Autonomous Off-Road Vehicle Boundary-Type Behavior Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous off-road vehicles face challenges in precisely navigating along guidance tracks that match the mapped boundary of a geographic area, due to varying conditions across different portions of the boundary, requiring different operational behaviors.
Innovation Solution
A method where an autonomous off-road vehicle accesses a boundary definition that classifies each portion of the boundary into specific types, each associated with vehicle behavior limitations, allowing the vehicle to modify its behavior accordingly when approaching a target portion of the boundary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the autonomous vehicle follows a single guidance track for the entire boundary, then the navigation path is simple to generate, but the vehicle cannot adapt to varying boundary conditions requiring different operational behaviors
Solution Approach 1:
The boundary is divided into multiple portions, each classified as a specific boundary type (e.g., boundary type 1, boundary type 2). Each boundary type has associated vehicle behavior limitations that dictate different operational behaviors. This segmentation allows the autonomous vehicle to adapt to varying boundary conditions by applying appropriate behavior rules to each segment, resolving the contradiction between adaptability and complexity.
2Manufacturing precision
If the vehicle modifies behavior frequently based on boundary type changes, then operational precision is improved, but navigation complexity and processing requirements increase
Solution Approach 1:
The boundary definition is pre-modified to include classifications of multiple boundary types with associated vehicle behavior limitations before the autonomous vehicle begins navigation. This preliminary classification allows the vehicle to simply follow pre-determined behavior rules for each boundary type, improving navigation precision without requiring complex real-time decision-making, thus resolving the contradiction between precision and complexity.
Data Source
AI summary
A definition of a boundary corresponding to a geographic area in which an autonomous off-road vehicle (AOV) operates is accessed. The boundary definition includes a classification of each of a plurality of portions of the boundary as being of one or more boundary types, each boundary type associated with one or more vehicle behavior limitations. The AOV navigates to a target portion of the boundary corresponding to the geographic area. The target portion of the boundary is classified as being one or more target boundary types. In response to being within a threshold distance of the target portion of the boundary, the AOV modifies a behavior of the AOV based on the one or more vehicle behavior limitations associated with the one or more target boundary types.