Autonomous Vehicle Virtual Stop Line for Crosswalk Safety
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Solution Overview
Problem
Autonomous vehicles lack effective methods to safely navigate through crosswalks by considering future traffic signals, leading to potential risks for pedestrians and passengers, especially in congested areas where current methods only consider current traffic signal states.
Innovation Solution
An autonomous driving apparatus that receives traffic signal information via V2X technology, determines whether a vehicle can pass through a crosswalk based on this information and its own driving data, and generates a virtual stop line if it cannot, controlling the vehicle to avoid crossing this line.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles use only current traffic signal states for decision-making, then the control system is simple, but safety is compromised due to inability to predict future signal changes
Solution Approach 1:
The system performs preliminary actions by receiving and processing future traffic signal information in advance, predicting signal changes before they occur. This allows the vehicle to plan deceleration and stopping actions proactively, improving safety while maintaining manageable system complexity through advance preparation
Solution Approach 2:
The system applies beforehand cushioning by generating virtual stop lines that create a safety buffer zone before actual crosswalks. This cushioning approach allows the vehicle to decelerate gradually and stop safely, preventing potential collisions with pedestrians while accounting for future traffic signal changes
2Reliability
If the vehicle decelerates to stop before crosswalks for all future red signals, then pedestrian safety is improved, but traffic efficiency decreases due to unnecessary stopping
Solution Approach 1:
The system applies dynamics by adaptively adjusting deceleration decisions based on real-time analysis of future traffic signal information, vehicle speed, position, and timing. Rather than rigidly stopping for all future red signals, the system dynamically determines when stopping is necessary versus when maintaining speed is safe and efficient
Solution Approach 2:
The system changes parameters by considering multiple variables including time to crosswalk, vehicle speed, distance to stop line, and predicted signal change timing. By analyzing these parameters comprehensively, the system optimizes the balance between safety and efficiency, stopping only when necessary rather than universally
3Manufacturing precision
If the system considers future traffic signals and generates virtual stop lines, then vehicle control precision is improved, but computational complexity increases
Solution Approach 1:
The system applies segmentation by dividing the road into distinct zones using virtual stop lines. This segmentation approach simplifies control logic by creating clear decision boundaries - the vehicle needs to stop before the virtual line if a future red signal is predicted, eliminating the need for complex continuous control calculations
Solution Approach 2:
The virtual stop line acts as an intermediary element between the traffic signal information and the vehicle's braking system. This intermediary simplifies the control architecture by translating complex future signal predictions into a simple spatial boundary that the vehicle either stops before or crosses, reducing computational burden
Data Source
AI summary
Provided are a method and apparatus for controlling a vehicle, the method including receiving traffic signal information, determining whether or not a vehicle passes through a crosswalk, on the basis of the traffic signal information and driving information of the vehicle, in response to determining that the vehicle does not pass through the crosswalk, generating a virtual stop line, and controlling the vehicle not to cross the virtual stop line.