Autonomous Vehicle Map Relabeling Using Low-Resolution Sensor Data
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Solution Overview
Problem
Autonomous vehicles face navigation restrictions due to outdated high-resolution maps, which require frequent updates by special purpose mapping vehicles, leading to inefficiencies and prolonged restricted areas.
Innovation Solution
A system that updates authoritative maps on autonomous vehicles using low-resolution data from onboard sensors, allowing for efficient updates without needing special purpose mapping vehicles, thereby reducing the time to update maps and lessening the workload on these vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If authoritative maps are updated using special purpose mapping vehicles, then map data quality and resolution are improved, but update time and operational efficiency deteriorate
Solution Approach 1:
The patent uses low-resolution sensor data from autonomous vehicles as a copy or supplement to the high-resolution authoritative map data. Instead of requiring special purpose mapping vehicles to physically recapture high-resolution data, the system creates updated map representations by processing and integrating lower-resolution sensor observations from regular autonomous vehicle operations, thereby maintaining map relevance without time-consuming specialized mapping missions.
Solution Approach 2:
Autonomous vehicles perform map updating functions as part of their normal operational service. The vehicles use their onboard sensors to capture environmental data and contribute to map updates while performing their primary function of autonomous navigation and transport, eliminating the need for separate dedicated mapping operations and reducing overall update time.
2Reliability
If special purpose mapping vehicles are frequently dispatched for map updates, then map currency is improved, but operational cost and complexity increase
Solution Approach 1:
Autonomous vehicles serve multiple functions: their primary function of autonomous navigation and transport, and a secondary function of map data collection and updating. By making the vehicle fleet multi-functional, the system eliminates the need for separate special purpose mapping vehicles, reducing operational complexity while maintaining map currency through continuous data collection during normal operations.
Solution Approach 2:
The patent merges the map updating function with the autonomous vehicle's normal operational function. Instead of having separate dedicated mapping operations, the system combines map data collection with regular autonomous vehicle missions, thereby reducing operational complexity and eliminating the need for separate specialized vehicles while maintaining reliable map updates.
3Measurement precision
If high-resolution authoritative maps are maintained, then navigation accuracy is improved, but system complexity and update requirements increase
Solution Approach 1:
The system maintains high-resolution authoritative map data for areas where precise navigation is critical, while accepting lower-resolution data from autonomous vehicle sensors for other regions or for incremental updates. This local quality approach allows the system to preserve navigation accuracy in key areas without requiring complete high-resolution remapping of entire operational areas, thereby reducing overall system complexity.
Data Source
AI summary
The present technology provides a system that can update aspects of an authoritative map portion stored on an autonomous vehicle using low-resolution data from the at least one sensor of the autonomous vehicle, and therefore avoids the need for dispatching the special purpose mapping vehicle for these updates. The captured low-resolution data can be compared with the high-resolution map portion to determine that the sensor data reflects a feature in a way that is inconsistent with how that feature is represented in the authoritative map portion. The sensor data can then be used to relabel the authoritative map portion.


