A system for response mode verification according to an embodiment of the present disclosure may include a user interface device; a vehicle motion sensor located in a vehicle; a memory; and/or a processor communicably coupled to the user interface device, the vehicle motion sensor, and the memory, the memory including instructions that, when executed by the processor, cause the processor to: receive a dispatch request, receive a first indication from the user interface device based on a user indicating acceptance of the dispatch request, record an acceptance time of the first indication, receive a second indication from the vehicle motion sensor based on the vehicle motion sensor monitoring a change in movement of the vehicle, and record a vehicle motion time of the second indication, generate a notification indicating that a difference between the vehicle motion time and the acceptance time exceeds a threshold time.

A method for navigation includes receiving in a mobile computing device (24) a designation of an origin (32, 92) and a destination (34, 94) of an itinerary of a user of the device. An optimal primary route (96) is computed from the origin to the destination. Multiple points of interest (40, 98, 100) are identified in proximity to the optimal primary route. A respective first optimal sub-route (42) is computed between the origin and each of the points of interest, and a respective second optimal sub-route (44) is computed between the destination and each of the points of interest. One or more alternative routes (102, 104) from the origin to the destination via one or more of the points of interest are presented to the user on the mobile computing device, by combining the respective first and second optimal sub-routes computed for the one or more of the points of interest.

A method for determining a yaw angle estimate or vehicle heading direction is presented. A potential range of yaw angles is generated based on a plurality of primary telematics data. One or more yaw angle estimates are generated from the potential range of yaw angles. A driving pattern is determined based on at least one of the yaw angle estimates. The primary telematics data is a plurality of telematics data originated from a client computing device. The effects of gravity have been removed from the plurality of telematics data in a first primary movement window.

A method, apparatus, and terminal for obtaining a route are provided, including techniques and related apparatus for: obtaining, by a terminal, a first moment at which a signal in the terminal disappears and first location information of the terminal at the first moment, and performing dead reckoning starting from the first moment; obtaining, by the terminal, a second moment at which a user sends a distress signal and second location information of the terminal at the second moment, and ending the dead reckoning, to obtain a first dead reckoning curve; and determining, by the terminal, a track of a traveled route based on the first moment, the second moment, the second location information, the first dead reckoning curve, and each moment between the first moment and the second moment.

A method, apparatus, and terminal for obtaining a route are provided, including techniques and related apparatus for: obtaining, by a terminal, a first moment at which a signal in the terminal disappears and first location information of the terminal at the first moment, and performing dead reckoning starting from the first moment; obtaining, by the terminal, a second moment at which a user sends a distress signal and second location information of the terminal at the second moment, and ending the dead reckoning, to obtain a first dead reckoning curve; and determining, by the terminal, a track of a traveled route based on the first moment, the second moment, the second location information, the first dead reckoning curve, and each moment between the first moment and the second moment.

Various examples are directed to an electronic device capable of touch input through a touch-sensitive surface and/or voice input through a microphone. In some examples, the electronic device may be used in an automobile. For example, some or all of the electronic device may be mounted in a dashboard for use while driving. The electronic device may provide informational content, entertainment content, navigation, and communication features in such a manner that user interaction may be minimized, thus providing a safe driving experience. This can be accomplished by performing tasks and presenting content automatically, without the need for user input, and by allowing user input through voice controls, touch screen controls, and/or physical controls mounted on the dashboard or steering wheel, among other possibilities.

A state predicting circuitry predicts a route showing a future change in the vehicle state from among a plurality of routes from a first node to a second node. The first node corresponds to the current vehicle state. The second node corresponds to the vehicle state after having transitioned a predetermined number of times from the first node. The state predicting circuitry predicts a route in which at least one of an accumulated value of the node that exists in the routes and an accumulated value of the link that exists in the routes is greatest, from among the plurality of routes.

A method for filtering in ranging of a UAV is provided, which is based on a characteristic that velocities of the UAV change continuously during a moving process. A current velocity of the UAV is obtained via seeking difference of distances measured by the sensor, then a variance of continuous velocities is calculated and it is determined whether a current distance is valid according to the variance. The general process of the method is as follows. First, initial distances measured by the sonar sensor are acquired, secondly, it is determined whether a new distance is valid according to the initial distances, if the new distance satisfies a curtain condition, the new distance is considered to be valid and the initial distances are updated; if the new distance does not satisfy the curtain condition, a distance is estimated and used as the current distance and the initial distances are maintained.

A method for filtering in ranging of a UAV is provided, which is based on a characteristic that velocities of the UAV change continuously during a moving process. A current velocity of the UAV is obtained via seeking difference of distances measured by the sensor, then a variance of continuous velocities is calculated and it is determined whether a current distance is valid according to the variance. The general process of the method is as follows. First, initial distances measured by the sonar sensor are acquired, secondly, it is determined whether a new distance is valid according to the initial distances, if the new distance satisfies a curtain condition, the new distance is considered to be valid and the initial distances are updated; if the new distance does not satisfy the curtain condition, a distance is estimated and used as the current distance and the initial distances are maintained.

The present invention is a method for providing a collision avoidance system for an ownship, the method includes displaying a map that moves with the ownship and displays collision risk zones, extracting position and velocity measurements of platforms in the air from formatted sensor data, calculating distance from the ownship to each platform, marking radar tracks of each platform based on proximity to the ownship, assigning and displaying velocity vectors to each moving platform, and assigning and displaying different marks to each platform based on dead reckoning and potential impacts between each platform and the ownship.