Road Segment Classification for Proactive Hazard-Aware Navigation
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Solution Overview
Problem
Conventional approaches for autonomous vehicles lack effective methods to determine risks associated with road segments before navigation, leading to delayed awareness of potential hazards and compromised safety.
Innovation Solution
The system determines road segment similarities based on sensor data and scenario information, allowing for the inference of risk profiles and scenario exposure rates, enabling informed navigation and fleet management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional approaches are used for autonomous vehicle navigation, then the system structure remains simple, but safety is compromised due to delayed awareness of potential hazards
Solution Approach 1:
The system performs preliminary classification of road segments into different types (e.g., residential, commercial, industrial) before navigation occurs. By pre-categorizing road segments and associating them with risk profiles and scenario exposure rates, the system enables proactive safety assessments rather than reactive responses to hazards
Solution Approach 2:
The patent segments the road network into distinct road segment types based on shared characteristics and risk profiles. Each road segment type is independently classified and associated with specific scenario information, allowing the system to evaluate risks for entire categories of road segments rather than analyzing each segment individually in real-time
2Reliability
If real-time hazard detection is implemented, then safety improves, but response time is delayed as hazards are detected after entry onto road segments
Solution Approach 1:
The system determines road segment types and associates risk profiles with each type before the vehicle navigates those segments. This preliminary classification allows the autonomous vehicle to anticipate hazards and adjust navigation strategies in advance, rather than detecting and responding to hazards after they are encountered
Solution Approach 2:
By dividing the road network into segmented types with pre-determined risk profiles, the system enables rapid risk assessment based on segment classification rather than requiring comprehensive real-time analysis of each individual hazard, thus reducing response time while maintaining safety
3Measurement precision
If comprehensive risk profiling is performed for all road segments, then safety and accuracy improve, but computational complexity and processing requirements increase
Solution Approach 1:
The system creates universal road segment types that can represent multiple individual road segments with similar characteristics. Each road segment type serves as a template that can be applied to numerous specific segments, allowing the system to maintain high measurement precision through detailed classification while reducing computational complexity by processing segment types rather than individual segments
Solution Approach 2:
The patent uses road segment types as templates or copies that represent groups of similar road segments. Once a road segment type is classified and associated with a risk profile, this classification can be copied and applied to multiple segments sharing the same characteristics, significantly reducing the computational burden of comprehensive risk profiling across the entire road network
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.