Fleet Map Blockage Generation for Autonomous Vehicles
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Solution Overview
Problem
Autonomous vehicles lack an efficient method to dynamically update map information to avoid hazardous areas, leading to potential strandings and traffic congestion, as existing systems require human intervention or centralized decision-making for blockage management.
Innovation Solution
A method where a server computing system receives information from autonomous vehicles, determines if specific geographic areas meet predefined rules for blockages (such as stranding or construction zones), and generates blockage data to be sent to the fleet, enabling vehicles to autonomously avoid these areas without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles use pre-stored map information for navigation, then the system is simple and easy to operate, but the map information becomes outdated and vehicles may encounter strandings in hazardous areas
Solution Approach 1:
The system implements feedback by collecting stranding and disengagement data from autonomous vehicles in the fleet, processing this information centrally to identify hazardous areas, and updating map information accordingly. This closed-loop feedback mechanism ensures map data remains current without requiring complex individual vehicle systems.
Solution Approach 2:
A centralized server acts as an intermediary between autonomous vehicles and map information. The server aggregates data from multiple vehicles, determines hazardous areas based on predefined rules, and distributes updated blockage information to the fleet, simplifying individual vehicle systems while improving overall reliability.
2Stability of the object's composition
If centralized blockage management is implemented, then consistent map information is maintained across the fleet, but the system requires complex coordination and communication infrastructure
Solution Approach 1:
The centralized server serves as an intermediary that manages blockage information for the entire fleet. It receives data from vehicles, applies predefined rules to determine hazardous areas, and distributes consistent blockage information to all vehicles, ensuring map stability without requiring complex peer-to-peer coordination.
Solution Approach 2:
The system ensures all vehicles in the fleet receive identical blockage information from the centralized server, creating homogeneous map data across the entire fleet. This approach simplifies coordination by using a single source of truth rather than requiring complex inter-vehicle communication protocols.
3Productivity
If real-time blockage updates are provided to the fleet, then vehicles can avoid hazardous areas effectively, but the communication infrastructure and data processing requirements increase
Solution Approach 1:
The system extracts only the essential blockage information (geographic coordinates and blockage status) from the complex data received from vehicles. By filtering and processing data to extract only critical blockage details, the system reduces communication overhead while maintaining real-time navigation efficiency.
Solution Approach 2:
The centralized server creates simplified blockage data representations that are distributed to all vehicles. Instead of transmitting raw sensor data or complex processing information, the system generates concise blockage descriptors that can be efficiently communicated to the fleet, reducing data volume while maintaining effectiveness.
4Reliability
If blockages are generated based on minimum number of disengagement instances, then false blockages are reduced, but the response time to actual hazards may be delayed
Solution Approach 1:
The system pre-establishes rules and thresholds for blockage generation based on disengagement and stranding data. By having predetermined criteria in place, the system can quickly determine when a blockage should be created without requiring complex real-time analysis, reducing response time while maintaining accuracy through pre-validating thresholds.
Solution Approach 2:
The system periodically evaluates accumulated disengagement and stranding data against predefined rules to determine when blockages should be generated. This periodic evaluation with minimum instance thresholds balances the need for accurate blockage identification with timely response, preventing both false blockages and excessive delays.
Data Source
AI summary
Aspects of the disclosure provide methods of generating blockages in map information for use by a fleet of autonomous vehicles. For instance, information from an autonomous vehicle of the fleet may be received by one or more processors of a server computing system. That the received information meets at least one set of rules for generating blockages may be determined. Based on the determination that the received information meets at least one set of rules for generating blockages, blockage data identifying a specific area of a blockage may be generated. The blockage data may be sent to the autonomous vehicles of the fleet in order to enable the autonomous vehicles of the fleet to avoid the specific area of the blockage.