Autonomous Vehicle Warning Device Deployment During Fault Stops
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Solution Overview
Problem
Autonomous vehicles lack effective systems and methods for deploying warning devices during vehicle stop maneuvers, particularly in situations where a fault is detected, which can compromise safety for the vehicle, its passengers, and surrounding objects.
Innovation Solution
The system and method involve an autonomous vehicle's onboard computing system detecting a fault and determining whether to deploy warning devices such as flares, safety triangles, or lights. The system calculates a dispensing maneuver to optimize visibility, adjusting the stop trajectory if necessary based on environmental and road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle implements a vehicle stop maneuver upon detecting a fault, then the vehicle can be brought to a safe stop, but warning devices may not be deployed effectively compromising safety for surrounding objects
Solution Approach 1:
The autonomous vehicle autonomously determines whether to deploy warning devices and automatically executes the deployment without human intervention. The system monitors its own state, decides on warning device deployment based on fault conditions and environmental factors, and controls the dispensing mechanism to place warning devices optimally behind the vehicle.
Solution Approach 2:
The system determines the optimal dispensing maneuver for warning devices before actually deploying them. By calculating the optimal placement position and timing in advance based on vehicle speed, distance to obstacles, and road conditions, the system ensures safe and effective warning device deployment when the vehicle stops due to a fault.
2Reliability
If the autonomous vehicle deploys warning devices during stop maneuver, then visibility and safety for road users is enhanced, but the system complexity increases
Solution Approach 1:
The autonomous vehicle's control system integrates multiple functions: fault detection, decision-making for warning device deployment, optimization of dispensing maneuvers, and actual deployment control. This multi-functional approach consolidates what could be separate complex systems into a unified control architecture that leverages the vehicle's existing autonomous capabilities.
Solution Approach 2:
The system adjusts deployment parameters dynamically based on real-time conditions such as vehicle speed, distance to obstacles, road gradient, and weather conditions. By changing these parameters adaptively, the system optimizes warning device placement without requiring a completely new complex system,而是 modifying the behavior of existing components.
3Illumination intensity
If the autonomous vehicle optimizes the placement and timing of warning devices, then visibility for road users is improved, but the computation and control complexity increases
Solution Approach 1:
The system uses sensor data from the autonomous vehicle's environment perception system to continuously monitor conditions such as road gradient, distance to obstacles, and weather. This feedback informs the optimization of warning device placement and timing, allowing the system to adapt to changing conditions without requiring overly complex computational models.
Solution Approach 2:
The system calculates the optimal dispensing maneuver in advance by considering vehicle speed, distance to obstacles, and road conditions before actually deploying warning devices. This preliminary calculation allows for optimized visibility placement without requiring real-time complex computations during the critical deployment moment.
Data Source
AI summary
Systems and methods are directed to deploying warning devices by an autonomous vehicle. In one example, a system includes one or more processors and memory including instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include obtaining data indicating that a vehicle stop maneuver is to be implemented for an autonomous vehicle. The operations further include determining whether one or more warning devices should be dispensed from the autonomous vehicle during the vehicle stop maneuver based in part on the obtained data. The operations further include, in response to determining one or more warning devices should be dispensed from the autonomous vehicle, determining a dispensing maneuver for the one or more warning devices, and providing one or more command signals to one or more vehicle systems to perform the dispensing maneuver for the one or more warning devices.