Aspects of the disclosure relate to distributing vehicles to perform scouting. This may involve receiving a request for a scouting objective for a vehicle, and in response, identifying a set of scouting objectives that the vehicle is eligible to visit. Each scouting objective of the set is associated with one or more scouting quests, and each scouting quest is associated with a plurality of scouting objectives. For each given scouting objective in the set of scouting objectives, an overall weight may be determined using combined weights for the given scouting objective and any scouting quests with which the given scouting objective is associated. One or more scouting objectives of the set of scouting objectives may be selected using the determined overall weights. The one or more selected scouting objectives may be provided to the vehicle.

Techniques to predict object behavior in an environment are discussed herein. For example, such techniques may include determining a trajectory of the object, determining an intent of the trajectory, and sending the trajectory and the intent to a vehicle computing system to control an autonomous vehicle. The vehicle computing system may implement a machine learned model to process data such as sensor data and map data. The machine learned model can associate different intentions of an object in an environment with different trajectories. A vehicle, such as an autonomous vehicle, can be controlled to traverse an environment based on object's intentions and trajectories.

Aspects relate to methods and systems for controlling usage of parking maps for autonomous parking. In some embodiments, an exemplary system includes a computing device, configured to receive a first parking map representative of a first point of interest, wherein the first parking map comprises a first access datum, generate a first map metric associated with the first parking map, and selectively communicate the first parking map with a first remote device as a function of the first access datum.

An operation device including: an operation section configured to receive operation by a remote operator conferred with operation authority to operate a vehicle capable of autonomous driving; a communication section configured to transmit, to the vehicle, operation information for remote driving based on the operation received by the operation section; a memory; and a processor coupled to the memory, the processor being configured to: acquire biometric information regarding the remote operator, determine whether or not a compromised state, in which operation of the vehicle by the remote operator is compromised, has arisen based on the acquired biometric information, and transfer operation authority of the vehicle to another remote operator in a case in which the compromised state has been determined to have arisen.

Disclosed herein are methods and systems for operating automated vehicles to accomplish an agricultural mission according to a hierarchically computed mission plan, comprising receiving a plurality of mission parameters defining an agricultural related mission, computing a generic plan for executing the mission by one or more of a plurality of vehicle classes grouping automated vehicles sharing common vehicle parameters coupled with one or more of a plurality of payload classes grouping payloads sharing common payload parameters, computing a plurality of specific plans for executing the mission by one or more automated vehicles of the selected vehicle class(s) coupled with one or more payloads of the selected payload class(s), selecting one of the plurality of specific plans which reduces one or more mission attributes of the mission and outputting instructions for operating the selected automated vehicle(s) and the selected payload(s) to execute the mission according to the selected specific plan.

An autonomous vehicle includes a control system for remotely controlling the same. The autonomous vehicle includes an autonomous driving control apparatus having a processor that is configured to transmit an emergency request message to a control system when an emergency occurs to an emergency patient in the vehicle during autonomous driving, and the autonomous driving control apparatus is configured to direct the autonomous vehicle to follow a path with a shortest estimated required time among a contact path with an ambulance, a contact path with a neighboring vehicle capable of first aid, or a travel path to a hospital depending on remote control of the control system.

A computer-implemented method of refining a high definition (HD) map of a parking lot for autonomous vehicle parking (AVP) is disclosed. The method including: a vehicle navigating in the parking lot using the HD map; the vehicle using one or more sensors to scan for objects in the parking lot; the vehicle augmenting the HD map using a simultaneous localization & mapping SLAM method; adding objects detected by the one or more sensors to the HD map; and contributing towards improving a learning score of the HD map.

An all-one-way network data for autonomous driving is generated according to traffic information of a road data included in a navigation map data. The lane network data for autonomous driving is generated based on the all-one-way network data according to information of a numerical number of lanes in the road data. A virtual lane boundary data is generated based on the all-one-way network data. A position of the lane network data and a position of the virtual lane boundary data are corrected according to a basic road map data and an aerial photograph data.

A vehicle control interface includes a control unit configured to: connect between a vehicle platform including a first computer that performs travel control of a vehicle and an automated-driving platform including a second computer that performs automated-driving control of the vehicle and acquire a first control command containing an instruction for the vehicle platform from the second computer; convert the first control command to a second control command for the first computer; and send the second control command to the first computer. The control unit is configured to send, to the second computer, a specifiable range of a physical quantity that is specified by the second computer via the first control command.

A driving control device receives power supply from an accessory battery to operate, controls automatic driving, and outputs a control signal. A steering ECU, a power ECU and a brake ECU instruct a steering mechanism, a PCU and a brake to operate based on the control signal, respectively. An emergency stop switch is operated by an operator. In a case where the emergency stop switch is operated, an interface processing device cuts off a switch to stop the power supply, shuts down the driving control device, and outputs a control signal that causes the steering mechanism, the PCU and the brake to perform an emergency stop operation.