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.

According to one embodiment, an information processing device includes: a first memory; a first receiver; a first determination section; and a first transmitter. The first memory is configured to store first image data of interior of a vehicle at a first point in time. The first receiver is configured to receive second image data of the interior of the vehicle at a second point of time from the vehicle. The first determination section is configured to determine whether a change has been caused in the interior of the vehicle between the first point in time and the second point in time. The first transmitter is configured to transmit first data based on the determination result.

An abnormality determination apparatus is mounted on a vehicle. A person is identified in a captured image acquired from a camera that captures a range including a driver seat of the vehicle. It is determined whether a person other than the driver of the vehicle is present in an operable range set as a range in which a steering wheel of the vehicle is enabled to be operated, based on a result from identifying a person. An abnormality process assuming that the driver of the vehicle is in an abnormal state is executed in response to determining that the person other than the driver is present in the operable range.

A frame control system for an agricultural implement includes a first sensor configured to be coupled to a sub-frame of the agricultural implement and directed toward a soil surface. The first sensor is configured to emit a first output signal toward the soil surface and to receive a first return signal indicative of a first height of the sub-frame above the soil surface. The frame control system also includes a first sub-frame actuator configured to be coupled to the sub-frame and to a main frame of the agricultural implement. The first sub-frame actuator is configured to control a first position of the sub-frame relative to the main frame along a vertical axis. In addition, the frame control system includes a controller configured to control the first sub-frame actuator such that a difference between the first height and a target height is less than a threshold value.

A traffic controlling system is provided that can include a platform, a sensor, and a control unit. The platform can have a top side, a locomotion system, and a receiving area. The locomotion system can be configured to move the platform into a preselected position. The receiving area configured to receive a traffic indicator module. The sensor, which can include a camera, can be configured to generate location data of the platform. The camera can capture or record surrounding data for navigational purposes or for other highway traffic control and monitoring purposes. The control unit can be configured to receive the location data. The control unit can also be configured to determine if the platform is in the preselected position. The control unit can be further configured to execute instructions including the pathway that the platform needs to travel to be positioned in the preselected position.

A method used for generating a zoomable diagram includes providing a topology diagram of at least a part of the industrial plant for interacting with components of the industrial plant; generating, for each zoom-level of the zoomable diagram, a zoomed diagram comprising a zoomed view of each one of the plurality of objects and connections, by applying at least following rules to each object: from a first predefined zoom-level, collapse all objects of a plant-segment to one object and keep only connections that cross the plant-segment's border, and introduce an plant-segment related alarm measure as a function of all alarm statuses of the plurality of objects of the plant-segment; and when interacting with the components of the industrial plant, determining, for each plant-segment, the plant-segment related alarm measure, and outputting the plant-segment related alarm measure for healing a cause of the alarm.

A work operation analysis system 11 includes: a deviant operation analysis unit 114 that analyzes a work video obtained by photographing work of a worker on a work process basis and, in the case where a deviant operation different from normal work has been detected, identifies the occurrence timing of the deviant operation; a work video accumulation unit (a normal work video accumulation unit 117 and a deviant work video accumulation unit 118) that accumulates a normal work video obtained by preliminarily photographing normal work and a deviant work video obtained when the deviant operation occurred; and a display unit (a display input device 111) that displays the normal work video and the deviant work video having predetermined time including the occurrence timing of the deviant operation.

A method of redeploying waste containers in a waste collection system with an active or passive signal means requires a user to aim an optical character recognition reader at a waste container comprising a unique optical waste container identifier. The optical character recognition reader reads unique waste container optical identifier. The unique waste container optical identifier is converted to a unique electronically formatted waste container identifier. A unique radio frequency signal identifier is stored on a radio frequency emitting tag and associated with the unique electronically formatted waste container identifier. The radio frequency emitting tag is attached to the waste container.

Low-power vehicle sentinel systems and methods are disclosed herein. An example method includes obtaining electromagnetic signals in a target area surrounding a vehicle. The electromagnetic signals can be obtained from electromagnetic elements mounted to the vehicle. The method can include determining attributes or behaviors of an object in the target area based on the electromagnetic signals and executing a response measure based on the attributes or behaviors of the object.

Low-power vehicle sentinel systems and methods are disclosed herein. An example method includes obtaining electromagnetic signals in a target area surrounding a vehicle. The electromagnetic signals can be obtained from electromagnetic elements mounted to the vehicle. The method can include determining attributes or behaviors of an object in the target area based on the electromagnetic signals and executing a response measure based on the attributes or behaviors of the object.