Sensor-Based Map Correction for Autonomous Navigation
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Solution Overview
Problem
Existing navigation systems face challenges in maintaining high accuracy of digital maps for autonomous driving and Advanced Driver Assistance Systems (ADAS) due to the trade-off between environment maps and sensor-based maps, where environment maps provide detailed but limited coverage, while sensor-based maps offer accurate but limited-range information.
Innovation Solution
The system combines information from environment maps and sensor-based maps by comparing elements to determine if the sensor-based map should correct or replace the environment map, using a threshold to decide between map usage for navigation functions, allowing for real-time updates and corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If environment maps are used, then detailed map information is provided, but coverage is limited
Solution Approach 1:
The system merges environment maps (providing detailed map information) with sensor-based maps (providing accurate real-time data) to create a hybrid navigation system that achieves both detailed coverage and extended area coverage by leveraging the complementary strengths of both map types
Solution Approach 2:
The system applies different map types to different spatial regions: environment maps are used for areas with reliable pre-mapped data for detailed navigation, while sensor-based maps are used for areas requiring real-time accuracy, allowing each map type to operate in its optimal coverage zone
2Measurement precision
If sensor-based maps are used, then accurate real-time information is provided, but coverage range is limited
Solution Approach 1:
The system combines sensor-based maps with environment maps to extend the effective coverage area while maintaining navigation accuracy, using the sensor-based map for real-time accuracy in the vehicle's immediate vicinity and the environment map for broader contextual information
3Device complexity
If a single map type is used, then system complexity is reduced, but navigation reliability decreases
Solution Approach 1:
The system dynamically selects which map type to use based on real-time conditions and location, switching between environment maps and sensor-based maps as needed, which manages computational complexity by processing only the necessary map type for each navigation task while maintaining high reliability through adaptive map selection
Solution Approach 2:
The system uses feedback from comparing both map types to determine the most reliable navigation data, continuously monitoring the consistency between environment maps and sensor-based maps to make informed decisions about which map to trust for each navigation function
Data Source
AI summary
Systems and techniques are described for processing one or more maps. For example, a method can include obtaining a first map of an environment in which the computing device is located and obtaining a second map of the environment based on sensor data from one or more sensors. The method can include comparing first one or more elements of the first map and second one or more elements of the second map. Each respective element of the first one or more elements corresponds to a respective element of the second one or more elements. The method can further include determining whether to use the first map or the second map for at least one navigation function based on comparing the first one or more elements of the first map with the second one or more elements of the second map.