Vehicle Position Estimating Device Urban GNSS Accuracy
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Solution Overview
Problem
Existing vehicle position estimating devices face challenges in accurately estimating vehicle positions in urban areas with high concentrations of people, buildings, and vehicles, where GNSS positioning accuracy is compromised.
Innovation Solution
A vehicle position estimating device that incorporates a coordinates obtaining unit, a map information obtaining unit, a surrounding information obtaining unit, a vehicle position estimating unit, a relative position estimating unit, and a correcting unit. This device uses map information, surrounding information from sensors, and vehicle-to-vehicle communication to estimate and correct the vehicle position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GNSS positioning is used to estimate vehicle position, then positioning can be achieved, but positioning accuracy deteriorates in urban areas with high concentrations of people, buildings, and vehicles
Solution Approach 1:
The patent combines multiple positioning methods: GNSS positioning, map matching, and vehicle-to-vehicle relative positioning. The system merges these approaches to compensate for GNSS inaccuracies in urban environments by using complementary data sources and cross-validating positions across multiple methods.
Solution Approach 2:
The patent introduces an intermediary approach by using surrounding vehicles as reference points. Instead of directly relying on GNSS signals that are compromised in urban areas, the system uses the positions of other vehicles (obtained through V2V communication) as intermediate references to calculate and correct the target vehicle's position.
2Measurement precision
If map information and surrounding information are used to estimate vehicle position, then positioning accuracy improves, but device complexity increases
Solution Approach 1:
The patent segments the positioning function into distinct modules: coordinates obtaining unit, map information obtaining unit, surrounding information obtaining unit, vehicle position estimating unit, relative position estimating unit, and correcting unit. Each module handles a specific aspect of positioning, making the complex system more manageable and maintainable while improving accuracy through specialized processing.
3Measurement precision
If vehicle-to-vehicle communication is used to obtain second vehicle position, then positioning accuracy in urban areas improves, but loss of information increases due to communication dependencies
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors the availability and quality of V2V communication data. When communication with surrounding vehicles is unavailable or unreliable, the system switches to alternative positioning methods such as map matching or GNSS, creating a resilient feedback loop that adapts to communication conditions.
Data Source
AI summary
A vehicle position estimating device includes a coordinates obtaining unit, a map information obtaining unit, a surrounding information obtaining unit, a vehicle position estimating unit, a relative position estimating unit, and a correcting unit. The coordinates obtaining unit obtains coordinates of a first vehicle. The map information obtaining unit obtains map information including the coordinates obtained by the coordinates obtaining unit. The surrounding information obtaining unit obtains surrounding information indicating a reference around the first vehicle that is detected by a surrounding sensor. The vehicle position estimating unit estimates a first vehicle position using the map information and the surrounding information. The relative position estimating unit estimates a relative position of a second vehicle around the first vehicle with respect to the first vehicle. The correcting unit corrects the first vehicle position using the relative position and a second vehicle position obtained from the second vehicle.