While a vehicle is in a minimal power state, a first sensor is activated based on a location of the vehicle within a monitored area. The vehicle is transitioned to an on state based on detecting an object via data from the first sensor. Then the vehicle is operated to block an exit from the monitored area based on identifying the object as an unauthorized object.

The present disclosure relates to a moving robot that generates image information by accumulating results of sensing a corner area using a 3D camera sensor, and detects an obstacle by extracting an area for identifying the obstacle from the image information, and a traveling method thereof in corner areas.

The present disclosure relates to a moving robot that generates image information by accumulating results of sensing a corner area using a 3D camera sensor, and detects an obstacle by extracting an area for identifying the obstacle from the image information, and a traveling method thereof in corner areas.

The technology relates to an exterior sensor system for a vehicle configured to operate in an autonomous driving mode. The technology includes a close-in sensing (CIS) camera system to address blind spots around the vehicle. The CIS system is used to detect objects within a few meters of the vehicle. Based on object classification, the system is able to make real-time driving decisions. Classification is enhanced by employing cameras in conjunction with lidar sensors. The specific arrangement of multiple sensors in a single sensor housing is also important to object detection and classification. Thus, the positioning of the sensors and support components are selected to avoid occlusion and to otherwise prevent interference between the various sensor housing elements.

A cleaning robot includes a detector configured to detect an obstacle; a determining circuit configured to determine whether the cleaning robot is in an obstacle obstruction state; and a controller configured to control the first drive wheel to cross an obstacle and control the second drive wheel to cross the obstacle according to a detection result when the cleaning robot is in the obstacle obstruction state, wherein the detector is further configured to detect whether the first drive wheel crosses the obstacle; and the controller is further configured to control the second drive wheel to cross the obstacle when the detector detects that the first drive wheel crosses the obstacle.

Mobile devices, control systems and programs are disclosed. In one example, a mobile device performs different processing when an approaching object is a human. The mobile device includes a control unit that performs traveling control. It receives input detection information of a sensor on the mobile device and uses that to determine whether an approaching object is a human. In the case where the control unit determines that the object is a human, the mobile device stops after setting an article mounted in the mobile device in a direction of being visible to the human. In the case where the control unit determines that the object is not a human, the control unit stops or backs the mobile device or changes a traveling direction of the mobile device so as to avoid collision with the object.

Mobile devices, control systems and programs are disclosed. In one example, a mobile device performs different processing when an approaching object is a human. The mobile device includes a control unit that performs traveling control. It receives input detection information of a sensor on the mobile device and uses that to determine whether an approaching object is a human. In the case where the control unit determines that the object is a human, the mobile device stops after setting an article mounted in the mobile device in a direction of being visible to the human. In the case where the control unit determines that the object is not a human, the control unit stops or backs the mobile device or changes a traveling direction of the mobile device so as to avoid collision with the object.

An information processing device according to the present disclosure includes an acquisition unit that acquires an arrangement of a landmark and surrounding terrain data, a first estimation unit that estimates a range in which a self-position is located on a basis of a landmark map that is a map indicating the arrangement of the landmark, and a second estimation unit that estimates the self-position from the range in which the self-position is located on a basis of a terrain data map that is a map indicating the surrounding terrain data.

An information processing device according to the present disclosure includes an acquisition unit that acquires an arrangement of a landmark and surrounding terrain data, a first estimation unit that estimates a range in which a self-position is located on a basis of a landmark map that is a map indicating the arrangement of the landmark, and a second estimation unit that estimates the self-position from the range in which the self-position is located on a basis of a terrain data map that is a map indicating the surrounding terrain data.

Systems and methods for operating a mining machine with respect to a geofence. One system includes an electronic processor configured to determine a first virtual operation zone positioned around the mobile industrial machine, where the first virtual operation zone is a dynamic area around the mobile industrial machine. The electronic processor is also configured to modify a parameter of the first virtual operation zone.