Autonomous Vehicle Procession Detection for Rule-Breaking Traffic Groups
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous vehicles face challenges in detecting and responding appropriately to processions, which involve groups of vehicles or persons moving together, often disobeying standard traffic rules.
Innovation Solution
The method involves receiving sensor data to identify objects in the vehicle's environment, determining if these objects are disobeying a predetermined traffic rule in a consistent manner, and using this information to detect the presence of a procession. The vehicle can then be controlled autonomously to respond to the procession, such as by yielding appropriately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles strictly follow predetermined traffic rules, then safety and legal compliance are improved, but the ability to respond to processions is worsened
Solution Approach 1:
The system dynamically adjusts traffic rule compliance based on detected procession conditions. When a procession is detected through sensor data analysis of multiple vehicles moving together, the autonomous vehicle modifies its behavior from strict rule-following to yielding behavior, allowing it to adapt to the special traffic situation while maintaining safety
Solution Approach 2:
The system changes operational parameters when processions are detected. It monitors parameters such as vehicle group patterns, movement consistency, and road position to identify processions, then adjusts driving parameters like speed, acceleration, and right-of-way decisions to appropriately respond to the detected procession
2Measurement precision
If autonomous vehicles detect processions by monitoring multiple objects disobeying traffic rules, then detection accuracy is improved, but computational complexity and processing time are worsened
Solution Approach 1:
The detection system segments the monitoring task by focusing on specific key parameters rather than analyzing all possible traffic rule violations. It segments object detection into identifying vehicles, determining their relative positions, and checking for procession patterns, dividing the complex computational task into manageable segments that reduce overall processing complexity
Data Source
AI summary
The technology relates to detecting and responding to processions. For instance, sensor data identifying two or more objects in an environment of a vehicle may be received. The two or more objects may be determined to be disobeying a predetermined rule in a same way. Based on the determination that the two or more objects are disobeying a predetermined rule, that the two or more objects are involved in a procession may be determined. The vehicle may then be controlled autonomously in order to respond to the procession based on the determination that the two or more objects are involved in a procession.