Autonomous Bus Stop-Point Selection Around Station Obstacles
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Solution Overview
Problem
Autonomous buses with level 4 or higher autonomous driving systems face challenges in safely stopping at designated locations due to various obstacles at bus stations, leading to increased risks for occupants boarding or alighting.
Innovation Solution
An autonomous vehicle system that classifies stop zones based on predetermined requirements, including designated stop zones, obstacles, surrounding vehicles, occupant positions, and vehicle posture, to select the most suitable stop location and control the vehicle to stop at that location, using a processor to determine the suitability score and prioritize stop zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the autonomous bus stops at the designated location, then the stopping accuracy is improved, but the safety of occupants boarding or alighting deteriorates due to obstacles at the bus station
Solution Approach 1:
The patent segments the stop zone into multiple candidate stop points along the designated stop line. Instead of stopping at a single fixed location, the system divides the stop area into discrete segments and evaluates each segment for safety and suitability, allowing the vehicle to select the optimal stop point that avoids obstacles while maintaining stopping accuracy
Solution Approach 2:
The system performs preliminary detection and classification of stop zones before the actual stopping action. The processor identifies candidate stop points, evaluates safety conditions, and determines the optimal stop location in advance, allowing the autonomous bus to adjust its stopping position proactively to avoid obstacles while still stopping at the designated area
2Object-affected harmful factors
If the autonomous bus stops at a location other than the designated location to avoid obstacles, then the safety of occupants is improved, but the stopping precision deteriorates
Solution Approach 1:
The system dynamically adjusts the stop position based on real-time environmental conditions. The processor continuously evaluates candidate stop points and selects the optimal location that balances safety requirements with stopping precision, allowing the autonomous bus to adapt its stopping behavior dynamically rather than following a fixed stop location
Solution Approach 2:
The patent changes the parameter of stop position from a fixed designated location to a selectable range of candidate points. By modifying the stop position parameter based on detected obstacles and safety conditions, the system maintains stopping precision within the designated zone while adapting to varying safety requirements
3Reliability
If the system classifies and evaluates multiple stop zones based on multiple requirements, then the safety and suitability of stop location selection is improved, but the computational complexity increases
Solution Approach 1:
The patent segments the stop zone classification into structured categories (designated stop zones, candidate stop points, and evaluation criteria). The processor divides the complex evaluation task into manageable segments including obstacle detection, occupant position analysis, and suitability scoring, making the computational process more organized and efficient
Solution Approach 2:
The system transforms multiple qualitative requirements into quantifiable parameters that can be evaluated and compared numerically. The processor assigns suitability scores to different stop points based on multiple factors, converting complex safety and suitability assessments into comparable numerical values that simplify the decision-making process
Data Source
AI summary
A stop control method for the autonomous vehicle includes: a processor configured to classify stop zones depending on predetermined requirement, to select one of the classified stop zones as a stop point by determining a degree of suitability of the classified stop zones based on the predetermined requirement, and to control the autonomous vehicle to stop at the selected stop point when the autonomous vehicle is stopped; and a storage configured to store data and algorithms driven by the processor.