Systems and methods for enhanced user interface generation for parking based on occupancy machine learning model. An example method includes obtaining images from a multitude of image sensors positioned about a vehicle; computing a forward pass through an occupancy network to output, at least, information reflecting, for individual angular ranges about the vehicle, whether an object is within a threshold distance of the vehicle for an individual range along with an estimated distance to the object; and causing presentation, via a display of the vehicle, of a user interface depicting a graphical representation of the vehicle and the output information.

Systems, apparatus, and methods implemented in algorithms, software, firmware, logic, or circuitry may be configured to process data and sensory input in real-time to detect an object. In particular, a method may include determining a predicted object path of the object. The method may further include determining a predict point of impact between the autonomous vehicle and the object based in part on the predicted object path. The method may further include identifying a preferred point of impact that is associated with a safety system disposed on the autonomous vehicle. The method may further include causing the autonomous vehicle to perform a maneuver based in part on the preferred point of impact.

A work screen display system including a position information obtaining unit for obtaining position information on a work vehicle based on positioning correction information supplied from a first reference station; a region shape determination unit for determining a shape of a specific region where the work vehicle performs autonomous travel, based on positioning correction information supplied from a second reference station; and a display control unit for displaying, on a display unit, a specific region indication section indicating the specific region determined by the region shape determination unit. The display control unit displays the specific region indication section in a display mode that varies between a case where the first and second reference stations are identical and a case where the first and second reference stations are not identical.

It is possible to notify an operator of a change in radio wave intensity in addition to the radio wave intensity received by a remotely operating vehicle. A radio wave is transmitted to and received from a vehicle to operate the vehicle. A communication device 14 includes a display unit 21 configured to display information, in which the display unit 21 is capable of displaying a first image 22 representing first radio wave intensity which is radio wave intensity of a radio wave being currently received by the vehicle, and a second image 32 representing information on a change in the first radio wave intensity.

Methods and systems are described for new paradigms for user interaction with an unmanned aerial vehicle (referred to as a flying digital assistant or FDA) using a portable multifunction device (PMD) such as smart phone. In some embodiments, a method for synchronizing video and audio is described. The method includes capturing video of a physical environment, receiving first audio of the physical environment captured by a first microphone of a first distributed electronic device, and synchronizing the video of the physical environment with the first audio of the physical environment.

A system of underwater swarm of robotic fish for monitoring and telepresence. The system comprising a floating platform communicatively coupled to a controller, a submersible sinker communicatively coupled to the floating platform, and a plurality of underwater drones communicatively coupled to the submersible sinker. The controller is configured to receive instructions from an operator for remotely exploring an underwater environment using the submersible sinker and the plurality of underwater drones, transmit the instructions to the plurality of underwater drones via the floating platform and the submersible sinker, the instructions directing the plurality of underwater drones to navigate the underwater environment and collect data, receive the collected data from the plurality of underwater drones via the floating platform and the submersible sinker, and display the collected data to the operator via a virtual display.

The present invention relates to a method for preparing for harvesting of forest using an un-manned vehicle (100) configured to move under the canopy in a forest region, the method comprising: for each of at least one object (110) within the forest region: obtaining, using at least one sensor (120) of the un-manned vehicle (100), information associated with the object (110); assigning an object identity (ID) to the object (110) based on the obtained sensor information, using processing circuitry (210) comprised in or accessible to the un-manned vehicle (100); and 10associating a marker (130) with the object (110) and the obtained sensor information or the object identity (ID) assigned to the object (110). The invention also relates to an un-manned vehicle, a harvesting system and a non-transitory computer-readable storage medium.

An information map is obtained by an agricultural system. The information map maps values of a characteristic to different geographic locations in a field. An in-situ sensor detects machine setting values as a mobile machine moves through the field. A predictive map generator generates a predictive map that predicts the machine setting at different locations in the field based on a relationship between the values of the characteristic and the machine setting values detected by the in-situ sensor. The predictive map can be output and used in automated machine control.

A method for operating or interacting with a mobile robot includes determining, using at least one processor, a mapping between a first coordinate system associated with a mobile device and a second coordinate system associated with the mobile robot, in which the first coordinate system is different from the second coordinate system. The method includes providing at the mobile device a user interface to enable a user to interact with the mobile robot in which the interaction involves usage of the mapping between the first coordinate system and the second coordinate system.

A vehicle control method, performed by a remote control system, includes receiving road sensor information transmitted from at least one roadside sensor when a target vehicle is on a road; generating, based on the road sensor information, a scene image depicting a scene in which the target vehicle is located; displaying the scene image through a display screen corresponding to a driving simulator; obtaining driving control operation information generated by the driving simulator in response to a driving control operation, the driving control operation information providing traveling instructions based on the driving control operation information for the target vehicle; and transmitting the driving control operation information to the target vehicle.