Lane-Level Navigation via Acceleration Detection
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Solution Overview
Problem
Existing navigation systems lack the capability to detect movements at a lane-level granularity, leading to inaccurate location tracking and guidance, especially in environments where coarse granularity and degrading circumstances hinder precise user positioning.
Innovation Solution
A navigation system that includes a location unit for detecting acceleration, a mode determination module to assess travel states, a sequence module to identify travel sequences, and a movement determination module to set and match lane-level granularity movements, enabling precise lane-level movement tracking and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If coarse granularity location detection is used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent segments location detection into two granularity levels: coarse granularity for general position tracking and fine granularity for lane-level precision. The system dynamically switches between these levels based on navigation needs, allowing high precision when required while maintaining low complexity for general operation.
Solution Approach 2:
The system dynamically adjusts the granularity of location detection based on the current navigation context. When lane-level precision is needed (e.g., at intersections or complex road configurations), the system activates fine granularity detection. Otherwise, it operates in coarse granularity mode to conserve resources and reduce computational complexity.
2Measurement precision
If fine granularity location detection is used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments location detection into two granularity levels: coarse granularity for general position tracking and fine granularity for lane-level precision. The system dynamically switches between these levels based on navigation needs, allowing high precision when required while maintaining low complexity for general operation.
Solution Approach 2:
Instead of continuously operating at full fine granularity, the system applies partial action by activating high-precision detection only when and where needed (e.g., at critical navigation points). This reduces the overall computational burden while maintaining precision at decision-critical moments.
3Measurement precision
If velocity information is used for movement tracking, then measurement precision is improved, but loss of time increases due to computational requirements
Solution Approach 1:
The patent extracts and removes the requirement for velocity information from the movement tracking process. Instead of calculating velocity (which requires time-consuming differentiation of position data), the system directly uses acceleration sensor data to determine movement state changes, significantly reducing computational time while maintaining precision.
Solution Approach 2:
The system replaces the computational mechanical approach (calculating velocity from position derivatives) with a direct sensor-based approach. Acceleration sensors provide movement information directly without requiring complex mathematical operations on position data, substituting a simpler physical measurement system for a complex computational one.
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
The system provides improved accuracy in tracking user movements at a lane-level, enhancing navigation precision and safety by reducing computational reliance on velocity information and other positional systems, allowing for faster collision avoidance and efficient route guidance.
Implementation Method 1
a location unit for detecting an acceleration for monitoring a movement of a device
Data Source
AI summary
A method of operation of a navigation system includes: detecting an acceleration for monitoring a movement of a device; determining a travel state based on the acceleration; identifying a travel sequence involving the travel state; setting a lane-level granularity movement as a predetermined sequence of the travel state; and determining the lane-level granularity movement with the travel sequence matching the predetermined sequence for displaying on the device.


