Embodiments of the present disclosure relates to dynamic virtual platoon. According to embodiments of the present disclosure, a first device receives driving information from vehicles and forwards the driving information to a network device. The second device determines the vehicle platoon based on the driving information and transmits the information related to the vehicle platoon to the first device. The first device determines control information to remotely drive the vehicles. In this way, the coverage of the vehicle platoon is increased and a dynamic platoon is formed. The first device controls the driving of the vehicles instead of the head vehicle, which reduces burden on the head vehicle.

Embodiments of the present disclosure relates to dynamic virtual platoon. According to embodiments of the present disclosure, a first device receives driving information from vehicles and forwards the driving information to a network device. The second device determines the vehicle platoon based on the driving information and transmits the information related to the vehicle platoon to the first device. The first device determines control information to remotely drive the vehicles. In this way, the coverage of the vehicle platoon is increased and a dynamic platoon is formed. The first device controls the driving of the vehicles instead of the head vehicle, which reduces burden on the head vehicle.

A method and an apparatus for generating sensor data for controlling an autonomous vehicle in an environment is provided, such as driverless transport vehicles in a factory for example. Sensor positions of static sensors and the sensors of autonomous vehicles are defined in a global coordinate system on the basis of an environment model, such as a BIM model for example. Sensor data is centrally generated in this global coordinate system for all sensors as a function of these sensor positions. The sensor data is then transformed into a local coordinate system of an autonomous vehicle and transferred for controlling the autonomous vehicle.

A method and an apparatus for generating sensor data for controlling an autonomous vehicle in an environment is provided, such as driverless transport vehicles in a factory for example. Sensor positions of static sensors and the sensors of autonomous vehicles are defined in a global coordinate system on the basis of an environment model, such as a BIM model for example. Sensor data is centrally generated in this global coordinate system for all sensors as a function of these sensor positions. The sensor data is then transformed into a local coordinate system of an autonomous vehicle and transferred for controlling the autonomous vehicle.

A device (16) for determining a discrete representation (30) of a road section ahead of a vehicle (12) includes an input interface (22) for receiving sensor data (20) of a sensor (14) with information about the road section ahead of the vehicle, a setting unit (24) for ascertaining a control distance at which a property of the road section ahead of the vehicle that is relevant for an open-loop control of the vehicle changes based on the sensor data and for setting a support point in a discrete representation of the road section corresponding to the control distance. The setting unit is configured for setting a lower predefined second number (n2) of support points based on a predefined first number (n1) of support points. The device also includes an output interface (26) for outputting the lower predefined second number of support points to an optimizer (52) in order to determine a profile of at least one control parameter for the open-loop control of an open-loop system, a vehicle function based on the second number (n2) of support points.

A device (16) for determining a discrete representation (30) of a road section ahead of a vehicle (12) includes an input interface (22) for receiving sensor data (20) of a sensor (14) with information about the road section ahead of the vehicle, a setting unit (24) for ascertaining a control distance at which a property of the road section ahead of the vehicle that is relevant for an open-loop control of the vehicle changes based on the sensor data and for setting a support point in a discrete representation of the road section corresponding to the control distance. The setting unit is configured for setting a lower predefined second number (n2) of support points based on a predefined first number (n1) of support points. The device also includes an output interface (26) for outputting the lower predefined second number of support points to an optimizer (52) in order to determine a profile of at least one control parameter for the open-loop control of an open-loop system, a vehicle function based on the second number (n2) of support points.

The system comprises input means for receiving user data from associated user monitoring means that each monitor at least one respective attribute of the user of the vehicle. The user data is indicative of the plurality of respective attributes. A plurality of inference modules each receive user data from the user monitoring means, and each determine a respective inference of a cognitive state of the user based on the received user data. Each inference module is arranged to output user state data indicative of the determined inference of the cognitive state of the user. An inference fusion module receives the user state data from each of the plurality of inference modules to determine an inference of an aggregated cognitive state of the user and to output cognitive state data indicative of the aggregated cognitive state for controlling the vehicle functions.

A vehicle control method implemented by a first vehicle configured with at least one driver assistance system. The method includes activating a driver assistance system to an active state, applying a vehicle speed range to the first vehicle in response to the driver assistance system being in the active state, obtaining first information of a moving object near the first vehicle, determining a first parameter based on the first information, and further terminating, based on the first parameter, the active state, and setting, based on the first parameter, the first vehicle to run at a first vehicle speed beyond the vehicle speed range.

A vehicle control method implemented by a first vehicle configured with at least one driver assistance system. The method includes activating a driver assistance system to an active state, applying a vehicle speed range to the first vehicle in response to the driver assistance system being in the active state, obtaining first information of a moving object near the first vehicle, determining a first parameter based on the first information, and further terminating, based on the first parameter, the active state, and setting, based on the first parameter, the first vehicle to run at a first vehicle speed beyond the vehicle speed range.

To determine a path through a pose configuration space, trajectories of poses may be evaluated in parallel based at least on translating the trajectories along at least one axis of the pose configuration space (e.g., an orientation axis). A trajectory may include at least a portion of a turn having a fixed turn radius. Turns or turn portions that have the same turn radius and initial orientation can be translatively shifted along and processed in parallel along the orientation axis as they are translated copies of each other, but with different starting points. Trajectories may be evaluated based at least on processing variables used to evaluate reachability as bit vectors with threads effectively performing large vector operations in synchronization. A parallel reduction pattern may be used to account for dependencies that may exist between sections of a trajectory for evaluating reachability, allowing for the sections to be processed in parallel.