Vehicle Localization Using Dynamic Map Switching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle localization systems face challenges in accurately localizing vehicles in dynamic urban environments, particularly when the global and local maps differ significantly, leading to inefficient computation and potential failure in traffic jams or when map-relative localization is impossible.
Innovation Solution
A method that involves sensorial detection of surroundings objects, reconciliation with digital map data, and creation of a second digital map using data from an ascertaining device, allowing for predictive switchover between localization modes to optimize computation and ensure robust and reliable location systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If map-relative localization is used with global localization map, then computation efficiency is improved, but localization reliability deteriorates when global and local maps differ significantly
Solution Approach 1:
The system dynamically switches between map-relative localization (using global map for efficiency) and SLAM-based localization (creating local map for reliability). The localization approach is not fixed but adapts based on environmental conditions, sensor data quality, and map consistency, allowing the system to optimize between computation efficiency and localization reliability in real-time.
Solution Approach 2:
The system changes the parameter of map usage from global map to local map based on environmental conditions. When the global map differs significantly from the local environment (detected through sensor data inconsistency), the system transitions to using a locally created map, thereby adapting the localization parameters to maintain reliability while managing computation resources.
2Reliability
If SLAM approach is used to solve localization when map-relative localization is impossible, then localization reliability is improved, but computation complexity increases
Solution Approach 1:
The system segments the localization problem into two distinct approaches: map-relative localization for normal conditions and SLAM-based localization for exceptional conditions. By dividing the problem space and applying different algorithms to different segments (normal vs. abnormal environments), the system manages computation complexity while maintaining reliability when needed.
Solution Approach 2:
The system performs preliminary assessment of map consistency and environmental conditions before committing to a localization approach. By evaluating whether map-relative localization is feasible in advance, the system可以避免 unnecessarily complex SLAM computation when simpler methods suffice, thereby managing computation complexity while ensuring reliability when required.
3Adaptability or versatility
If switchover between localization approaches is carried out, then localization adaptability is improved, but system complexity increases
Solution Approach 1:
The localization system is designed with multi-functionality, capable of performing both map-relative localization and SLAM-based localization using a unified architecture. The same sensor suite and processing framework support both approaches, reducing the complexity increase that would otherwise result from maintaining separate specialized systems for each localization method.
Data Source
AI summary
A method for locating a vehicle, including the following steps: sensorial detection of first surroundings objects by the vehicle; locating the vehicle by reconciling data of the sensorially detected first surroundings objects with map data of a first digital map, in the case in which reconciliation of the data of the first surroundings objects with the map data of the first digital map to a defined extent is not possible, a second digital map for a local surroundings of the vehicle being created and location of the vehicle being carried out using the second digital map, data from second surroundings objects of an ascertaining device, which are conveyed from the ascertaining device to the vehicle, being used for creation of the second digital map.