Architecture Design of Intelligent Decision-making Software for Unmanned Ground Vehicles for Reconnaissance and Surveillance Tasks

Aiming at the requirements of unmanned ground vehicles to perform reconnaissance and surveillance tasks in complex environments, considering the current conditions of unmanned vehicles such as complex battlefield environment, limited continuous operation time, and low ability of fully autonomous intelligent decision-making control, a software architecture design for intelligent decision-making of unmanned ground vehicles for reconnaissance and surveillance tasks is proposed. Considering the requirements of completion rate and success rate of reconnaissance and surveillance tasks, a human-machine collaboration-oriented vehicle intelligent behavior decision-making and abandonment management evaluation method is proposed. Through the construction of the simulation system and task experiments, it is verified that the design can complete autonomous intelligent decision-making for reconnaissance and surveillance tasks in typical complex environmental scenarios, can call the abandonment management method, hand over vehicle control rights in dangerous situations, achieving an effective improvement of the mission completion of unmanned.