An example operation includes providing an alert related to an event based on a difference related to a speed and an angle of an element exiting in a first zone around a transport and entering a second zone within the first zone, if the difference is above a threshold.

A system includes a camera aimed externally to a vehicle, a window of the vehicle, a projector positioned to project on the window, and a computer communicatively coupled to the camera and the projector. The computer is programmed to, upon receiving data from the camera indicating a first person outside the vehicle, instruct the projector to project an image on the window depicting a second person inside the vehicle.

An information processing apparatus is mounted in a delivery automatic driving vehicle with a monitoring device for remote monitoring. The information processing apparatus includes a controller that suppresses a monitoring function of the monitoring device when determining that a delivery person does not exist inside the automatic driving vehicle in a stopped state of the automatic driving vehicle.

A transport trolley for consignments having wheels which define a contact plane for moving the trolley, having a load compartment for receiving consignments during transport, and having a shelf for carrying consignments. The shelf can be adjusted from a lower non-use position arranged in the load compartment into an upper, moderate use position arranged outside the load compartment, and back. The shelf can be adjusted from a lower non-use position arranged in the load compartment into an upper, elevated use position arranged outside the load compartment, and back. The moderate use position and the elevated use position are arranged in a range between 1.0 m and 1.7 m above the contact plane. The elevated use position is arranged above the moderate use position, and a drive is provided for at least partially adjusting the height of the shelf above the contact plane.

Systems and methods are disclosed herein for implementation of a vehicle command operation system that may use multi-modal technology to authenticate an occupant of the vehicle to authorize a command and receive natural language commands for vehicular operations. The system may utilize sensors to receive data indicative of a voice command from an occupant of the vehicle. The system may receive second sensor data to aid in the determination of the corresponding vehicular operation in response to the received command. The system may retrieve authentication data for the occupants of the vehicle. The system authenticates the occupant to authorize a vehicular operation command using a neural network based on at least one of the first sensor data, the second sensor data, and the authentication data. Responsive to the authentication, the system may authorize the operation to be performed in the vehicle based on the vehicular operation command.

A vehicle control device includes: a first behavior mode recognition unit that executes a first behavior mode recognition process of recognizing a first behavior mode of a target person based on an image captured by a first camera having a first resolution; a second behavior mode recognition unit that, when a distance between the vehicle and the target person is equal to or less than a predetermined distance, recognizes a second behavior mode of the target person based on an image captured by a second camera having a second resolution higher than the first resolution; a target person behavior recognition unit that recognizes a behavior of the target person against a vehicle based on the first behavior mode and the second behavior mode; and a control unit that executes predetermined control on the vehicle based on the behavior of the target person.

Disclosed systems and methods include receiving an image, processing the image with a depth estimation module to generate a first depth map, generating a foreground mask of the image, inpainting regions of the image, generating a second depth map based on the inpainted regions of the image, comparing histograms of the first and second depth maps, and generating proximity warnings based on the comparison of the histograms.

A vehicle door lock system includes: a door lock; a vehicle event sensor; and a processing circuitry, the processing circuitry is configured to cause the vehicle door lock system to generate first triggering event data, indicative of a first triggering event detected by the vehicle event sensor, caused by a movement of an object onto, or in the vicinity of, the vehicle, at a first time, obtain, from a portable electronic device, second triggering event data, indicative of a second triggering event caused by a movement of the portable electronic device, at a second time, determine if the first triggering event and the second triggering event both occurs within a predetermined time period by comparing the first triggering event data and the second triggering event data.

A vehicle including a locking member configured to lock and unlock a door of the vehicle, a manipulation member provided on a handle of the door, a camera configured to obtain an image, a communicator configured to communicate with an external device, and a controller including a facial recognition processor configured to recognize a face based on image information obtained by the camera, and an authentication processor configured to perform a user authentication based on the face information , the controller being configured to obtain distance information of the external device based on a signal received by the communicator, transmit a booting instruction to the facial recognition processor based on the distance information, transmit a facial recognition instruction to the facial recognition processor based on the distance information after the booting is completed, and control operation of the locking member based on user authentication information and a manipulation signal.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.