Vehicle Lane Determination Using Map Reference and Sensor Data
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Solution Overview
Problem
Current vehicle systems lack the ability to accurately determine the driving lane based on surrounding information, which hinders real-time route prediction and control, especially at branch or junction points where multiple road options are present.
Innovation Solution
A vehicle equipped with a storage unit containing road type information, a surrounding information acquisition unit (including cameras and radar), and a controller that compares reference lane line information with estimated lane line information to determine the driving lane, taking into account road types, shapes, and surrounding objects, and displays the determined lane to the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle uses only surrounding information (camera and radar) to determine the driving lane, then the system can operate without pre-stored map data, but the accuracy of lane determination deteriorates especially at complex road intersections
Solution Approach 1:
The patent combines pre-stored reference lane line information from maps with real-time estimated lane line information from surrounding sensors (camera and radar) to create a hybrid lane determination system. This merging allows the system to maintain high accuracy at complex intersections by using reference data while still being able to operate with map data when needed.
Solution Approach 2:
The patent introduces reference lane line information as an intermediary element that mediates between the vehicle's position and the determined driving lane. This intermediary provides additional contextual information that helps resolve ambiguities in lane determination at complex road intersections, improving accuracy without requiring the system to rely solely on either map data or sensor data.
2Measurement precision
If the vehicle stores detailed map information including reference lane line information, then the accuracy of lane determination improves, but the storage requirements and system complexity increase
Solution Approach 1:
The patent extracts only the essential reference lane line information from detailed maps and stores it in a simplified format. Rather than storing complete map data, the system extracts and stores only the lane line characteristics needed for comparison, reducing storage requirements and data management complexity while maintaining lane determination accuracy.
Solution Approach 2:
The patent segments the lane determination process into distinct components: reference lane line information extraction, surrounding information acquisition, and comparison-based determination. This segmentation allows the system to manage complex data by breaking it into manageable parts, where only essential reference data is stored and processed separately from real-time sensor data.
3Speed
If the vehicle continuously determines the driving lane in real-time, then the responsiveness and route prediction capability improve, but the computational load and processing time increase
Solution Approach 1:
The patent performs preliminary actions by pre-storing reference lane line information and pre-processing map data before the vehicle reaches complex road intersections. This allows the system to have reference data ready for comparison, reducing the computational load during real-time operation while maintaining fast responsiveness in lane determination.
Solution Approach 2:
The patent implements a feedback mechanism where the determined driving lane is continuously monitored and used to adjust subsequent lane determination processes. This feedback allows the system to optimize computational resources by using previous determination results to inform current analysis, reducing redundant processing while maintaining real-time responsiveness.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and real-time determination of the driving lane, improving route prediction and control by efficiently managing storage and providing timely lane selection at complex road intersections.
Implementation Method 1
The surrounding information acquisition unit may include a camera configured to acquire an image of a front side of the vehicle
Implementation Method 2
The surrounding information acquisition unit may include a radar configured to detect an object on a lateral side of the vehicle
Data Source
AI summary
Disclosed herein are a vehicle capable of determining a driving lane by comparing reference lane line information corresponding to the type of a driving road with estimated lane line information estimated by using surrounding information, and a control method of the vehicle. The vehicle includes a storage configured to store a map including a type of road; a surrounding information acquisition unit configured to acquire surrounding information; and a controller configured to determine a driving lane by comparing reference lane line information corresponding to the type of the driving road verified based on the map with estimated lane line information estimated based on the surrounding information.