Vehicle Sensor Map Updating for Timely Change Detection
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Solution Overview
Problem
Existing map updating methods are inefficient in detecting and incorporating environmental changes in a timely and cost-effective manner, especially for highly precise maps used in automated vehicle navigation.
Innovation Solution
A method that utilizes environment data from multiple vehicles equipped with sensors to compare and update map data, incorporating changes detected by these sensors, and provides a driving strategy for mapping vehicles to selectively update the map when deviations exceed a predefined threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional map updating methods are used, then map data can be maintained, but environmental changes cannot be detected and incorporated in a timely manner
Solution Approach 1:
The system performs preliminary actions by having vehicles continuously collect environment data during normal operation before map updates are actually needed. Sensor data from vehicles is pre-processed and stored, ready for comparison when map updates are initiated, eliminating the need to wait for scheduled updates to detect changes.
Solution Approach 2:
The system implements feedback by continuously comparing newly acquired environment data from vehicles against existing map data. When deviations are detected, the system automatically triggers map update processes. This closed-loop feedback mechanism ensures map accuracy is maintained by promptly responding to environmental changes detected by vehicle sensors.
2Loss of time
If comprehensive environmental monitoring is implemented using vehicle sensors, then timely detection of changes is achieved, but costs increase
Solution Approach 1:
The system achieves multi-functionality by utilizing vehicles that already possess sensors for their primary navigation and safety functions. These same sensors are leveraged for map updating purposes, eliminating the need for dedicated monitoring infrastructure and reducing overall implementation costs while maintaining timely detection capabilities.
Solution Approach 2:
The system implements self-service by using the vehicles' own existing sensor systems to collect environment data for map updates. Vehicles essentially monitor and report their own operational environment, eliminating the need for external monitoring systems and reducing the quantity of additional equipment required.
3Quantity of substance
If selective updating using driving strategy is implemented, then cost-effectiveness is improved, but complexity of the system increases
Solution Approach 1:
The system applies local quality by implementing selective updating only in specific regions where environmental changes have been detected. Instead of uniformly updating entire maps, the system focuses computational and processing resources only on affected local areas, reducing overall system complexity while maintaining cost-effectiveness.
Data Source
AI summary
A method and device for updating a map. The method includes a step of receiving environment data values, the environment data values representing an environment in a predefined region, and the environment data values being acquired and transmitted by a plurality of vehicles driving through this region; a step of carrying out a comparison of the environment data values to map data values, the map data values representing the map, the map representing an image of the predefined region, and the comparison including a deviation of the image from the environment; and a step of updating the map with the aid of the environment data values, or of providing a driving strategy for at least one mapping vehicle, the driving strategy including traveling the predefined region.