A system for aiding water vessels needing towing. The system may comprise one or more storage machines holding instructions executable by one or more logic machines to actualize the operations of, determining an assistance requester's GPS location, determining an assistance provider's GPS location, and displaying the assistance provider's GPS location to the assistance requester. Displaying the assistance provider's GPS location to the assistance requester may include displaying a distance between the assistance requester and the assistance provider. Displaying the assistance provider's GPS location to the assistance requester may include displaying a service cost for the assistance provider's service. The assistance requester and assistance provider may be independent vessels.

A system for aiding water vessels needing towing. The system may comprise one or more storage machines holding instructions executable by one or more logic machines to actualize the operations of, determining an assistance requester's GPS location, determining an assistance provider's GPS location, and displaying the assistance provider's GPS location to the assistance requester. Displaying the assistance provider's GPS location to the assistance requester may include displaying a distance between the assistance requester and the assistance provider. Displaying the assistance provider's GPS location to the assistance requester may include displaying a service cost for the assistance provider's service. The assistance requester and assistance provider may be independent vessels.

An illustrative example embodiment of a controller associated with a container includes a processor and memory. The controller is configured to generate a derived key based on global positioning system information corresponding to a location of the controller. The controller uses the derived key to authenticate a user device.

An illustrative example embodiment of a controller associated with a container includes a processor and memory. The controller is configured to generate a derived key based on global positioning system information corresponding to a location of the controller. The controller uses the derived key to authenticate a user device.

Techniques are described for correlating entity identification information with refuse containers being serviced by a refuse collection vehicle (RCV). Location data can be collected by location sensor(s) on the RCV at a time when a triggering condition is present, such as a time when a lift arm is operating to empty a refuse container into the hopper of the RCV. The location data can be provided as input to an algorithm that estimates a container location through a vector offset to account for the distance and direction of the RCV lift arm relative to the location sensor in the RCV. The container location can be correlated with parcel data to determine the parcel that the container was on or near to when it was serviced, and the customer or other entity associated with the parcel can be correlated to the particular container based on the analysis.

Techniques are described for correlating entity identification information with refuse containers being serviced by a refuse collection vehicle (RCV). Location data can be collected by location sensor(s) on the RCV at a time when a triggering condition is present, such as a time when a lift arm is operating to empty a refuse container into the hopper of the RCV. The location data can be provided as input to an algorithm that estimates a container location through a vector offset to account for the distance and direction of the RCV lift arm relative to the location sensor in the RCV. The container location can be correlated with parcel data to determine the parcel that the container was on or near to when it was serviced, and the customer or other entity associated with the parcel can be correlated to the particular container based on the analysis.

A system for preventing abnormal acceleration of a vehicle includes a device configured such that in a state in which the vehicle is stopped while the vehicle is turned on, the device is configured to determine whether abnormal acceleration prevention is necessary based on a final destination or a current position of the vehicle before the vehicle is turned off to thereby limit a vehicle speed. The system and a method for preventing abnormal operation of the vehicle can prevent a vehicle accident due to the abnormal acceleration caused by misoperation by a driver, such as misoperation of an accelerator pedal of the vehicle.

A system for preventing abnormal acceleration of a vehicle includes a device configured such that in a state in which the vehicle is stopped while the vehicle is turned on, the device is configured to determine whether abnormal acceleration prevention is necessary based on a final destination or a current position of the vehicle before the vehicle is turned off to thereby limit a vehicle speed. The system and a method for preventing abnormal operation of the vehicle can prevent a vehicle accident due to the abnormal acceleration caused by misoperation by a driver, such as misoperation of an accelerator pedal of the vehicle.

A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.

A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.