State-Based Autonomous Vehicle Control Logic
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing autonomous driving solutions are limited in their ability to comprehensively and effectively address various conditions encountered by vehicles in their surroundings, as they lack a flexible and adaptive framework for transitioning between different driving states based on detected conditions.
Innovation Solution
A state-based autonomous driving operation system that allows vehicles to transition between predefined driving states in response to detected conditions, using sensors and decision-making algorithms to determine when and how to change states, thereby tailoring vehicle behavior to specific circumstances such as lane changes, emergency braking, or navigating through blind corners.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single fixed logic is used for autonomous driving operations, then the control system is simple, but the system cannot adapt to diverse conditions in the vehicle's surroundings
Solution Approach 1:
The autonomous driving control system is segmented into multiple discrete driving states (e.g., cruising state, lane changing state, emergency braking state, navigating blind corner state). Each state represents a specific operational mode with dedicated logic and procedures, allowing the system to adapt to diverse conditions without requiring a monolithic complex control architecture.
Solution Approach 2:
The system dynamically transitions between different driving states based on real-time sensor inputs and detected conditions. The control logic is not static but adapts by switching between pre-defined state-specific logics, enabling versatility while maintaining manageable complexity through modular state management.
2Adaptability or versatility
If multiple specialized logics are used for different driving conditions, then the system can adapt effectively, but the control logic becomes complex and difficult to manage
Solution Approach 1:
The control logic is segmented into distinct state-specific logics, where each driving state (cruising, lane changing, emergency braking, navigating blind corner) has its own dedicated procedure. This segmentation allows specialized handling for each condition while organizing the overall control architecture into manageable, modular components that are easier to develop, test, and maintain.
Solution Approach 2:
A state management mechanism acts as an intermediary between sensor inputs and the various driving logics. This mediator determines the current driving state based on detected conditions and routes control to the appropriate state-specific logic, thereby managing complexity by providing a structured interface between diverse conditions and specialized responses.
3Speed
If the vehicle continuously monitors and transitions between states, then the response to surrounding conditions is timely, but the computational load and processing time increase
Solution Approach 1:
The system performs preliminary actions by pre-defining multiple driving states and their associated logic and procedures before actual operation. When a condition is detected, the system transitions to the pre-prepared state-specific logic, enabling timely response without requiring complex real-time decision-making algorithms, thus reducing computational energy consumption.
4Reliability
If state-based control with multiple logics is implemented, then the vehicle can handle diverse conditions, but the system requires more sensors and processing power
Solution Approach 1:
The state management mechanism serves as a universal controller that handles multiple driving states and conditions through a single coordinated system. Rather than requiring separate dedicated sensor and processing systems for each driving condition, the universal state manager routes inputs and controls outputs across all states, reducing overall system complexity while maintaining comprehensive condition handling capability.
Data Source
AI summary
A system for operating a vehicle is disclosed. The vehicle is operated in a first driving state corresponding to a first set of logic for operating the vehicle, the first set of logic including logic for performing a first action at the vehicle in response to a determination that a first condition exists in the surroundings of the vehicle. That state change criteria for transitioning from the first driving state to a second driving state are satisfied is determined. In response to the determination, the vehicle is operated in the second driving state corresponding to a second set of logic, different from the first set of logic, for operating the vehicle, the second set of logic including logic for performing a second action, different from the first action, at the vehicle in response to a determination that the first condition exists in the surroundings of the vehicle.