Autonomous Vehicle Trajectory Control for Emergency Vehicle Compliance
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Solution Overview
Problem
Autonomous vehicles face challenges in safely navigating public roads and highways, particularly in responding to emergency vehicles and adhering to local regulations without human intervention.
Innovation Solution
The system employs an in-vehicle control computer that processes sensor data to determine trajectories and maneuvers, including lane changes and speed adjustments, while integrating with an oversight system for real-time updates and human intervention when necessary, ensuring compliance with traffic laws and safety protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate without human drivers on public roads, then automation level increases, but safety and compliance with local regulations become more challenging
Solution Approach 1:
The system segments the autonomous vehicle operation into multiple functional modules: sensor data acquisition, trajectory determination, maneuver planning, and execution control. Each module independently processes specific aspects of operation, allowing for specialized optimization and easier verification of safety compliance for each segment
Solution Approach 2:
The system continuously monitors sensor data from the operating environment and compares actual vehicle behavior against planned trajectories and local regulations. This closed-loop feedback mechanism enables real-time adjustments to maintain safety and compliance, with the ability to detect and correct deviations from intended operation
2Reliability
If the vehicle determines additional trajectory information by comparing with other vehicles, then safety distance is maintained, but computational complexity increases
Solution Approach 1:
The system pre-determines safety distance thresholds and trajectory parameters based on vehicle category and local regulations before actual operation. By preparing these parameters in advance, the system reduces real-time computational burden while maintaining reliable safety distance maintenance through straightforward comparison operations
Solution Approach 2:
The system adjusts trajectory parameters dynamically based on the category of detected vehicles and environmental conditions. By changing parameters such as safety distance thresholds and speed limits according to vehicle categories, the system maintains appropriate safety margins without requiring complex real-time calculations for each scenario
Data Source
AI summary
An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. An example method for operating the AV includes determining a trajectory related information of a vehicle operating on a roadway on which the AV is operating; receiving sensor data of a first area that includes the vehicle; determining an additional trajectory related information for the AV by comparing the trajectory related information of the vehicle to a current trajectory related information of the AV, wherein the additional trajectory related information is based on a category to which the vehicle belongs, and wherein the additional trajectory related information allows the AV to maintain at least a distance between the AV and the vehicle; and causing the AV to operate in accordance with the additional trajectory related information.