User-Assisted Drivable Area Detection for Low-Load Path Planning
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Solution Overview
Problem
Existing automated driving systems face challenges in efficiently processing diverse environments to identify drivable areas, leading to practical limitations in autonomous vehicle operations.
Innovation Solution
A user-assisted method and system that allows a vehicle operator to identify drivable areas using a display device, tracing or selecting surface characteristics, which are then stored and used by the vehicle's control system to define drivable paths, reducing the complexity and processor load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated driving systems use complex processing to identify drivable areas in diverse environments, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary layer between the complex environment and the autonomous vehicle system. This intermediary processes and structures environmental data into standardized formats, enabling accurate drivable area identification without requiring the entire system to handle raw complexity. The intermediary acts as a buffer that translates diverse environmental variations into manageable information structures.
Solution Approach 2:
The system segments the complex task of drivable area identification into distinct processing stages: data acquisition, feature extraction, pattern recognition, and decision-making. By dividing the overall process into modular segments, each handling specific aspects of environment interpretation, the system achieves high measurement precision while keeping individual component complexity manageable.
2Adaptability or versatility
If automated driving systems process significant variations between different environments, then adaptability is improved, but use of energy increases
Solution Approach 1:
The system performs preliminary processing of environmental data to pre-identify patterns and characteristics before full autonomous operation begins. By preparing and structuring environment data in advance, the system reduces the computational energy required during actual driving operations while maintaining high adaptability to different environments.
Solution Approach 2:
The patent employs parameter changes to adapt processing intensity based on environmental conditions. When environments are familiar or straightforward, the system reduces processing parameters and energy consumption. When novel or complex environments are detected, the system dynamically increases processing intensity, optimizing the balance between adaptability and energy usage.
Data Source
AI summary
A user assisted method and vehicle control system provides for identifying a drivable area for autonomous vehicle operation. The system provides for displaying an area including a potential drivable area on a display device disposed within a vehicle, a means for identifying a drivable area by a vehicle operator and for storing information indicative of a drivable area indicated by the vehicle operator in a vehicle control system. The vehicle control system utilizes the identified drivable area for generating a vehicle path with the vehicle control system.