Autonomous Vehicle Parking-Intent Detection for Lane Maneuvering
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Solution Overview
Problem
Autonomous vehicles face challenges in dense urban environments when approaching another vehicle attempting to park, as they may inadvertently block the parking space due to not recognizing the other vehicle's intention to park.
Innovation Solution
Equipping vehicles with image sensors and processors to analyze surroundings, identify parking spaces and vehicles' intentions to park, and adjust maneuvers accordingly, such as changing lanes or stopping, to allow the parking vehicle to proceed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous vehicle maintains a safe distance from the forward vehicle, then collision risk is reduced, but the autonomous vehicle may impede the forward vehicle's ability to park
Solution Approach 1:
The system uses image data processing and intention classification algorithms as intermediaries to interpret the forward vehicle's parking intent. By analyzing image data to identify parking spaces and classify the forward vehicle's intention to park, the system mediates between maintaining safe distance and allowing parking operations, enabling the autonomous vehicle to adjust its behavior based on the detected intent rather than simply maintaining a fixed safe distance
Solution Approach 2:
The system performs preliminary classification of the forward vehicle's intention to park before the actual parking maneuver begins. By processing image data to identify parking spaces and classify intent in advance, the autonomous vehicle can proactively adjust its position or speed to avoid impeding the upcoming parking operation, rather than reacting after the problem arises
2Measurement precision
If the autonomous vehicle approaches the forward vehicle closely, then monitoring accuracy is improved, but the forward vehicle's parking ability is impeded
Solution Approach 1:
The system employs image data processing and intention classification as intermediary layers between the autonomous vehicle's sensors and its control decisions. This allows the system to accurately monitor the forward vehicle's actions and intent from a distance, translating visual information into actionable insights about parking intention without requiring physical proximity that would impede the parking maneuver
Solution Approach 2:
The system replaces mechanical proximity-based monitoring with optical/image-based monitoring. Instead of relying on physical closeness to detect parking intent, the system uses image sensors and processing algorithms to detect and classify the forward vehicle's intention to park from a distance, substituting mechanical interaction with informational processing
3Productivity
If the autonomous vehicle does not recognize the forward vehicle's parking intention, then the vehicle can maintain its current trajectory, but it blocks the parking space
Solution Approach 1:
The system performs preliminary classification of the forward vehicle's intention to park by processing image data to identify parking spaces and analyze the forward vehicle's behavior patterns. This advance detection allows the autonomous vehicle to adjust its trajectory before reaching the parking space, ensuring that parking access is maintained while still allowing the autonomous vehicle to efficiently reach its destination through alternative routing
Data Source
AI summary
Methods and systems for autonomously controlling a first vehicle with a forward vehicle intends to park. An image sensor is mounted to the first vehicle and is configured to generate image data associated with a scene surrounding the first vehicle, wherein the scene includes the forward vehicle located ahead of the first vehicle. A processor is mounted to the first vehicle and communicatively coupled to the image sensor. The processor is programmed to process the image data to identify a plurality of parking spaces, a first roadway lane adjacent to the plurality of parking spaces, and a second roadway lane adjacent to the first roadway lane. The processor determines a speed of the forward vehicle, and classifies the forward vehicle as intending to park based on sensed conditions. In response to the forward vehicle being classified as intending to park, the processor issues commands to maneuver the vehicle accordingly.