In one aspect, a method for shared access of a machine for operator training, the machine including a traction device and an implement, includes receiving an authorization from an access device to share access to the machine, and entering a shared control state based on at least the authorization received from the access device. The method also includes receiving commands from a remote operation device during the shared control state and operating at least one of the traction device or the implement of the machine based on at least the commands from the remote operation device while an operator is present in the machine.

The disclosure is generally directed to remotely-controlled automated vehicle parking operations. A driver of a vehicle stands on a curb and launches a software application on a handheld device. The software application uses a camera of the handheld device to capture images of the vehicle that can be observed by the driver. The software application then attempts to obtain a visual lock between the camera and the vehicle. In some cases, obtaining the visual lock may be hampered due to adverse lighting conditions. Light may be transmitted from the handheld device to illuminate the vehicle for better image capture. Alternatively, a command can be transmitted from the handheld device to a controller in the vehicle for turning on a light in the vehicle. After obtaining visual lock, various techniques such as vehicle path prediction and interpolation, can be used for effectively tracking the vehicle.

A method, an apparatus for continuous path planning, a computer device, and a storage medium. The method designs the optimization function based on the rapidly exploring random tree to plan path, and the optimal path is screened out from the random tree according to target function including the reconstruction completeness optimization function, the path effectiveness optimization function, and the path smoothness optimization function when the reconstruction degree of the preset sampling points is determined to meet the preset requirement.

A row vision system modifies automated operation of a vehicle based on edges detected between surfaces in the environment in which the vehicle travels. The vehicle may be a farming vehicle (e.g., a tractor) that operates using automated steering to perform farming operations that track an edge formed by a row of field work completed next to the unworked field area. A row vision system may access images of the field ahead of the tractor and apply models that identify surface types and detect edges between the identified surfaces (e.g., between worked and unworked ground). Using the detected edges, the system determines navigation instructions that modify the automated steering (e.g., direction) to minimize the error between current and desired headings of the vehicle, enabling the tractor to track the row of crops, edge of field, or edge of field work completed.

This information processing method causes a computer to execute: obtaining, via communication, information regarding the state of a mobile body capable of autonomous driving and manually controlled remote driving; determining a first operation control, which is included in operation control of the mobile body and involves a manually controlled remote operation, based on the information regarding the state of the mobile body when the mobile body is switched from the autonomous driving to the manually controlled remote driving; and causing the mobile body to operate based on the manually controlled remote operation corresponding to the first operation control, and causing the mobile body to perform a second operation control different from the first operation control.

In a vehicle traveling remote control system, vehicles and a remote control apparatus communicate with each other to repeatedly transmit, from the remote control apparatus to each vehicle, a remote control value to be used to control traveling of each vehicle. The vehicle traveling remote control system includes the remote control apparatus and a traveling control unit. The remote control apparatus includes a remote control value generating unit that repeatedly generates the remote control value for traveling control of each vehicle. The traveling control unit is provided in each vehicle and executes the traveling control based on the remote control value repeatedly received from the remote control apparatus. The remote control apparatus generates, using the remote control value generating unit, the remote control value in accordance with a priority or a target response cycle that are changed depending on a traveling environment of each vehicle.

A remote operating device includes a steering unit configured to steer a mobile body, a display unit configured to display steering information for steering the steering unit, and a control unit. The control unit includes a memory and a processor coupled to the memory. The processor is configured to acquire a steering amount of the steering unit and an actual steering amount of the mobile body when the steering unit has been steered, measure a communication lag amount from the steering amount of the steering unit and the actual steering amount of the mobile body, compute the steering information based on the communication lag amount, and cause the steering information to be displayed on the display unit.

A remote operating device including a steering unit configured to steer a mobile body, a display unit configured to display steering information, and a control unit. The control unit includes a memory and a processor coupled to the memory. The processor is configured to receive actual steering information regarding the mobile body, acquire steering information for steering the steering unit, determine a difference between the actual steering information regarding the mobile body and the steering information for steering the steering unit, and cause the steering information for steering the steering unit and the actual steering information regarding the mobile body to be displayed on the display unit based on the difference.

An unmanned ground vehicle includes a main body, a drive system supported by the main body, a manipulator arm pivotally coupled to the main body, and a sensor module. The drive system includes right and left driven track assemblies mounted on right and left sides of the main body. The manipulator arm includes a first link coupled to the main body, an elbow coupled to the first link, and a second link coupled to the elbow. The elbow is configured to rotate independently of the first and second links. The sensor module is mounted on the elbow.

A remote function selection device selects a remote function in an automated drive vehicle configured to execute automated drive and remote travel and provided with a plurality of remote functions. The remote function selection device is configured to determine whether executing the automated drive at a predetermined timing is impossible; determines the remote function that is executable at the predetermined timing when it is determined that executing the automated drive is impossible; predict an action of a target around the automated drive vehicle based on a detection result from an external sensor configured to detect the target; calculate an action prediction confidence degree for the predicted action of the target; and selects the remote function. The remote function selection device configured to select the remote function based on the calculated action prediction confidence degree when it is determined that a plurality of remote functions is executable.