Autonomous Vehicle Scouting Task Assignment for Map Coverage
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Solution Overview
Problem
Fleet of autonomous vehicles face inefficiencies in completing scouting tasks for map information due to the need to balance transportation services, requiring significant time and resources, as traditional methods involve assigning vehicles to drive randomly or in specific patterns when not in use.
Innovation Solution
A fleet management system that employs a dispatching and scouting system to define scouting quests, assign objectives based on vehicle location, availability, and urgency, allowing vehicles to complete objectives while providing transportation services and track status remotely to optimize resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If autonomous vehicles are assigned to complete scouting tasks by driving randomly or in specific patterns when not in use, then map information can be collected, but significant time and resources are required, reducing productivity
Solution Approach 1:
The scouting area is divided into multiple geographic zones, and the fleet is divided into multiple vehicles. Each vehicle is assigned to specific zones based on its location and availability, allowing parallel collection of map information across different areas, thus improving productivity while reducing the time and resources needed for complete area coverage
Solution Approach 2:
The system pre-defines scouting quests and objectives before vehicles are deployed. By planning scouting routes and assigning objectives in advance based on vehicle locations and service schedules, the system optimizes resource utilization and reduces the time required for scouting tasks compared to random driving patterns
2Productivity
If autonomous vehicles balance transportation services with scouting tasks, then resource utilization is optimized, but task completion becomes more complex and difficult to track
Solution Approach 1:
A fleet management system acts as an intermediary between vehicles and the scouting objectives. This central system receives location and status updates from vehicles, assigns scouting objectives based on real-time conditions, and tracks completion status. This intermediary layer simplifies the complexity by centralizing decision-making and providing a unified interface for managing multiple vehicles and their dual roles in transportation and scouting
Solution Approach 2:
The system implements continuous feedback loops where vehicles report their location, status, and scouting objective completion to the fleet management system. This feedback mechanism allows the system to dynamically reassign objectives, track progress, and optimize resource utilization in real-time, making the complex task management transparent and controllable
3Productivity
If vehicles complete scouting objectives actively by being assigned specific tasks, then map information is collected efficiently, but transportation service availability may be reduced
Solution Approach 1:
The system dynamically assigns scouting objectives based on real-time vehicle availability, location, and service demands. Vehicles can switch between active scouting mode and transportation service mode as conditions change. This dynamic allocation ensures that scouting tasks are completed efficiently when vehicles are available, while transportation service availability is maintained when needed, optimizing both productivity and adaptability
Data Source
AI summary
A method is provided for managing and tracking scouting tasks to obtain map information using a fleet of autonomous vehicles. For instance, the method includes defining a scouting quest to obtain the map information. The scouting quest includes a plurality of objectives. Each objective is associated with a geographic location from which sensor data is to be captured. The method also includes receiving a first update message from an autonomous vehicle of the fleet. The update message identifies a location of the autonomous vehicle. The method also includes assigning at least one of the objectives to the autonomous vehicle based on the location of the autonomous vehicle. The method also includes sending instructions to the autonomous vehicle in order to cause the autonomous vehicle to complete the at least one objective and after sending, tracking a status of the scouting quest.