Vehicle Sensor Correction Using Beacon Reference Position Data
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Solution Overview
Problem
Current GPS-based positioning systems for autonomous vehicles suffer from precision errors of 2-5 meters, which are insufficient for accurate autonomous driving, especially in GPS shadow areas, and existing sensors fail to provide reliable data in tunnels or underground locations, leading to potential safety risks.
Innovation Solution
An electronic device and method that utilizes a communication circuit, sensors, and processors to receive and compare sensed data with reference data from beacons and surrounding vehicles, correcting errors and providing failure notifications through V2X communication, enabling precise location estimation and failure detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based positioning is used for autonomous vehicles, then positioning coverage is wide, but positioning precision deteriorates to 2-5 meters error which is insufficient for autonomous driving
Solution Approach 1:
The patent combines GPS positioning with sensor fusion (cameras, LIDAR, radar) and precision map data to create a hybrid positioning system. This merging allows the system to maintain wide GPS coverage while achieving sub-30cm precision through multi-source data integration and cross-validation
Solution Approach 2:
The patent introduces precision maps as an intermediary layer between GPS and the vehicle positioning system. The precision maps provide high-accuracy reference data that mediates and corrects GPS positioning errors, enabling sub-30cm precision while maintaining broad geographic coverage through map-matching algorithms
2Measurement precision
If expensive sensors such as DGPS and LIDAR are used to supplement positioning, then positioning precision improves to less than 30 cm, but device complexity and cost increase
Solution Approach 1:
The patent implements selective sensor activation where DGPS, LIDAR, and other expensive sensors are only activated when GPS precision falls below the required threshold or when entering GPS shadow areas. This partial action approach achieves sub-30cm precision when needed while avoiding continuous operation of complex sensor systems, thereby reducing overall device complexity and operational cost
3Measurement precision
If sensors are used to recognize position in GPS shadow areas, then positioning precision improves, but reliability deteriorates because sensors cannot recognize shadow areas such as tunnels and underground parking lots
Solution Approach 1:
The patent uses precision maps containing pre-stored three-dimensional spatial information of tunnels, underground parking lots, and GPS shadow areas to predict and prepare for positioning challenges before the vehicle enters them. This preliminary action allows the system to switch to map-based positioning modes in advance, maintaining reliability and precision in shadow areas where sensors would otherwise fail
4Measurement precision
If sensor data is used for autonomous driving, then positioning precision improves, but safety risks increase due to undetected sensor failures that are difficult to check in the corresponding vehicle
Solution Approach 1:
The patent implements a feedback-based failure detection system where sensed data from multiple sensors is continuously cross-validated against precision map data and each other. When discrepancies exceed thresholds, the system generates failure notifications and alerts, providing real-time feedback on sensor health and data reliability, thereby detecting failures that would otherwise be undetectable in the corresponding vehicle
Data Source
AI summary
At least one processor of an electronic device in a vehicle may be configured to: receive broadcast information which is broadcast from a beacon and includes reference data indicating the relative positional relationship between a designated object positioned in a designated place and the position of the beacon and the data of the designated place; in response to reception of the broadcast information, acquire sensed data indicating the relative positional relationship between the designated object and the vehicle through at least one sensor of the electronic device on the basis of the data of the designated place; in response to acquiring the sensed data, identify the difference between the sensed data and the reference data; identify whether the difference lies outside of a reference range; and determine correction of the at least one sensor to be required, on the basis of identification that the difference lies outside of the reference range.