Vehicle Route Modification for Lane-Based Localization Precision
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies for determining vehicle location in autonomous vehicles face precision issues due to limited availability of GNSS satellite signals and lane markings, particularly in scenarios with obstructions or inadequate lane demarcation.
Innovation Solution
The system employs sensors to detect localization references and a processor that maneuvers the vehicle into alternative lanes with better markings or signal reception, ensuring increased precision by altering speed or position relative to obstructions to improve localization reference availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle travels in a lane with poor localization reference availability, then the vehicle can maintain its original route, but the precision of vehicle location determination decreases
Solution Approach 1:
The system dynamically adjusts the vehicle route by detecting real-time localization reference availability in different lanes and maneuvering the vehicle to lanes with better detection conditions, transforming a static routing problem into a dynamic adaptation process that optimizes measurement precision continuously
Solution Approach 2:
The system introduces lane selection as an intermediary variable between the vehicle and localization references. By selecting appropriate lanes as intermediaries, the system indirectly improves vehicle location precision through better access to localization references such as lane markings and environmental features
2Measurement precision
If the vehicle maneuvers to a different lane to improve localization precision, then the precision of vehicle location determination increases, but the route complexity increases
Solution Approach 1:
The system changes the routing parameter from a fixed predetermined route to a dynamically adjustable route based on real-time localization reference detection. This parameter change allows the system to balance route simplicity with measurement precision by selecting lanes that optimize localization without excessive complexity
3Loss of information
If the vehicle alters speed or position relative to obstructions to improve signal reception, then the availability of localization reference information increases, but the time required for localization increases
Solution Approach 1:
The system applies partial route modification by altering speed or position only to the extent necessary to improve localization reference availability. Rather than making excessive maneuvers, the system makes minimal adjustments sufficient to achieve better detection conditions, thereby reducing time loss while improving information availability
Data Source
AI summary
An illustrative example embodiment of a system for controlling a vehicle includes at least one sensor configured to detect at least one localization reference and at least one processor configured to determine a location of the vehicle with a first precision based on an indication from the at least one sensor while the vehicle is traveling in a first lane of a roadway. The processor is configured to determine that at least one characteristic of the first precision is below a threshold and, based on the at least one characteristic being below the threshold, maneuver the vehicle to a second lane of the roadway.