Techniques for providing real-time vehicle surveillance is disclosed. An in-vehicle surveillance device continuously captures images from the surroundings of a vehicle and the interior of the vehicle and transmits them to a surveillance management system. The images are processed in real-time using machine learning modules to determine primary, secondary, and adverse events. Upon determining the events, alerts are generated and sent to a display unit provided on the in-vehicle surveillance device to improve the safety of the passengers. The techniques further allow vehicle-to-vehicle communication and vehicle to third party device communication upon determining an event.

The invention discloses a method, system and related device of implementing vehicle automatic loading and unloading, so as to achieve the automatic loading and unloading of the unmanned vehicle. The method includes: controlling, by a vehicle controller, a vehicle to drive automatically and stop at a loading and unloading position; obtaining, by a loading and unloading control apparatus corresponding to the loading and unloading position, vehicle identification information of the vehicle; verifying the vehicle identification information and controlling a loading and unloading machine to load and unload when the verification succeeds; sending a loading and unloading completion indication to the vehicle controller after the loading and unloading is completed; and controlling, by the vehicle controller, the vehicle to leave the loading and unloading position when receiving the loading and unloading completion indication.

The invention discloses a method, system and related device of implementing vehicle automatic loading and unloading, so as to achieve the automatic loading and unloading of the unmanned vehicle. The method includes: controlling, by a vehicle controller, a vehicle to drive automatically and stop at a loading and unloading position; obtaining, by a loading and unloading control apparatus corresponding to the loading and unloading position, vehicle identification information of the vehicle; verifying the vehicle identification information and controlling a loading and unloading machine to load and unload when the verification succeeds; sending a loading and unloading completion indication to the vehicle controller after the loading and unloading is completed; and controlling, by the vehicle controller, the vehicle to leave the loading and unloading position when receiving the loading and unloading completion indication.

Systems and methods are provided herein for managing a vehicle fleet based on compliance regulations, and, in some embodiments, involve blockchain or other distributed ledger technologies. Systems and methods for managing a vehicle fleet based on compliance regulations may include receiving a service request, wherein the service request is a request for a passenger ride or a request for a cargo transport, receiving first information for a first node, wherein the first information comprises a vehicle size, a vehicle weight, and/or a number of seats, receiving second information comprising a first threshold number of vehicle occupants and/or a first threshold vehicle occupant weight limit, determining that the first threshold number of vehicle occupants or the first threshold vehicle occupant weight limit are exceeded, and sending an indication that the first node has not accepted the service request.

Systems and methods are provided herein for managing a vehicle fleet based on compliance regulations, and, in some embodiments, involve blockchain or other distributed ledger technologies. Systems and methods for managing a vehicle fleet based on compliance regulations may include receiving a service request, wherein the service request is a request for a passenger ride or a request for a cargo transport, receiving first information for a first node, wherein the first information comprises a vehicle size, a vehicle weight, and/or a number of seats, receiving second information comprising a first threshold number of vehicle occupants and/or a first threshold vehicle occupant weight limit, determining that the first threshold number of vehicle occupants or the first threshold vehicle occupant weight limit are exceeded, and sending an indication that the first node has not accepted the service request.

Upon identifying a plurality of target regions for a monitored region, priority levels for the respective target regions are determined based on a user input. Vehicle sensors that are available to monitor the respective target regions are determined based on the priority levels for the respective target regions and parameters for the respective vehicle sensors. Based on the available vehicle sensors and the priority levels for the respective target regions, a pose is determined for a vehicle that optimizes monitoring of the target regions. The vehicle is operated to the pose.

Upon identifying a plurality of target regions for a monitored region, priority levels for the respective target regions are determined based on a user input. Vehicle sensors that are available to monitor the respective target regions are determined based on the priority levels for the respective target regions and parameters for the respective vehicle sensors. Based on the available vehicle sensors and the priority levels for the respective target regions, a pose is determined for a vehicle that optimizes monitoring of the target regions. The vehicle is operated to the pose.

A device receives location data that identifies geographic locations of a vehicle at corresponding times, and speed data that identifies respective speeds of the vehicle at the set of corresponding times. The device identifies, based on the location data, speed limit data that identifies respective speed limits at the geographic locations. The device determines, based on the respective speeds and the respective speed limits, a set of respective relative speed values associated with the vehicle. The device identifies respective relative speed values, of the set of respective relative speed values, that exceed a threshold. The device determines, based on the respective relative speed values, a univocal speed indicator that represents an overall degree to which the respective relative speed values exceed the threshold, during a time interval that includes the corresponding times. The device performs a set of actions based on the univocal speed indicator.

Vehicles can be equipped to operate in both autonomous and occupant piloted mode. Refueling stations can be equipped to refuel autonomous vehicles without occupant assistance. Refueling stations can be equipped with a fueling control computer that communicates with vehicles via wireless networks to move vehicles between waiting zones, service zones and served zones. Refueling stations can include liquid fuel, compressed gas and electric charging.

Vehicles can be equipped to operate in both autonomous and occupant piloted mode. Refueling stations can be equipped to refuel autonomous vehicles without occupant assistance. Refueling stations can be equipped with a fueling control computer that communicates with vehicles via wireless networks to move vehicles between waiting zones, service zones and served zones. Refueling stations can include liquid fuel, compressed gas and electric charging.