A system for monitoring a tank truck operation platform and for guiding and positioning vehicles and a method of using the same, the system includes operation platforms. Each of the operation platforms is provided with a lifting support. The operation platform is installed with an upper-position sensor, a lower-position sensor, and a stress sensor, which communicate with a central control device mounted on the operation platform. The central control device communicates with a distance meter and an in-place sensor for detecting the vehicle. The central control device may send signals to a display device, and information of platform status and vehicle position guidance are displayed on the display device to offer the driver with guidance information including whether the platform is safe and available, the moving direction of the vehicle, and position relative to the platform. Meanwhile, the central control device can receive identification information sent by the vehicle.

Aspects of the present disclosure describe systems, methods, and devices for automated vehicular control based on glare detected by an optical system of a vehicle. In some aspects, automated control includes controlling the operation of the vehicle itself, a vehicle subsystem, or a vehicle component based on a level of glare detected. According to some examples, controlling the operation of a vehicle includes instructing an automatically or manually operated vehicle to traverse a selected route based on levels of glare detected or expected along potentials routes to a destination. According to other examples, controlling operation of a vehicle subsystem or a vehicle component includes triggering automated responses by the subsystem or the component based on a level of glare detected or expected. In some additional aspects, glare data is shared between individual vehicles and with a remote data processing system for further analysis and action.

An advanced driver assistance system configured to implement one or more automotive V2V applications designed to assist a driver in driving a Host Motor-Vehicle. The advanced driver assistance system is configured to be connectable to an automotive on-board communication network to communicate with automotive on-board systems to implement one or different automotive functionalities aimed at assisting the driver in driving the Host Motor-Vehicle, controlling the Host Motor-Vehicle, and informing the driver of the Host Motor-Vehicle of the presence of Relevant Motor-Vehicles deemed to be relevant to the driving safety of the Host Motor-Vehicle. The advanced driver assistance system comprises an automotive V2V communication system operable to communicate with automotive V2V communication systems of Remote Motor-Vehicles via V2V messages containing motor-vehicle position-related, motion-related, and state-related data. The advanced driver assistance system is further configured to receive V2V messages transmitted by V2V communications systems of Remote Motor-Vehicles; identify from among the Remote Motor-Vehicles in communication with the Host Motor-Vehicle, Nearby Motor-Vehicles that may represent potential threats to the driving safety of the Host Motor-Vehicle, based on motor-vehicle position-related, motion-related, and state-related data in received V2V messages and on motor-vehicle position-related, motion-related, and state-related data of the Host Motor-Vehicle; and process the data contained in the V2V messages received from the Nearby Motor-Vehicles to identify from among the Nearby Motor-Vehicles Relevant Motor-Vehicles that may be relevant to the automotive functionalities aimed at assisting the driver in driving the Host Motor-Vehicle, controlling the Host Motor-Vehicle, at informing the driver of the Host Motor-Vehicle of the presence of Relevant Motor-Vehicles deemed to be relevant to the driving safety, and dispatch on the automotive on-board communication network a list of virtual objects containing information on the Host Motor-Vehicle and on the Relevant Motor-Vehicles, for exploitation by one or more of the functionalities aimed at assisting the driver in driving the Host Motor-Vehicle, controlling the Host Motor-Vehicle, and informing the driver of the Host Motor-Vehicle of the presence of the Relevant Motor-Vehicles deemed to be relevant to the driving safety of the Host Motor-Vehicle, or exploit the information on the Host Motor-Vehicle and on the Relevant Motor-Vehicles in the implementation of one or more of the automotive functionalities aimed at assisting the driver in driving the Host Motor-Vehicle, controlling the Host Motor-Vehicl

A history information storage apparatus includes: a storage unit that stores history information about a travel history of a vehicle and map data divided into a plurality of sections; a change detection unit that detects a change of the map data; an influence range determination unit that determines a section influenced by the change as an influenced section from among the plurality of sections; a history information control unit that temporarily invalidates the history information about the influenced section; and a navigation unit that calculates a route from a departure place to a destination in consideration of the history information and records, in the history information, a history of a travel of the vehicle which has strayed from the route.

