Techniques for multi-modal contextualization of object detection for use with an agricultural vehicle are described herein. The techniques can provide additional context information to radar detection to assess the likelihood of an object detected by radar of being an object of interest. Examples of detection that might be detected by a radar sensor that, based on the additional context information, the agricultural vehicle can make a determination to ignore can include ground targets, ghost targets, side or overhead reflections from obstacles, detections from tall crops/weeds in a field.

Systems and methods for avoiding collision between a mining vehicle and a personnel identifier system are provided. The personnel identifier system is configured to transmit an identification of the personnel identifier system. The system includes a vehicle system, which has one or more detection subsystems and a controller. Each of the detection subsystems is configured to determine a proximity of the personnel identifier system and receive the identification of the personnel identifier system from the personnel identifier system. The controller is configured to, based on the determination of the proximity of the personnel identifier system relative to the one or more detection subsystems and the identification of the personnel identifier system, diagnose an operating status of each of the one or more detection subsystems.

An operation management system including a computer configured to manage operations of registered mobilities. The computer stores road surface information in association with a position in map data based on at least a detection result of a surroundings monitoring device and positional information received from a measurement mobility. The computer stores, as a detail detection area, at least one of a poor detection area in the map data in which detection of the road surface information by the measurement mobility is poor and a predetermined area in the map data. The computer transmits, to the measurement mobility that is scheduled to travel or that is traveling the detail detection area, a speed change command, such that the measurement mobility, which travels at a normal command speed by automated driving, travels the detail detection area at a specific speed lower than the normal command speed.

A control system controls a system including an autonomously movable mobile robot. The mobile robot includes a light-emitting unit. The mobile robot is configured to determine the traveling state of the mobile robot associated with a traveling environment of the mobile robot, and to control the light-emitting unit to emit light in different light emission patterns depending at least on whether the determination result indicates that there is an abnormality or there is no abnormality.

A moving object management device manages a plurality of moving objects, each moving object having a remote control function to move by remote control. The moving object management device includes an information acquisition unit configured to acquire vulnerability information regarding vulnerability of the remote control function; and a disablement instruction unit configured to instruct a moving object having the vulnerability extracted by using the vulnerability information to disable the remote control function.

A mobile robot and a safety control system therefor. The safety control system includes a first monitoring circuit to movement data of the mobile robot; a second monitoring circuit to monitor whether the mobile robot collides with an obstacle; a third monitoring circuit to monitor whether an obstacle exists within a preset range of the mobile robot; a safety control circuit to generate a first safety instruction based on the movement data, a second safety instruction based on the collision signal, a third safety instruction based on the alarm signal, and a fourth safety instruction based on state information of the safety input device; a servo circuit to receive and execute a corresponding safety instruction; and a main control board to output a drive control signal to the servo circuit, for causing the servo circuit to control a motor of the mobile robot based on the drive control signal.

A wearable human-machine interface device includes a base, a finger, a sensor, and an interface controller. The finger extends longitudinally from the base and including first and second rigid finger segments. A proximal end of the first finger segment is coupled to the base, and a proximal end of the second finger segment is coupled to a distal end of the first finger segment by a joint. The joint is adapted to enable rotational movement of the second finger segment relative to the first finger segment. The sensor is coupled to the finger and configured to provide a sensor signal representative of a position and/or movement of the second finger segment relative to the first finger segment. An interface controller is configured to provide a control signal representative of a flexion of the finger and/or a position of a fingertip of the finger based on the sensor signal.

A mobile terminal is operated by an operator to remotely support a moving body, and includes a communication device, a touch panel, and a processor. A motion of the moving body is controlled in accordance with an operation of the operator tilting the mobile terminal while touching the touch panel. The processor is configured to: determine, as a reference angle in a specific rotation direction of the mobile terminal, a tilt angle in the specific rotation direction at a time point of detection of a touch by the operator on the touch panel; generate a control signal for the motion based on the reference angle and the tilt angle in the specific rotation direction during a control validity period in which the touch is continued from the time point of the detection; and transmit the generated control signal to the moving body via the communication device.

A controller in a vehicle control system includes a communication state determiner that determines a communication state between a facility communicator and a vehicle communicator in each vehicle, and a recorder. When the communication state determiner determines that the communication state between the facility communicator and the vehicle communicator in any vehicle has a communication failure, the controller obtains vehicle state information indicating a state of a target vehicle being the vehicle having the communication failure at at least one data obtaining point in a target period including at least one of a failure-occurrence point or a failure-recovery point of the communication failure, and records the vehicle state information in the recorder.

A processing method, which is executed by a processor to execute a process associated with automated driving of a moving body, includes: extracting, from dynamic data embedded in association with traveling points of the moving body on a digital map, automated driving data representing an automated driving state of the moving body at an analysis traveling point and sound evaluation data representing evaluation by a sound from an operator regarding the automated driving state at the analysis traveling point; and generating, based on the automated driving data, factor analysis data correlated with the sound evaluation data as a result of analyzing a factor of the automated driving state at the analysis traveling point. The generating of the factor analysis data includes: selecting the automated driving data correlated with the sound evaluation data; and generating the factor analysis data based on the selected automated driving data.