Autonomous Vehicle Navigation Under Local Rules and User Constraints
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Solution Overview
Problem
Current autonomous vehicle systems lack the ability to efficiently navigate and operate in compliance with local rules and constraints imposed by third-party service providers and users, leading to inefficiencies and potential violations.
Innovation Solution
A system that allows autonomous vehicles to receive and comply with local rules and third-party constraints through a local controller, enabling them to optimize navigation based on social, environmental, and locality-based needs, while allowing users to opt-in for secondary control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous vehicles operate without considering local rules and third-party constraints, then navigation efficiency is improved, but compliance with local regulations and user preferences deteriorates
Solution Approach 1:
The system performs preliminary actions by obtaining and storing local rules, third-party constraints, and user preferences before the autonomous vehicle executes navigation actions. The processing system retrieves applicable rules from a database, receives constraints from third-party service providers, and obtains user preferences in advance, allowing the vehicle to plan compliant routes beforehand rather than reacting to restrictions during operation.
Solution Approach 2:
The system implements feedback mechanisms where the processing system continuously monitors navigation actions against stored local rules and received constraints. When a navigation action would violate a rule or constraint, the system receives feedback about the violation and adjusts the navigation plan accordingly, ensuring ongoing compliance while maintaining operational efficiency.
2Reliability
If autonomous vehicles comply with all local rules and third-party constraints, then operational compliance is improved, but navigation complexity increases
Solution Approach 1:
The system segments the complex compliance requirement into distinct components: local rules stored in a database, third-party constraints received from service providers, and user preferences obtained from the user. Each component is processed separately through dedicated functional modules, allowing the navigation system to handle multiple compliance layers independently and systematically rather than as a monolithic complex problem.
Solution Approach 2:
The processing system acts as an intermediary between multiple stakeholders (local authorities, third-party service providers, and users) and the autonomous vehicle's navigation system. It receives, stores, and manages constraints from various sources, then synthesizes this information into unified navigation guidance, simplifying the interface between diverse compliance requirements and the vehicle's control system.
3Ease of operation
If users maintain full control over autonomous vehicle navigation, then user preference satisfaction is improved, but system autonomy and efficiency deteriorate
Solution Approach 1:
The system implements dynamic control allocation where the degree of user involvement adjusts based on the situation. Users can specify preferences and constraints that the processing system incorporates into navigation planning, but the system maintains autonomy to execute actions without continuous user input. The balance between user control and system autonomy is flexible, allowing users to override decisions when needed while enabling automated operation for routine navigation.
Solution Approach 2:
The autonomous vehicle system performs self-service by autonomously obtaining local rules, receiving third-party constraints, and integrating user preferences to generate navigation plans without requiring continuous user intervention. The processing system independently manages the complexity of compliance requirements and executes navigation actions based on synthesized information, freeing users from detailed operational control while maintaining preference satisfaction.
Data Source
AI summary
A processing system including at least one processor of an autonomous vehicle may detect that the autonomous vehicle is or will be in an unoccupied state after conveying at least one user to a location, obtain a set of local rules associated with the location, and obtain at least a first constraint associated with at least one third-party service provider associated with the location. The processing system may then execute at least one navigation action of the autonomous vehicle that is in compliance with the set of the local rules, the at least the first constraint, and at least a second constraint of the at least one user.