification system for a vehicle comprising: a positioning system; a communication unit; a data gathering unit configured to gather information about a driver of the vehicle, the data gathering unit comprising biometric sensor(s) and/or behavioral sensor(s), the data gathering unit being also configured for determining contact(s) to be warned in case of an emergency in relation with the location of the vehicle, said contacts being obtained from a memory and/or from the remote center; a database containing logged data from the positioning system and the data gathering unit; an emergency detection unit configured to receive an alert from the vehicle regarding a vehicle emergency situation and notify the contact(s) to be warned in case of an emergency as defined in the last registered logged data.

Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, operating data may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include actions the feature would have taken to control the vehicle, but which were not taken because a vehicle operator was controlling the relevant aspect of vehicle operation at the time. The operating data may be recorded in a log, which may then be used to determine risk levels associated with vehicle operation based upon risk levels associated with the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

A reporting device includes an emergency reporting section that sends, to a response system via a communication control section, first emergency information including at least one of no-occupant information indicating that no occupant is present in a moving body and autonomous driving mode setting information indicating that the moving body is set in an autonomous driving mode when recognizing that a shock has occurred in the moving body based on shock occurrence information while it is recognized by a driving mode recognizing section that the moving body is set in the autonomous driving mode and it is recognized by an occupant recognizing section that no occupant is present in the moving body.

A moving object escape prevention method includes: controlling, by a processor of a moving object, to drive the moving object based on autonomous driving; detecting, by the processor, whether a collision occurred by the moving object; in response to detecting the collision, transmitting, by the processor, a collision occurrence notification signal and position information of the moving object to an Intelligent Transportation System Infrastructure (ITSI); receiving, by the processor, escape-related information from the ITSI. The receiving escape-related information includes: determining, by the ITSI, whether or not the moving object escapes based on position information of the moving object; receiving, by the processor, accident handling information from the ITSI upon determining that the moving object does not escape, and receiving, by the processor, an escape warning message from the ITSI when the position information of the moving object changes.

A method of vehicle accident response includes generating, by a mobile device located inside a vehicle, telematics data associated with operation of the vehicle, and transmitting, from the mobile device to one or more processors via wireless communication, the telematics data. The method also includes analyzing the telematics data to determine that an accident involving the vehicle has occurred, analyzing the telematics data to determine a likelihood of injury due to the accident, and generating a communication (i) based upon the telematics data and the likelihood of injury and (ii) in response to determining that the accident has occurred. The method further includes transmitting, to the mobile device, the communication.

Systems and methods for an autonomous vehicle are provided. In one aspect, an autonomous vehicle includes a perception sensor and a processor configured to: receive detected roadway conditions data including roadway grade data from the perception sensor, retrieve mapped data having grade data, and determine that the roadway has a grade based on the detected roadway grade data and the retrieved roadway grade data. The processor can be further configured to, in response to determining that the roadway has a grade, determine that the grade of the roadway is greater than or equal to a predetermined high grade value and less than a predetermined grade limit, and in response to determining that the grade of the roadway is greater than or equal to the predetermined high grade value and less than the predetermined grade limit, operate the autonomous vehicle to change lane to a right-most lane.

Provided is a vehicle control system capable of securing stability even in the event of a collision with a travel-path defining line such as a guardrail. The invention recognizes the travel-path defining line of a travel path from information about an area in a traveling direction of an ego vehicle, recognizes a traveling-direction virtual line extending from the ego vehicle in the traveling direction, and imparts a yaw moment control amount so that a formed angle between the traveling-direction virtual line and the travel-path defining line decreases after the ego vehicle collides with the travel-path defining line.

In system and methods for pre-generating insurance claims, accident data associated with a vehicle accident involving a driver may be collected. The accident data may be analyzed, and a likely severity of the vehicle accident may be determined based upon the analysis of the accident data. An estimated insurance claim may be generated based upon the determined likely severity of the vehicle accident, and transmitted, via wireless communication, from one or more remote servers to a mobile device associated with the driver to facilitate presenting all, or a portion of, the estimated insurance claim to the driver or the insured. A wireless communication from the driver or insured indicating approval, rejection or modification of the estimated insurance claim may be received. The estimated insurance claim may be handled in accordance with the approval, rejection or modification.

An electronic control device acquires at least one of subject vehicle information, surrounding environment information, and road information, detects an abnormality that has occurred in a vehicle during an autonomous driving based on a first travel plan, identifying a cause of the abnormality based on at least one of a content of the abnormality, the subject vehicle information, the surrounding environment information, and the road information, determines a situation around the vehicle based on at least one of the subject vehicle information, the surrounding environment information, and the road information, determines a target stop position for stopping the vehicle in a stoppable location based on the cause of the abnormality and the situation around the vehicle, and changes the first travel plan to a second travel plan for stopping the vehicle to the target stop position.