Autonomous Route Following with Lane Preference Mapping
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Solution Overview
Problem
Current autonomous vehicle navigation systems rely on detailed autonomous driving road data, which is lacking for many roads, limiting the widespread adoption of autonomous driving features.
Innovation Solution
The system transforms navigation information from a navigation system into a set of data points defining an upcoming trajectory, maps these data points to corresponding lane segments, assigns lane preference indicia, and autonomously operates actuators to maneuver the vehicle into preferred lanes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed autonomous driving road data is used for autonomous vehicle navigation, then navigation precision is improved, but the coverage of navigable roads deteriorates (many roads lack such data)
Solution Approach 1:
The patent introduces an intermediary transformation process that converts navigation information from standard navigation systems into a format compatible with autonomous driving requirements. This intermediary transformation layer enables roads without detailed autonomous driving data to be navigated by autonomous vehicles, thus expanding road coverage while maintaining navigation precision through the structured transformation process
Solution Approach 2:
The system achieves universality by making the autonomous vehicle navigation system compatible with multiple navigation information formats and suppliers. The transformation module can process navigation information from any standard navigation system and convert it into autonomous driving-compatible format, enabling the system to operate on any road that has standard navigation coverage, not just roads with specialized autonomous driving data
2Adaptability or versatility
If autonomous driving systems are designed to work with multiple navigation system formats, then adaptability is improved, but system complexity increases
Solution Approach 1:
The patent employs an intermediary transformation module that serves as a universal interface between various navigation systems and the autonomous driving control system. This single intermediary component handles format conversion and data transformation, avoiding the need for multiple specialized interfaces for different navigation suppliers, thus managing complexity while maintaining broad compatibility
Solution Approach 2:
The system manages complexity through parameter transformation rather than structural complexity. The transformation module changes the parameters and format of navigation information to match autonomous driving requirements, using configurable transformation rules that can adapt to different navigation system formats without requiring fundamental changes to the system architecture
Data Source
AI summary
Vehicles and related systems and methods are provided for controlling a vehicle in an autonomous operating mode. One method involves obtaining navigation information for a route for the vehicle from a navigation system, transforming the navigation information into data points defining an upcoming trajectory of the route, mapping the data points to a corresponding mapped set of lane segments encompassing one or more of the data points, assigning lane preference indicia to the mapped set of lane segments, and autonomously operating one or more actuators onboard the vehicle to laterally maneuver the vehicle into one or more lanes at respective longitudinal positions along the route corresponding to one or more lane segments of the mapped set of lane segments in a manner that is influenced by the lane preference indicia assigned to the lane segments.