In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.

[Object] [Solving Means] A moving body according to an embodiment of the present technology includes an imaging unit, a first detection unit, and a control unit. The first detection unit detects a front direction of the moving body. The control unit controls a posture around a first axis of the imaging unit to a posture specified by a steering apparatus based on an output of the first detection unit, an output of a second detection unit that detects a front direction of the steering apparatus that steers the imaging unit, and input data generated by the steering apparatus.

A bio-hybrid odor-localizing autonomous air vehicle includes an airborne robotic platform having a navigation platform, a wireless transmitter communicatively coupled to a management console, and a biological sensor mounted on the airborne robotic platform that reacts to at least one olfactory odor. A controller is communicatively coupled to the airborne robotic platform, the navigation platform, and the biological sensor. The controller monitors the biological sensor. In response to the biological sensor detecting the at least one olfactory odor, the controller directs the airborne platform to three-dimensionally map an olfactory plume of the at least one olfactory odor using an olfactory-driven search pattern. The controller stores the three-dimensional map for later retrieval or transmits the three-dimensional map of the olfactory plume to the management console via the wireless transmitter.

Systems, assemblies, and methods for conveniently operating marine devices associated with a watercraft are provided herein. An example system includes a controller, a sensor module, and a marine device. The controller is configured to receive a user input indicating a desired action via the sensor module and transmit a signal to the marine device to cause the marine device to operate in a particular manner. The sensor module may include one or more motion sensors, and the controller may be configured to filter unintentional movement from the raw motion data sensed by the sensor module, such as due to movement of the watercraft floating on the surface of the water. Thus, the system may enable convenient and intuitive control over various marine devices associated with the watercraft.

A control method and device of a movable platform, a movable platform, and a storage medium are provided. The control method may include acquiring a control amount for controlling the movable platform; converting the control amount into control instruction of the movable platform based upon a position of the movable platform and a position of a target object photographed by the movable platform; and controlling the movable platform to move relative to the target object according to the control instruction.

A remote parking system performs remote parking in which a vehicle is moved from a current position and parked by remote parking. In the remote parking system, a remote controller can be carried outside the vehicle, issues an instruction for remote parking by being operated by an operator, and includes a display screen that displays a state of remote parking. An imaging apparatus captures a peripheral image of the vehicle. A control unit inputs imaging data from the imaging apparatus, and includes an image generating unit that generates an image to be displayed on the display screen based on the imaging data. The image generating unit generates, as a remote parking image, an image in a direction along a line of sight in which a vehicle direction is viewed from the operator. The image includes a blind spot position positioned on a side opposite the operator relative to the vehicle.

A retrofit kit for a power machine can include a detection module configured to be removably secured to the power machine to detect objects around the power machine. A control module can be configured to receive detected object data from the detection module and control the display module based on the detected object data to provide one or more indicators of an object detected by the detection module.

In some examples, an unmanned aerial vehicle (UAV) may determine, based on a three-dimensional (3D) model including a plurality of points corresponding to a scan target, a scan plan for scanning at least a portion of the scan target. For instance, the scan plan may include a plurality of poses for the UAV to assume to capture images of the scan target. The UAV may capture with one or more image sensors, one or more images of the scan target from one or more poses of the plurality of poses. Further, the UAV may determine an update to the 3D model based at least in part on the one or more images. Additionally, the UAV may update the scan plan based at least in part on the update to the 3D model.

A method according to the present disclosure comprises acquiring a plurality sets of traveling video recorded by a plurality of cameras capturing a plurality of directions equipped in a remote driving vehicle, acquiring information regarding at least one of driving operation by a remote driving operator, a traveling state of the remote driving vehicle, and motion of the remote driving operator, specifying an attention direction or an attention scope of the remote driving operator for a situation around the remote driving vehicle based on acquired information, displaying at least one of the plurality sets of traveling video reflecting the attention direction or the attention scope on a display device, and performing display based on the attention direction or the attention scope.

A system for autonomous flight collision avoidance in ana electric aircraft, where the system includes an electric aircraft. The electric aircraft includes a at least a sensor coupled to the electric aircraft, where the at least a sensor coupled to the aircraft is configured to detect an obstacle in the electric aircraft's flight path and transmit the obstacle to a flight controller. The electric aircraft also includes a flight controller where the flight controller is configured to receive the obstacle from the at least a sensor coupled to the electric aircraft, determine an adjusted flight path as a function of the obstacle, and transmit the adjusted flight path to a pilot display. The system further includes a pilot display, where the pilot display is configured to receive the adjusted flight path form the flight controller and display the adjusted flight path to a user.