A travelling support system includes a receiving unit configured to receive parked/stopped vehicle information indicating a detection of a parked/stopped vehicle on a travelling road from a preceding vehicle which is travelling or a sensor on the travelling road; and a predicting unit that predicts, based on the parked/stopped vehicle information and a duration predicting model that predicts a parked/stopped duration as a duration in which the parked/stopped vehicle continues to park or stop, the parked/stopped duration.

A method, apparatus, and system for planning a deceleration trajectory based on a natural deceleration profile for an autonomous driving vehicle (ADV) is disclosed. In one embodiment, in response to a request for driving in a natural deceleration mode, a current speed of the ADV is determined. A speed guideline is generated based on a predetermined natural deceleration profile associated with the ADV in view of the current speed of the ADV. A speed planning operation is performed by optimizing a total cost function based on the speed guideline to determine speeds of a plurality of trajectory points along a trajectory planned to drive the ADV. A number of control commands are generated based on the speed planning operation to control the ADV with the planned speeds along the trajectory, such that the ADV naturally slows down according to the predetermined natural deceleration profile.

Systems and methods are provided for simulating rev-matching in hybrid electric vehicles (HEVs). In particular, increased engine response is provided while downshifting during acceleration. The transmission of an HEV may include an electronic control unit that controls the speed of the engine to simulate gears, and increases the speed of the engine responsive to a driver using the gear selector to shift from one of the simulated gears to a lower one of the simulated gears, thereby providing the desired rev-matching experience. The increased engine response can be reflected in a target engine speed that is calculated based on specific gear ratios associated with each of the simulated gears.

The invention relates to method of operating a fleet of autonomous vehicles at a work site having a loading area at which a loading device is provided for loading material onto said autonomous vehicles. The method includes controlling a first vehicle to drive in a first driving mode until it reaches a start position of the loading area, deactivating the first driving mode by controlling the first vehicle to be positioned in the loading area in a second driving mode, controlling a second vehicle to come into contact with and to push the first vehicle along the loading area and past the loading device for loading material onto the first vehicle as the first vehicle passes by the loading device, and reactivating the first driving mode of the first vehicle when the second vehicle has pushed the first vehicle to an end position of the loading area.

An information processing apparatus according to an embodiment of the present technology includes a sub-goal setting unit, a local-route planning unit, and a speed planning unit. The sub-goal setting unit sets a sub-goal on the basis of environment information including position information of a set destination, map information of a travel environment of a mobile apparatus, and self-position information of the mobile apparatus. The local-route planning unit plans a movement route of the mobile apparatus on the basis of the sub-goal. The speed planning unit plans a speed of the mobile apparatus at an end point of a route extended by a predetermined length from the sub-goal.

An autonomous traveling body includes a vehicle body, a mover, an obstacle detector, a traveling controller, and a storage. The mover causes the vehicle body to travel. The traveling controller controls the mover based on a detection result of the obstacle by the obstacle detector. The storage stores an obstacle detection area around the vehicle body. The obstacle detection area includes a stop area having a predetermined width with the traveling direction of the vehicle body as an axis, and first and second deceleration areas excluding the stop area. When at least a portion of the obstacle is included in the stop area, the traveling controller stops the vehicle body. When at least a portion of the obstacle is included in the first deceleration area or the second deceleration area, the traveling controller reduces the traveling speed of the vehicle body.

A method and system provide the ability to manage an orchard. Sensor data that represents a first state of the orchard is captured via one or more sensors. The sensor data is captured as the one or more sensors are traveling through the orchard. An almanac is maintained. The almanac provides a state library of sequential states of a representative orchard and a task library for one or more tasks to be performed to transition between the sequential states. A task manager queries the almanac to identify a first task of the one or more tasks and allocates the first task to one or more robots that perform the first task.

The invention relates to an agricultural attachment for cultivating row crops, comprising a row-detection device designed to detect, during a cultivation process, locations and/or courses of rows of plants on farmland, and a signal generating device designed to generate steering commands for a drive vehicle to which the attachment is attached, in accordance with the locations and/or courses of the rows of plants detected by the row-detection device.

A robotic vehicle (10) may include a chassis supporting a storage tank in which an aqueous solution is contained, a mobility assembly operably coupled to the chassis to provide mobility for the robotic vehicle about a service area (20), a positioning module (60) configured to provide guidance for the robotic vehicle (10) during transit of the robotic vehicle (10) over the service area (20), a spray assembly (90) and control circuitry (12).

An unmanned vehicle control method for setting a permitted area where traveling is permitted for each unmanned vehicle, the unmanned vehicle control method includes: acquiring unmanned vehicle data including position data of the unmanned vehicle; acquiring road surface condition data of a travel path on which the unmanned vehicle travels; and generating data including a permitted area in the travel path of the unmanned vehicle, a stop point in the permitted area, and a target traveling speed for the unmanned vehicle to stop at the stop point on a basis of the unmanned vehicle data that has been acquired, wherein the permitted area is set on a basis of the road surface condition data of a predetermined area including the stop point.