Vehicle Turn-Across-Path Navigation With Jurisdiction-Aware Road Features
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating due to the sheer volume of data from various sources, such as cameras, GPS, and sensors, which can limit their ability to process and store information effectively, especially when relying on traditional mapping technologies.
Innovation Solution
The system employs cameras to provide navigation features by analyzing images, combining this data with GPS and sensor information to identify potential turn-across-path events and determine remedial actions, such as adjusting the vehicle's trajectory, while considering road features to avoid obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional mapping technology is used for autonomous vehicle navigation, then comprehensive map data can be provided, but the volume of data to store and update becomes excessively large
Solution Approach 1:
The patent extracts and removes unnecessary map data elements, retaining only critical navigation information. The system selectively processes map data to extract essential features needed for autonomous navigation while discarding redundant details, thereby reducing storage requirements while maintaining navigation reliability.
Solution Approach 2:
The patent segments map data into hierarchical levels of detail, providing high-resolution data only for the immediate vicinity of the vehicle and lower-resolution data for distant areas. This segmentation allows comprehensive navigation coverage without storing uniformly high-volume data across all regions.
2Loss of information
If vast volumes of data from multiple sources are collected for autonomous navigation, then more comprehensive environmental information is available, but processing and analysis become increasingly complex and resource-intensive
Solution Approach 1:
The patent merges data from multiple sources (cameras, GPS, sensors, map data) into a unified processing framework. By integrating these diverse data streams through a common processing architecture, the system reduces overall complexity compared to handling each data source separately while maintaining complete environmental information.
Solution Approach 2:
The patent introduces an intermediary processing layer that standardizes and pre-processes data from various sources before final analysis. This intermediary layer acts as a mediator that simplifies the interface between diverse data sources and the decision-making system, reducing processing complexity while preserving information completeness.
Data Source
AI summary
Systems and methods are disclosed for navigating a host vehicle. In one implementation, at least one processor may be programmed to receive an image captured by a camera; identify an oncoming target vehicle; determine that a planned trajectory for the host vehicle includes a turn that crosses a projected trajectory of the oncoming target vehicle in a potential turn-across-path event; determine a driving jurisdiction associated with the road; determine, based on the driving jurisdiction, whether the target vehicle is approaching a road feature that negates the potential turn-across-path event; and either implement or forego implementing a remedial action based on whether the target vehicle is approaching a road feature that negates the potential turn-across-path event.