Vehicle Route Selection Using Lane Line Quality for ADAS Reliability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automated and assisted driving systems face challenges in varying driving environments due to infrastructure, lane markings, and presence of other vehicles or pedestrians, leading to inconsistent performance.
Innovation Solution
A method for optimizing vehicle routing that considers lane marking quality, using a routing algorithm to prioritize routes based on the reliability of automated or assisted driving features by aggregating data from multiple sources and evaluating costs such as lane quality, road curvature, and traffic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automated driving systems operate in varying driving environments with different infrastructure and lane markings, then the system can serve more diverse locations, but the reliability and safety of automated driving features deteriorate due to inconsistent performance
Solution Approach 1:
The system pre-calculates route costs and identifies suitable routes for automated driving before the actual trip. By determining route suitability in advance based on lane marking quality and environmental factors, the system ensures reliable automated driving operation while maintaining adaptability to diverse environments.
Solution Approach 2:
The system uses map data and lane marking information as a copy or representation of the physical driving environment. This allows the automated system to evaluate route suitability without directly experiencing varying environmental conditions, maintaining consistent performance across diverse locations.
2Reliability
If the routing algorithm considers multiple environmental factors like lane marking quality and road curvature, then the reliability of automated driving features improves, but the complexity of the routing system increases
Solution Approach 1:
The routing system is divided into separate functional components: a route identification module that finds possible routes, a cost determination module that evaluates environmental factors for each route section, and a route selection module that chooses the optimal route. This segmentation allows each component to handle specific tasks independently, improving reliability while managing complexity.
Solution Approach 2:
The system evaluates multiple parameters (lane marking quality, road curvature, traffic conditions) and transforms them into a single route cost metric. By converting diverse environmental factors into a unified cost parameter, the system maintains reliability through comprehensive evaluation while simplifying the final route selection process.
3Reliability
If the system calculates route cost based on lane marking quality for each section of road, then the safety and robustness of automated driving improves, but the computational time and processing requirements increase
Solution Approach 1:
The system pre-determines lane marking quality and environmental characteristics for different road sections and stores this information in map data. When routing is needed, the system quickly retrieves pre-analyzed data rather than performing real-time analysis, ensuring safety through comprehensive evaluation while minimizing computational time.
Solution Approach 2:
The system focuses route cost calculation on the most critical factors affecting automated driving safety, such as lane marking quality and road curvature, rather than analyzing every possible environmental parameter. This partial action approach maintains safety by evaluating key parameters while reducing overall computational burden.
Data Source
AI summary
A method for routing a vehicle includes determining, based on roadway section information for two or more potential driving routes for a vehicle, a first route along which a driver assistance feature or an automated driving feature will not be available and a second route along which the driver assistance feature or the automated driving feature will be available. The method further includes providing navigation instructions for the second route to a driver or control system.