Autonomy Map Weighting for Reliable Vehicle Navigation Segments
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Solution Overview
Problem
Current navigation systems for autonomous vehicles are unreliable across entire road networks, as existing techniques like GPS, LIDAR, and ground marking systems fail to provide consistent external information, leading to potential errors or the need for driver intervention.
Innovation Solution
A method to prepare a navigation autonomy map by calculating primary and final autonomy indices for each path segment using distinct autonomy functions, with weighted averaging to enhance reliability, and incorporating additional sensors like INS for improved accuracy and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single autonomy function (e.g., GPS, LIDAR, or ground marking) is used for autonomous navigation, then the system is simple to implement, but the reliability and accuracy are insufficient across entire road networks
Solution Approach 1:
The patent combines multiple distinct autonomy functions (GPS, LIDAR, ground marking detection, and other navigation systems) into a unified autonomous navigation system. Each function calculates its own autonomy index, and these indices are integrated through weighted averaging to produce a final autonomy index for each path segment, thereby improving overall reliability while managing system complexity through modular integration
Solution Approach 2:
The patent creates a multi-functional autonomy evaluation system where a single navigation framework supports multiple autonomy functions simultaneously. The system can adaptively select and weight different autonomy functions based on road network characteristics, making the navigation system universally applicable across diverse road conditions while maintaining reliability
2Measurement precision
If multiple autonomy functions are combined to improve reliability, then the navigation system becomes more accurate and reliable, but the calculation complexity and processing time increase
Solution Approach 1:
The patent segments the autonomous navigation problem into distinct path segments along the route. For each segment, individual autonomy functions calculate separate autonomy indices, which are then aggregated. This segmentation allows parallel processing of multiple functions without overwhelming computational burden, as each segment can be evaluated independently with optimized weighting
Solution Approach 2:
The patent introduces weighted averaging as a parameter transformation method to synthesize multiple autonomy indices into a single final index. By adjusting weights based on road network characteristics and reliability requirements, the system transforms complex multi-function outputs into a simplified decision parameter that maintains high accuracy while reducing computational complexity
Data Source
AI summary
The method of preparing a navigation autonomy map for a vehicle covering a zone including path segments, comprising the following steps: identifying the path segments for which the map needs to be prepared; for each path segment, calculating a primary autonomy index in accordance with at least two distinct functions; and calculating for each path segment a final autonomy index by taking a weighted average of the primary autonomy indices. An autonomy map, an application of the autonomy map, and a vehicle using such an autonomy map.