A device may receive accelerometer data and video data for a vehicle and may identify bounding boxes and object classes for objects near the vehicle. The device may identify tracks for the objects and may filter out tracks that are not associated with vehicles or vulnerable road users to generate one or more tracks or an indication of no tracks. The device may generate a collision cone identifying a drivable area of the vehicle to identify objects more likely to be involved in a collision and may filter out tracks from the one or more tracks, based on the bounding boxes, and to generate a subset of tracks or another indication of no tracks. The device may determine scores for the subset of tracks and may identify a track of the subset of tracks with a highest score. The device may perform actions based on the identified track.

A system and method tier tracking competitive driving on a driving circuit provides a unique driving experience for multiple drivers that allows a driving circuit, drivers and their vehicles, and driver statistics to be tracked, recorded, and displayed on a shared network. In some embodiments, the system and method provide a software application that enables multiple drivers to simultaneously drive on the same driving circuit, and on the same network. The driving circuit is a real public roadway that is digitally displayed, along with the position of each driver. The driving circuit is defined by a starting point and an ending point, and the position of the drivers is also visible on the driving circuit. Further, multiple driver statistics are recorded and displayed on the network for all to see.

A method for regulating vehicle access comprises receiving, from an electronic device of a user, a request to access a vehicle. The vehicle can be disposed at a designated geographic location. Next, geographic information of the user is received from the electronic device. The geographic information is determined with the aid of the electronic device of the user. The user is then provided access to the vehicle if, based on the received geographic information, a geographic location of the user is within a given distance from the designated geographic location of the vehicle.

A method, a device, and a system for processing information of a vehicle are disclosed. In the embodiments, information about a connected vehicle is acquired, and a display image of a virtual vehicle is generated; driving information of the connected vehicle is acquired; whether the vehicle is currently in a driving state is determined according to the driving information; and when the connected vehicle is in the driving state, an orientation of a head of the virtual vehicle is adjusted to keep consistency with an orientation of a head of the connected vehicle; and when the connected vehicle is in a non-driving state, an orientation of a head of the virtual vehicle is adjusted towards a location of the connected vehicle. The present disclosure can feed back a vehicle condition in real time, dynamically and truly, and position a vehicle more accurately.

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.

A system receives confirmation that a vehicle has accepted automatic control imposition for a drive within a geo-fenced boundary. The system tracks travel of a plurality of vehicles, including the vehicle, within the geo-fenced boundary. The system may determine that the vehicle has a threshold likelihood of encountering at least one of another vehicle or a boundary of the geo-fence at a threshold speed or above and responsive to the determination, impose automatic control on the vehicle, including at least one of controlled braking or speed limiting.

System and methods for real-time virtual visual in-route vehicle monitoring. System and methods herein provide novel means of monitoring global positioning equipped vehicles, in that tamper-proof identifiers registered on vehicle topsides are electronically imaged by aerospace imaging devices, including manned or unmanned aerospace vehicles or satellites. Transponders of in-route vehicles and aerospace imaging devices correspond, said digital images digitally relay to parabolic antennas, relay to connected networks such as the World Wide Web, are transmitted therein and interfaced in real-time via end-users utilizing computerized devices and applications for purposes of real-time virtual visual in-route vehicle monitoring. Crowdsourced end-users are supplied directives and means via a computerized application alert icon to engage said alert icon in order to alert authorities upon occurrences of specified events such as, vehicle well-being concerns, security or terrorism events.

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

A system includes an autonomous vehicle (AV) comprising a sensor, a control subsystem, and an operation server. The control subsystem receives sensor data comprising location coordinates of the AV from the sensor. The operation server detects an unexpected event from the sensor data, comprising at least one of an accident, an inspection, and a report request. The operation server receives a message from a user comprising a request to access particular information regarding the AV and location data. The operation server associates the AV with the user if the location coordinates of the AV match location data of the user. The operation server establishes a communication path between the user and a remote operator for further communications.

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.