Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

Systems and methods for using autonomous vehicle assistance for freeing a vehicle from a stuck condition may include: receiving sensor data from a vehicle sensor indicating a condition of the vehicle; determining from the sensor data that the vehicle is in a stuck condition; obtaining a solution for freeing the vehicle from the stuck condition, wherein the technique is a learned solution developed based on collected data related to vehicle operator techniques for extrication; and taking over at least partial control of the vehicle from its operator and applying the learned technique to the vehicle.

The present invention makes it possible to avoid the risk of a brake operation system for emergency stopping not operating normally during autonomous travel of a work vehicle. A work vehicle is provided with: a foot brake for braking left and right rear wheels; an autonomous travel unit that enables autonomous travel of the vehicle; and an electric actuator for switching the foot brake between a braking state and a release state. The autonomous travel unit comprises a control unit for controlling the operation of the electric actuator. When an autonomous travel mode is selected by human operation of a mode selection unit, the control unit performs operation verification processing in which it is verified by operation control of the electric actuator whether the foot brake is operating normally, and when it is verified that the foot brake is operating normally in the operation verification processing, said control unit transitions to a completed operation verification state and allows the travel mode to transition from a manual travel mode to the autonomous travel mode.

A travel assistance method for performing a lane change of a host vehicle includes: detecting an oncoming vehicle traveling in an opposite lane from which the host vehicle travels when the host vehicle starts the lane change; determining a crossing point between a virtual advancing route and a linear advancing route in which the oncoming vehicle advances linearly, the virtual advancing route being a virtual extension of an advancing route of the host vehicle during a period from start to end of the lane change; executing a lane change using the route and the vehicle speed in a case where a time difference between a first predicted time and a second predicted time is outside a predetermined range; and when within the predetermined range, executing a lane change by changing at least one of the route and the vehicle speed such that the time difference is outside the predetermined range.

An amphibious vehicle having a frame that includes a plurality of floatable members. Mounted to the frame is one or more power sources. Also mounted to the frame and connected to the power source are a plurality of propellers with each of the plurality of propellers having a thrust vector configured to be adjusted to provide agitation and propulsion. In addition, mounted to the frame are a plurality of ground engaging devices and one or more pumps.

A remote control device is a remote control device configured to control one or more mobile objects via a network, which includes a receiver configured to receive mobile object information including a first state quantity of a state quantity of the mobile object and surrounding information around the mobile object, a trajectory generation unit configured to generate a target trajectory of the mobile object on the basis of the surrounding information, a mobile object estimation unit configured to estimate transmission latency of the network, a gain setting unit configured to set a control gain on the basis of the transmission latency, a control amount calculation unit configured to calculate a control amount for causing the mobile object to follow the target trajectory on the basis of the mobile object information and the control gain, and a transmitter configured to transmit the control amount to the mobile object.

Various embodiments enable a robot, or other autonomous or semi-autonomous device or system, to receive data involving the performance of a task in the physical world. The data can be provided as input to a perception network to infer a set of percepts about the task, which can correspond to relationships between objects observed during the performance. The percepts can be provided as input to a plan generation network, which can infer a set of actions as part of a plan. Each action can correspond to one of the observed relationships. The plan can be reviewed and any corrections made, either manually or through another demonstration of the task. Once the plan is verified as correct, the plan (and any related data) can be provided as input to an execution network that can infer instructions to cause the robot, and/or another robot, to perform the task.

An object of the present invention is to provide a work vehicle that can be controlled automatically. The work vehicle includes HST's for feeding power for traveling to at least either front wheels or rear wheels mounted on a traveling vehicle body, traveling levers for operating driving of at least either the front wheels or the rear wheel, traveling links operably coupling the traveling levers with the HST's, traveling drive sections for driving either the traveling levers or the traveling links, and a traveling control section configured to activate the traveling drive sections in response to receipt of a traveling instruction for the traveling levers in the automatic control mode for automatically controlling the traveling vehicle body.

A method for determining information on an expected trajectory of an object comprises: determining input data being related to the expected trajectory of the object; determining first intermediate data based on the input data using a machine-learning method; determining second intermediate data based on the input data using a model-based method; and determining the information on the expected trajectory of the object based on the first intermediate data and based on the second intermediate data.

A parking lot management device configured to manage traveling of vehicles by setting a scheduled passage time for each node indicating a travel route in a parking lot includes: an acquisition unit configured to acquire an actual passage time at which a first vehicle has actually passed a first node; a determination unit configured to determine a collision risk between a second vehicle and the first vehicle based on the actual passage time, the second vehicle being scheduled to pass, following the first vehicle, a second node that is located forward of the first node in a traveling direction of the first vehicle; and a setting unit configured to delay a first scheduled passage time at which the second vehicle passes the second node to cause the second vehicle to pass the second node following the first vehicle when it is determined that there is the collision risk.