A method for traffic prediction of a road network includes receiving past traffic information corresponding to multiple locations on the road network. The method further includes determining, by a processor and based on the past traffic information, temporal characteristics of the past traffic information corresponding to changes of characteristics over time and spatial characteristics of the past traffic information corresponding to interactions between locations on the road network. The method further includes predicting predicted traffic information corresponding to a later time based on the determined temporal and spatial characteristics of the past traffic information. The method further includes receiving detected additional traffic information corresponding to the later time. The method further includes updating the temporal characteristics of the traffic information and the spatial characteristics of the traffic information based on the predicted traffic information and the detected additional traffic information.

Disclosed is an apparatus for passenger recognition and boarding/alighting support of an autonomous vehicle. An apparatus for passenger recognition and boarding/alighting support of an autonomous vehicle according to an embodiment of the present disclosure may include a vehicle communicator configured to receive scheduled passenger information, a sensor configured to sense people outside the vehicle, and a vehicle controller configured to extract a passenger candidate group by analyzing the sensed people outside the vehicle, and calculate the number of reserved passengers using the extracted passenger candidate group and the received scheduled passenger information. One or more of an autonomous vehicle, a server, and a terminal of the present disclosure may be associated or combined with an artificial intelligence module, a drone (Unmanned Aerial Vehicle, UAV), a robot, an AR (Augmented Reality) device, a VR (Virtual Reality) device, a device associated with 5G network services, etc.

A system for guiding vehicles is provided. The system includes a first vehicle, a second vehicle, and a host terminal. The first vehicle is configured to move in a first space. The second vehicle is configured to move in a second space. The host terminal includes a computer program product and a processor. In response to the processor executing the computer program product, the host terminal performs an interactive operation with at least one of the first vehicle and the second vehicle. The interactive operation includes receiving first position information of the first vehicle; receiving second position information of the second vehicle; receiving destination information; according to the first position information, the second position information, the destination information, and environmental characteristics of a map, planning a travelling path on the map; and controlling a movement route of the first or second vehicle according to the travelling path.

Disclosed are an autonomous vehicle and a driving control system and method using the same. The method of controlling driving a vehicle according to an embodiment of the present invention includes searching for a section occupied by a section service provider in a driving route to a destination; determining whether the vehicle is a subscriber vehicle registered in a section service provided by the section service provider. When the subscriber vehicle drives a section occupied by the section service provider, the subscriber vehicle has a priority in a driving speed, compared to a non-subscriber vehicle. At least one of an autonomous vehicle, a user terminal, and a server of the present invention may be connected to or fused with an Artificial Intelligence (AI) module, a drone (Unmanned Aerial Vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to a 5G service.

A request for navigation directions for travelling from a source location to a destination location is received. Using data that was stored in a memory of a computing device prior to the request, first navigation directions for travelling from the source location to the destination location are generated, and a request for navigation directions for travelling from the source location to the destination location is transmitted to an online server. After second navigation directions for travelling from the source to the destination are received, it is determined whether a difference between the first navigation directions and the second navigation directions exceeds a threshold level. When the difference between the first navigation directions and the second directions route does not exceed the threshold level, the second navigation directions are merged into the first navigation directions.

In some embodiments, a system for resource transportation comprises a routing command subsystem. In some embodiments, the routing command subsystem is configured to be communicably coupled to a first input device at a first location, the first input device configured to determine a first resource factor of a resource at the first location and a location input device associated with a transporter, the transporter configured to transport the resource, the location input device configured to determine a transporter location. In some embodiments, the routing command subsystem is further configured to change a first endpoint of a transporter route to a first alternate location based at least in part on the first resource factor and the transporter location.