Autonomous Vehicle Trajectory Control for Emergency and Risky Traffic
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Solution Overview
Problem
Autonomous vehicles face challenges in safely navigating public roads, highways, and areas with other vehicles or pedestrians, particularly in recognizing malfunctions and responding appropriately to emergency vehicles and non-compliant driving behaviors.
Innovation Solution
The system determines trajectory-related information for both the autonomous vehicle and surrounding vehicles, using sensor data to adjust the autonomous vehicle's trajectory to maintain safe distances and respond appropriately to emergency vehicles and non-compliant behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle uses sensor data and trajectory comparison to determine additional trajectory information, then the safety and legal compliance of the autonomous vehicle is improved, but the computational complexity and processing time increase
Solution Approach 1:
The system pre-establishes a database of trajectory information for different vehicle categories (emergency vehicles, non-compliant vehicles, etc.) and their expected behaviors. This preliminary preparation allows the autonomous vehicle to quickly retrieve and compare trajectory data during real-time operation, reducing computational complexity while maintaining high safety standards
Solution Approach 2:
The patent introduces a trajectory comparison module that acts as an intermediary between sensor data acquisition and vehicle control. This module processes and filters trajectory information, comparing it against stored patterns to generate additional trajectory information without requiring the full computational burden of analyzing all raw sensor data from scratch
2Reliability
If the autonomous vehicle maintains safe distances from all vehicles by adjusting trajectory, then collision avoidance is improved, but the efficiency and speed of travel decreases
Solution Approach 1:
The system applies different safety distance requirements to different vehicle categories based on their risk profiles. For example, it maintains larger distances from emergency vehicles and non-compliant vehicles compared to normal traffic, allowing the autonomous vehicle to travel more efficiently while still ensuring safety against high-risk targets
Solution Approach 2:
The trajectory adjustment is dynamically modified based on the category of vehicle detected. The system continuously updates safety margins according to the specific situation, allowing for optimal balance between safety and efficiency rather than applying a fixed conservative distance to all vehicles
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.