5G-AMMCOA

The operation of construction and agricultural machines is subject to particularly high demands on efficiency, precision and safety.
It  differs in various respects from the Application field "Autonomous and networked driving" in road traffic on digitized roads, so that a separate consideration of this field of application becomes necessary.
Special features of the field of application of construction and agricultural machinery include the non-availability of digitized maps, the need to provide a very accurate relative and absolute location, the importance of coordinated use of vehicle fleets and the necessity, even in the case of insufficient radio network coverage a local "5G" communication infrastructure.

The aim of this proposal is to provide a local, mobile and non-infrastructural "tactile internet" networking solution as an extension into existing broadband networks and thus a dynamic, and customized expansion of the 5G network, additionally provides integrated high-precision localization solutions and addresses the special requirements of the addressed applications. The 5G-AMMCOA solution is to be implemented in vehicles, which can network in such application scenarios independently and then realize highly complex work processes between mobile machines.

2 different scenarios are investigated:
The fist use case deals with agricultural overloading operations, such as are used, for example, during harvesting between combine harvesters and tractor. An exact relative positioning must be carried out. Furthermore, changing the transport vehicles requires precise timing and local coordination of the vehicles as well as efficient movement planning of the vehicles. In a second application, a road-building scenario is to be investigated. The challenge lies in coordinating the various construction machines such as road paver, feeder, rollers and trucks. Since the road paver requires a continuous mass flow, the feeder and the trucks have to be coordinated accordingly. Based on the movement of the road finisher, the feeder and road rollers are to be moved to compaction of the material.

The task of the robotics research lab in this project is the developement of an autonomous control of a fleet of tandem rollers.