Autonomous Driving Route Specification Using Lane Marking Analysis
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Solution Overview
Problem
Existing autonomous driving assistance systems struggle to accurately specify a vehicle's route at branch points without pre-set guidance routes, relying on artificially defined 'along the road' relationships rather than lane markings and connections, leading to potential misinterpretation of lane changes.
Innovation Solution
The system utilizes 'line types of lane markings' and 'connection types of lanes' to specify a planned route for the vehicle, allowing for quicker and more accurate route determination even without a pre-set guidance route, by analyzing road information and lane configurations ahead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the system uses artificially defined 'along the road' relationships to determine route, then the system complexity is reduced, but the route specification accuracy deteriorates
Solution Approach 1:
The patent segments the route determination process into two distinct modes: one using artificial 'along the road' relationships for simple cases, and another using detailed lane marking analysis for complex branch points. This segmentation allows the system to apply the appropriate level of complexity based on the specific situation, improving overall accuracy without unnecessarily increasing system complexity in all cases.
Solution Approach 2:
The patent transitions from using only artificial relational definitions (one-dimensional approach) to incorporating spatial geometric information from lane markings (adding a spatial dimension). By analyzing the actual geometric relationships and connectivity of lane markings at branch points, the system achieves more accurate route specification that reflects the true physical road layout.
2Measurement precision
If the system uses detailed lane marking analysis to specify route, then the route specification accuracy is improved, but the processing time increases
Solution Approach 1:
The patent implements a dynamic route determination strategy that adapts the level of analysis based on the complexity of the upcoming road geometry. For simple continuous roads, the system uses faster artificial relationship checks. For complex branch points, it dynamically switches to detailed lane marking analysis. This dynamic adaptation optimizes processing time while maintaining accuracy when needed.
Solution Approach 2:
The system changes the parameter of analysis depth based on detected road conditions. When a branch point is detected ahead, the system increases the detail level of lane marking analysis from basic to comprehensive. This parameter change allows the system to allocate computational resources efficiently, performing detailed analysis only when necessary for accurate route specification.
3Ease of operation
If the system presumes vehicle will take straight road at branch point, then the default route determination is simplified, but the reliability of route specification deteriorates
Solution Approach 1:
The patent performs preliminary analysis of lane marking configurations at branch points before the vehicle reaches them. By examining the connectivity and geometry of lane markings in advance, the system can determine the actual intended route rather than presuming straight continuation. This preliminary action ensures reliable route specification while maintaining smooth operation.
Solution Approach 2:
The system uses feedback from lane marking detection and geometric analysis to correct or adjust the default presumption of straight road continuation. When the lane marking analysis indicates a different intended route (e.g., curve connection), the system adjusts the planned route accordingly. This feedback mechanism ensures reliability by basing route decisions on actual road geometry rather than simple presumptions.
Data Source
AI summary
Autonomous driving assistance systems, methods, and programs obtain road information that specifies line types of lane markings and connection types of lanes and specify, when a vehicle travels with autonomous driving assistance, a planned route to be taken by the vehicle based on the road information. The systems, methods, and programs execute the autonomous driving assistance for the vehicle according to the specified planned route.